--- base_model: google-bert/bert-base-uncased datasets: [] language: [] library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:1407 - loss:Contrastive widget: - source_sentence: fact checking dataset sentences: - "DATASET_NAME: \"mwong/fever-claim-related\"\nFEATURES: {'claim': {'dtype': 'string',\ \ '_type': 'Value'}, 'evidence': {'dtype': 'string', '_type': 'Value'}, 'labels':\ \ {'dtype': 'int64', '_type': 'Value'}, 'input_ids': {'feature': {'dtype': 'int32',\ \ '_type': 'Value'}, '_type': 'Sequence'}, 'token_type_ids': {'feature': {'dtype':\ \ 'int8', '_type': 'Value'}, '_type': 'Sequence'}, 'attention_mask': {'feature':\ \ {'dtype': 'int8', '_type': 'Value'}, '_type': 'Sequence'}}\nDATA SAMPLE:\n[\n\ \ {\n \"row_idx\": 0,\n \"row\": {\n \"claim\": \"Nikolaj Coster-Waldau\ \ worked with the Fox Broadcasting Company.\",\n \"evidence\": \"Nikolaj\ \ Coster-Waldau -LRB- -LSB- ne\\u0261ola\\u026a k\\u02b0\\u028csd\\u0250 \\u02c8\\\ u028bald\\u0251\\u028a -RSB- ; born 27 July 1970 -RRB- is a Danish actor , producer\ \ and screenwriter .. He graduated from Danish National School of Theatre in Copenhagen\ \ in 1993 .. Danish National School of Theatre. Danish National School of Theatre\ \ and Contemporary Dance. Copenhagen. Copenhagen. Coster-Waldau 's breakthrough\ \ performance in Denmark was his role in the film Nightwatch -LRB- 1994 -RRB-\ \ .. Nightwatch. Nightwatch ( 1994 film ). Since then he has appeared in numerous\ \ films in his native Scandinavia and Europe in general , including Headhunters\ \ -LRB- 2011 -RRB- and A Thousand Times Good Night -LRB- 2013 -RRB- .. Headhunters.\ \ Headhunters ( film ). A Thousand Times Good Night. A Thousand Times Good Night.\ \ In the United States , his debut film role was in the war film Black Hawk Down\ \ -LRB- 2001 -RRB- , playing Medal of Honor recipient Gary Gordon .. Black Hawk\ \ Down. Black Hawk Down ( film ). Gary Gordon. Gary Gordon. He then played Detective\ \ John Amsterdam in the short-lived Fox television series New Amsterdam -LRB-\ \ 2008 -RRB- , as well as appearing as Frank Pike in the 2009 Fox television film\ \ Virtuality , originally intended as a pilot .. Fox television. Fox Broadcasting\ \ Company. New Amsterdam. New Amsterdam ( TV series ). Virtuality. Virtuality\ \ ( TV series ). He became widely known to a broad audience for his current role\ \ as Ser Jaime Lannister , in the HBO series Game of Thrones .. Jaime Lannister.\ \ Jaime Lannister. HBO. HBO. Game of Thrones. Game of Thrones. In 2017 , he became\ \ one of the highest paid actors on television and earned # 2 million per episode\ \ of Game of Thrones .. Game of Thrones. Game of Thrones. highest paid actors\ \ on television. 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1,\n 1,\n 1,\n 1,\n 1\n ]\n },\n \"\ truncated_cells\": []\n },\n {\n \"row_idx\": 1,\n \"row\": {\n \"\ claim\": \"Nikolaj Coster-Waldau worked with the Fox Broadcasting Company.\",\n\ \ \"evidence\": \"Majboor -LRB- Hindi : \\u092e\\u091c\\u092c\\u0930 , English\ \ : Compulsed -RRB- is a 1974 Indian Hindi crime-thriller film directed by Ravi\ \ Tandon .. Ravi Tandon. Ravi Tandon. Hindi. Hindi. crime. crime film. thriller\ \ film. thriller film. Music is by Laxmikant Pyarelal and lyrics by Anand Bakshi\ \ .. Laxmikant Pyarelal. Laxmikant Pyarelal. Anand Bakshi. Anand Bakshi. The film\ \ was written by Salim-Javed .. Salim-Javed. Salim-Javed. The movie stars Amitabh\ \ Bachchan , Parveen Babi , Pran , Madan Puri , Rehman and Farida Jalal .. Amitabh\ \ Bachchan. Amitabh Bachchan. Parveen Babi. Parveen Babi. Pran. Pran ( actor ).\ \ Farida Jalal. Farida Jalal. Madan Puri. Madan Puri. Rehman. Rehman ( actor ).\ \ It is a remake of an American film titled Zig Zag -LRB- 1970 film -RRB- starring\ \ George Kennedy The film was later remade in Telugu by director K. Raghavendra\ \ Rao as Raja -LRB- 1976 -RRB- starring Shobhan Babu and Jayasudha .. George Kennedy.\ \ George Kennedy. Telugu. Telugu language. K. Raghavendra Rao. K. Raghavendra\ \ Rao. Raja. Raja ( 1976 film ). Shobhan Babu. Shobhan Babu. Jayasudha. Jayasudha.\ \ It was also remade in Tamil as Naan Vazhavaippen -LRB- 1979 -RRB- with Sivaji\ \ Ganeshan and K. R. Vijaya , and in Gujarati as Naseeb No Khel -LRB- 1982 -RRB-\ \ and also in Malayalam as Ee Kaikalil -LRB- 1986 -RRB- .. Tamil. Tamil language.\ \ Naan Vazhavaippen. Naan Vazhavaippen. Sivaji Ganeshan. Sivaji Ganeshan. K. R.\ \ Vijaya. K. R. Vijaya. Gujarati. Gujarati language. Ee Kaikalil. 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0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n\ \ 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n \ \ 0,\n 0,\n 0,\n 0,\n 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1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n\ \ 1,\n 1,\n 1,\n 1,\n 1,\n 1,\n \ \ 1,\n 1,\n 1,\n 1\n ]\n },\n \"truncated_cells\"\ : []\n }\n]" - "DATASET_NAME: \"nikchar/20k_claims_train_final\"\nFEATURES: {'claim': {'dtype':\ \ 'string', '_type': 'Value'}, 'text': {'dtype': 'string', '_type': 'Value'},\ \ 'label': {'dtype': 'int64', '_type': 'Value'}}\nDATA SAMPLE:\n[\n {\n \"\ row_idx\": 0,\n \"row\": {\n \"claim\": \"Billy Bob Thornton is divorced\ \ from Angelina Jolie.\",\n \"text\": \"Angelina Jolie Pitt -LRB- -LSB- d\\\ u0292o\\u028a\\u02c8li\\u02d0 -RSB- ; n\\u00e9e Voight ; born June 4 , 1975 -RRB-\ \ is an American actress , filmmaker , philanthropist and humanitarian . She has\ \ received an Academy Award , two Screen Actors Guild Awards , and three Golden\ \ Globe Awards , and has been cited as Hollywood 's highest-paid actress . Jolie\ \ made her screen debut as a child alongside her father , Jon Voight , in Lookin\ \ ' to Get Out -LRB- 1982 -RRB- . Her film career began in earnest a decade later\ \ with the low-budget production Cyborg 2 -LRB- 1993 -RRB- , followed by her first\ \ leading role in a major film , Hackers -LRB- 1995 -RRB- . She starred in the\ \ critically acclaimed biographical cable films George Wallace -LRB- 1997 -RRB-\ \ and Gia -LRB- 1998 -RRB- , and won an Academy Award for Best Supporting Actress\ \ for her performance in the drama Girl , Interrupted -LRB- 1999 -RRB- . Jolie\ \ 's starring role as the video game heroine Lara Croft in Lara Croft : Tomb Raider\ \ -LRB- 2001 -RRB- established her as a leading Hollywood actress . She continued\ \ her successful action-star career with Mr. & Mrs. Smith -LRB- 2005 -RRB- , Wanted\ \ -LRB- 2008 -RRB- , and Salt -LRB- 2010 -RRB- , and received critical acclaim\ \ for her performances in the dramas A Mighty Heart -LRB- 2007 -RRB- and Changeling\ \ -LRB- 2008 -RRB- , which earned her a nomination for an Academy Award for Best\ \ Actress . Beginning in the 2010s , she expanded her career into directing ,\ \ screenwriting , and producing , starting with the wartime dramas In the Land\ \ of Blood and Honey -LRB- 2011 -RRB- and Unbroken -LRB- 2014 -RRB- . Her biggest\ \ commercial success came with the fantasy picture Maleficent -LRB- 2014 -RRB-\ \ . In addition to her film career , Jolie is noted for her humanitarian efforts\ \ , for which she has received a Jean Hersholt Humanitarian Award and an honorary\ \ damehood of the Order of St Michael and St George -LRB- DCMG -RRB- , among other\ \ honors . She promotes various causes , including conservation , education ,\ \ and women 's rights , and is most noted for her advocacy on behalf of refugees\ \ as a Special Envoy for the United Nations High Commissioner for Refugees -LRB-\ \ UNHCR -RRB- . As a public figure , Jolie has been cited as one of the most influential\ \ and powerful people in the American entertainment industry , as well as the\ \ world 's most beautiful woman , by various media outlets . Her personal life\ \ is the subject of wide publicity . Divorced from actors Jonny Lee Miller and\ \ Billy Bob Thornton , she separated from her third husband , actor Brad Pitt\ \ , in September 2016 . They have six children together , three of whom were adopted\ \ internationally . \",\n \"label\": 2\n },\n \"truncated_cells\":\ \ []\n },\n {\n \"row_idx\": 1,\n \"row\": {\n \"claim\": \"John\ \ McCain has chaired the House Commerce Committee.\",\n \"text\": \"John\ \ Sidney McCain III -LRB- born August 29 , 1936 -RRB- is an American politician\ \ who currently serves as the senior United States Senator from Arizona . He was\ \ the Republican nominee for the 2008 U.S. presidential election . McCain followed\ \ his father and grandfather , both four-star admirals , into the United States\ \ Navy , graduating from the U.S. Naval Academy in 1958 . He became a naval aviator\ \ , flying ground-attack aircraft from aircraft carriers . During the Vietnam\ \ War , he was almost killed in the 1967 USS Forrestal fire . In October 1967\ \ , while on a bombing mission over Hanoi , he was shot down , seriously injured\ \ , and captured by the North Vietnamese . He was a prisoner of war until 1973\ \ . McCain experienced episodes of torture , and refused an out-of-sequence early\ \ repatriation offer . His war wounds have left him with lifelong physical limitations\ \ . He retired from the Navy as a captain in 1981 and moved to Arizona , where\ \ he entered politics . Elected to the U.S. House of Representatives in 1982 ,\ \ McCain served two terms . He was first elected to the U.S. Senate in 1986 ,\ \ winning re-election easily five times , most recently in 2016 . While generally\ \ adhering to conservative principles , McCain at times has had a media reputation\ \ as a `` maverick '' for his willingness to disagree with his party on certain\ \ issues . After being investigated and largely exonerated in a political influence\ \ scandal of the 1980s as a member of the Keating Five , he made campaign finance\ \ reform one of his signature concerns , eventually gaining passage of the McCain\ \ -- Feingold Act in 2002 . He is also known for his work in the 1990s to restore\ \ diplomatic relations with Vietnam , and for his belief that the Iraq War should\ \ have been fought to a successful conclusion . McCain has chaired the Senate\ \ Commerce Committee , opposed spending that he considered to be pork barrel ,\ \ and played a key role in alleviating a crisis over judicial nominations with\ \ the bi-partisan group known as the Gang of 14 . McCain ran for the Republican\ \ nomination in 2000 but lost a heated primary season contest to George W. Bush\ \ of Texas . He secured the nomination in 2008 after coming back from early reversals\ \ , but was defeated by Democratic candidate Barack Obama in the general election\ \ , losing by a 365 -- 173 electoral college margin and by 53 -- 46 % in the popular\ \ vote . He subsequently adopted more orthodox conservative stances and attitudes\ \ and largely opposed actions of the Obama administration , especially in regard\ \ to foreign policy matters . By 2013 , however , he had become a key figure in\ \ the Senate for negotiating deals on certain issues in an otherwise partisan\ \ environment . In 2015 , McCain became chairman of the Senate Armed Services\ \ Committee . \",\n \"label\": 0\n },\n \"truncated_cells\": []\n \ \ }\n]" - "DATASET_NAME: \"thepurpleowl/codequeries\"\nFEATURES: {'query_name': {'dtype':\ \ 'string', '_type': 'Value'}, 'code_file_path': {'dtype': 'string', '_type':\ \ 'Value'}, 'context_blocks': [{'content': {'dtype': 'string', '_type': 'Value'},\ \ 'metadata': {'dtype': 'string', '_type': 'Value'}, 'header': {'dtype': 'string',\ \ '_type': 'Value'}, 'index': {'dtype': 'int32', '_type': 'Value'}}], 'answer_spans':\ \ [{'span': {'dtype': 'string', '_type': 'Value'}, 'start_line': {'dtype': 'int32',\ \ '_type': 'Value'}, 'start_column': {'dtype': 'int32', '_type': 'Value'}, 'end_line':\ \ {'dtype': 'int32', '_type': 'Value'}, 'end_column': {'dtype': 'int32', '_type':\ \ 'Value'}}], 'supporting_fact_spans': [{'span': {'dtype': 'string', '_type':\ \ 'Value'}, 'start_line': {'dtype': 'int32', '_type': 'Value'}, 'start_column':\ \ {'dtype': 'int32', '_type': 'Value'}, 'end_line': {'dtype': 'int32', '_type':\ \ 'Value'}, 'end_column': {'dtype': 'int32', '_type': 'Value'}}], 'example_type':\ \ {'dtype': 'int8', '_type': 'Value'}, 'single_hop': {'dtype': 'bool', '_type':\ \ 'Value'}, 'subtokenized_input_sequence': {'feature': {'dtype': 'string', '_type':\ \ 'Value'}, '_type': 'Sequence'}, 'label_sequence': {'feature': {'dtype': 'int8',\ \ '_type': 'Value'}, '_type': 'Sequence'}}\nDATA SAMPLE:\n[\n {\n \"row_idx\"\ : 0,\n \"row\": {\n \"query_name\": \"Unused import\",\n \"code_file_path\"\ : \"rcbops/glance-buildpackage/glance/tests/unit/test_db.py\",\n \"context_blocks\"\ : [\n {\n \"content\": \"# vim: tabstop=4 shiftwidth=4 softtabstop=4\\\ n\\n# Copyright 2010-2011 OpenStack, LLC\\n# All Rights Reserved.\\n#\\n# Licensed\ \ under the Apache License, Version 2.0 (the \\\"License\\\"); you may\\n# \ \ not use this file except in compliance with the License. You may obtain\\n#\ \ a copy of the License at\\n#\\n# http://www.apache.org/licenses/LICENSE-2.0\\\ n#\\n# Unless required by applicable law or agreed to in writing, software\\\ n# distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\ \ WITHOUT\\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\ \ See the\\n# License for the specific language governing permissions and limitations\\\ n# under the License.\\n\\nimport datetime\\n\\nfrom glance.common import context\\\ nfrom glance.common import exception\\nfrom glance.common import utils\\nfrom\ \ glance.registry import context as rcontext\\nfrom glance.registry.db import\ \ api as db_api\\nfrom glance.registry.db import models as db_models\\nfrom glance.tests.unit\ \ import base\\nfrom glance.tests import utils as test_utils\\n\\n\\n_gen_uuid\ \ = utils.generate_uuid\\n\\nUUID1 = _gen_uuid()\\nUUID2 = _gen_uuid()\\n\\n\\\ nCONF = {'sql_connection': 'sqlite://',\\n 'verbose': False,\\n \ \ 'debug': False}\\n\\nFIXTURES = [\\n {'id': UUID1,\\n 'name': 'fake image\ \ #1',\\n 'status': 'active',\\n 'disk_format': 'ami',\\n 'container_format':\ \ 'ami',\\n 'is_public': False,\\n 'created_at': datetime.datetime.utcnow(),\\\ n 'updated_at': datetime.datetime.utcnow(),\\n 'deleted_at': None,\\n\ \ 'deleted': False,\\n 'checksum': None,\\n 'min_disk': 0,\\n \ \ 'min_ram': 0,\\n 'size': 13,\\n 'location': \\\"swift://user:passwd@acct/container/obj.tar.0\\\ \",\\n 'properties': {'type': 'kernel'}},\\n {'id': UUID2,\\n 'name':\ \ 'fake image #2',\\n 'status': 'active',\\n 'disk_format': 'vhd',\\n\ \ 'container_format': 'ovf',\\n 'is_public': True,\\n 'created_at':\ \ datetime.datetime.utcnow(),\\n 'updated_at': datetime.datetime.utcnow(),\\\ n 'deleted_at': None,\\n 'deleted': False,\\n 'checksum': None,\\\ n 'min_disk': 5,\\n 'min_ram': 256,\\n 'size': 19,\\n 'location':\ \ \\\"file:///tmp/glance-tests/2\\\",\\n 'properties': {}}]\\n\\n\\n\",\n\ \ \"metadata\": \"root\",\n \"header\": \"['module', '___EOS___']\"\ ,\n \"index\": 0\n },\n {\n \"content\": \"class\ \ TestRegistryDb(base.IsolatedUnitTest):\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\"\ ,\n \"metadata\": \"root.TestRegistryDb\",\n \"header\": \"\ ['module', '___EOS___']\",\n \"index\": 74\n },\n {\n \ \ \"content\": \" def setUp(self):\\n \\\"\\\"\\\"Establish\ \ a clean test environment\\\"\\\"\\\"\\n super(TestRegistryDb, self).setUp()\\\ n conf = test_utils.TestConfigOpts(CONF)\\n self.adm_context = rcontext.RequestContext(is_admin=True)\\\ n self.context = rcontext.RequestContext(is_admin=False)\\n db_api.configure_db(conf)\\\ n self.destroy_fixtures()\\n self.create_fixtures()\",\n \ \ \"metadata\": \"root.TestRegistryDb.setUp\",\n \"header\": \"['class',\ \ 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']\"\ ,\n \"index\": 76\n },\n {\n \"content\": \" \ \ def create_fixtures(self):\\n for fixture in FIXTURES:\\n \ \ db_api.image_create(self.adm_context, fixture)\",\n \"metadata\"\ : \"root.TestRegistryDb.create_fixtures\",\n \"header\": \"['class',\ \ 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']\"\ ,\n \"index\": 86\n },\n {\n \"content\": \" \ \ def destroy_fixtures(self):\\n # Easiest to just drop the models and\ \ re-create them...\\n db_models.unregister_models(db_api._ENGINE)\\n \ \ db_models.register_models(db_api._ENGINE)\",\n \"metadata\":\ \ \"root.TestRegistryDb.destroy_fixtures\",\n \"header\": \"['class',\ \ 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']\"\ ,\n \"index\": 90\n },\n {\n \"content\": \" \ \ def test_image_get(self):\\n image = db_api.image_get(self.context,\ \ UUID1)\\n self.assertEquals(image['id'], FIXTURES[0]['id'])\",\n \ \ \"metadata\": \"root.TestRegistryDb.test_image_get\",\n \"header\"\ : \"['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':',\ \ '___EOS___']\",\n \"index\": 95\n },\n {\n \"\ content\": \" def test_image_get_disallow_deleted(self):\\n db_api.image_destroy(self.adm_context,\ \ UUID1)\\n self.assertRaises(exception.NotFound, db_api.image_get,\\n\ \ self.context, UUID1)\",\n \"metadata\": \"\ root.TestRegistryDb.test_image_get_disallow_deleted\",\n \"header\":\ \ \"['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':',\ \ '___EOS___']\",\n \"index\": 99\n },\n {\n \"\ content\": \" def test_image_get_allow_deleted(self):\\n db_api.image_destroy(self.adm_context,\ \ UUID1)\\n image = db_api.image_get(self.adm_context, UUID1)\\n \ \ self.assertEquals(image['id'], FIXTURES[0]['id'])\",\n \"metadata\"\ : \"root.TestRegistryDb.test_image_get_allow_deleted\",\n \"header\"\ : \"['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':',\ \ '___EOS___']\",\n \"index\": 104\n },\n {\n \ \ \"content\": \" def test_image_get_force_allow_deleted(self):\\n db_api.image_destroy(self.adm_context,\ \ UUID1)\\n image = db_api.image_get(self.context, UUID1, force_show_deleted=True)\\\ n self.assertEquals(image['id'], FIXTURES[0]['id'])\",\n \"metadata\"\ : \"root.TestRegistryDb.test_image_get_force_allow_deleted\",\n \"header\"\ : \"['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':',\ \ '___EOS___']\",\n \"index\": 109\n },\n {\n \ \ \"content\": \" def test_image_get_all(self):\\n images = db_api.image_get_all(self.context)\\\ n self.assertEquals(len(images), 2)\",\n \"metadata\": \"root.TestRegistryDb.test_image_get_all\"\ ,\n \"header\": \"['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest',\ \ ')', ':', '___EOS___']\",\n \"index\": 114\n },\n {\n\ \ \"content\": \" def test_image_get_all_marker(self):\\n images\ \ = db_api.image_get_all(self.context, marker=UUID2)\\n self.assertEquals(len(images),\ \ 1)\",\n \"metadata\": \"root.TestRegistryDb.test_image_get_all_marker\"\ ,\n \"header\": \"['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest',\ \ ')', ':', '___EOS___']\",\n \"index\": 118\n },\n {\n\ \ \"content\": \" def test_image_get_all_marker_deleted(self):\\n\ \ \\\"\\\"\\\"Cannot specify a deleted image as a marker.\\\"\\\"\\\"\\\ n db_api.image_destroy(self.adm_context, UUID1)\\n filters = {'deleted':\ \ False}\\n self.assertRaises(exception.NotFound, db_api.image_get_all,\\\ n self.context, marker=UUID1, filters=filters)\",\n \ \ \"metadata\": \"root.TestRegistryDb.test_image_get_all_marker_deleted\"\ ,\n \"header\": \"['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest',\ \ ')', ':', '___EOS___']\",\n \"index\": 122\n },\n {\n\ \ \"content\": \" def test_image_get_all_marker_deleted_showing_deleted_as_admin(self):\\\ n \\\"\\\"\\\"Specify a deleted image as a marker if showing deleted images.\\\ \"\\\"\\\"\\n db_api.image_destroy(self.adm_context, UUID1)\\n images\ \ = db_api.image_get_all(self.adm_context, marker=UUID1)\\n self.assertEquals(len(images),\ \ 0)\",\n \"metadata\": \"root.TestRegistryDb.test_image_get_all_marker_deleted_showing_deleted_as_admin\"\ ,\n \"header\": \"['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest',\ \ ')', ':', '___EOS___']\",\n \"index\": 129\n },\n {\n\ \ \"content\": \" def test_image_get_all_marker_deleted_showing_deleted(self):\\\ n \\\"\\\"\\\"Specify a deleted image as a marker if showing deleted images.\\\ \"\\\"\\\"\\n db_api.image_destroy(self.adm_context, UUID1)\\n filters\ \ = {'deleted': True}\\n images = db_api.image_get_all(self.context, marker=UUID1,\\\ n filters=filters)\\n self.assertEquals(len(images),\ \ 0)\",\n \"metadata\": \"root.TestRegistryDb.test_image_get_all_marker_deleted_showing_deleted\"\ ,\n \"header\": \"['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest',\ \ ')', ':', '___EOS___']\",\n \"index\": 135\n }\n ],\n \ \ \"answer_spans\": [\n {\n \"span\": \"from glance.common\ \ import context\",\n \"start_line\": 19,\n \"start_column\"\ : 0,\n \"end_line\": 19,\n \"end_column\": 33\n }\n \ \ ],\n \"supporting_fact_spans\": [],\n \"example_type\": 1,\n \ \ \"single_hop\": false,\n \"subtokenized_input_sequence\": [\n \ \ \"[CLS]_\",\n \"Un\",\n \"used_\",\n \"import_\",\n \ \ \"[SEP]_\",\n \"module_\",\n \"\\\\u\\\\u\\\\uEOS\\\\u\\\ \\u\\\\u_\",\n \"#\",\n \" \",\n \"vim\",\n \":\"\ ,\n \" \",\n \"tabs\",\n \"top\",\n \"=\",\n \ \ \"4\",\n \" \",\n \"shift\",\n \"widt\",\n \"\ h\",\n \"=\",\n \"4\",\n \" \",\n \"soft\",\n \ \ \"tabs\",\n \"top\",\n \"=\",\n \"4_\",\n \"\\\ \\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\\ u_\",\n \"#\",\n \" \",\n \"Copy\",\n \"right\",\n\ \ \" \",\n \"2010\",\n \"-\",\n \"2011\",\n \ \ \" \",\n \"Open\",\n \"Stack\",\n \",\",\n \" \"\ ,\n \"LLC\",\n \"_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\\ u_\",\n \"#\",\n \" \",\n \"All\",\n \" \",\n \ \ \"Rig\",\n \"hts\",\n \" \",\n \"Reserve\",\n \ \ \"d\",\n \"._\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \ \ \"#\",\n \"_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"#\",\n \" \",\n \" \",\n \" \",\n \"\ \ \",\n \"License\",\n \"d\",\n \" \",\n \"under\"\ ,\n \" \",\n \"the\",\n \" \",\n \"Ap\",\n \ \ \"ache\",\n \" \",\n \"License\",\n \",\",\n \"\ \ \",\n \"Version\",\n \" \",\n \"2.0\",\n \" \",\n\ \ \"(\",\n \"the\",\n \" \",\n \"\\\"\",\n \ \ \"License\",\n \"\\\");\",\n \" \",\n \"you\",\n \ \ \" \",\n \"may\",\n \"_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\ \\u\\\\u_\",\n \"#\",\n \" \",\n \" \",\n \" \",\n\ \ \" \",\n \"not\",\n \" \",\n \"use\",\n \"\ \ \",\n \"this\",\n \" \",\n \"file\",\n \" \",\n\ \ \"except\",\n \" \",\n \"in\",\n \" \",\n \ \ \"compli\",\n \"anc\",\n \"e\",\n \" \",\n \"with\"\ ,\n \" \",\n \"the\",\n \" \",\n \"License\",\n \ \ \".\",\n \" \",\n \"You\",\n \" \",\n \"may\"\ ,\n \" \",\n \"obtain\",\n \"_\",\n \"\\\\u\\\\u\\\ \\uNL\\\\u\\\\u\\\\u_\",\n \"#\",\n \" \",\n \" \",\n \ \ \" \",\n \" \",\n \"a\",\n \" \",\n \"copy\"\ ,\n \" \",\n \"of\",\n \" \",\n \"the\",\n \ \ \" \",\n \"License\",\n \" \",\n \"at_\",\n \"\\\ \\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"#\",\n \"_\",\n \"\ \\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"#\",\n \" \",\n \ \ \" \",\n \" \",\n \" \",\n \" \",\n \"http\"\ ,\n \"://\",\n \"www\",\n \".\",\n \"apa\",\n \ \ \"che\",\n \".\",\n \"org\",\n \"/\",\n \"license\"\ ,\n \"s\",\n \"/\",\n \"LICENSE\",\n \"-\",\n \ \ \"2.0_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"#\"\ ,\n \"_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\ #\",\n \" \",\n \" \",\n \" \",\n \" \",\n \ \ \"Un\",\n \"less\",\n \" \",\n \"require\",\n \"\ d\",\n \" \",\n \"by\",\n \" \",\n \"applica\",\n\ \ \"ble\",\n \" \",\n \"law\",\n \" \",\n \"\ or\",\n \" \",\n \"agree\",\n \"d\",\n \" \",\n \ \ \"to\",\n \" \",\n \"in\",\n \" \",\n \"writ\"\ ,\n \"ing\",\n \",\",\n \" \",\n \"software\",\n \ \ \"_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"#\"\ ,\n \" \",\n \" \",\n \" \",\n \" \",\n \"\ distributed\",\n \" \",\n \"under\",\n \" \",\n \"\ the\",\n \" \",\n \"License\",\n \" \",\n \"is\",\n\ \ \" \",\n \"distributed\",\n \" \",\n \"on\",\n \ \ \" \",\n \"an\",\n \" \",\n \"\\\"\",\n \"\ AS\",\n \" \",\n \"IS\",\n \"\\\"\",\n \" \",\n \ \ \"BAS\",\n \"IS\",\n \",\",\n \" \",\n \"WITH\"\ ,\n \"OUT_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \ \ \"#\",\n \" \",\n \" \",\n \" \",\n \" \",\n \ \ \"WAR\",\n \"RAN\",\n \"TIES\",\n \" \",\n \"\ OR\",\n \" \",\n \"CONDITION\",\n \"S\",\n \" \",\n\ \ \"OF\",\n \" \",\n \"ANY\",\n \" \",\n \"\ KIND\",\n \",\",\n \" \",\n \"eit\",\n \"her\",\n\ \ \" \",\n \"express\",\n \" \",\n \"or\",\n \ \ \" \",\n \"impli\",\n \"ed\",\n \".\",\n \" \"\ ,\n \"See\",\n \" \",\n \"the_\",\n \"\\\\u\\\\u\\\ \\uNL\\\\u\\\\u\\\\u_\",\n \"#\",\n \" \",\n \" \",\n \ \ \" \",\n \" \",\n \"License\",\n \" \",\n \"\ for\",\n \" \",\n \"the\",\n \" \",\n \"specific\"\ ,\n \" \",\n \"language\",\n \" \",\n \"govern\",\n\ \ \"ing\",\n \" \",\n \"permissi\",\n \"ons\",\n \ \ \" \",\n \"and\",\n \" \",\n \"limit\",\n \ \ \"ations_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"#\"\ ,\n \" \",\n \" \",\n \" \",\n \" \",\n \"\ under\",\n \" \",\n \"the\",\n \" \",\n \"License\"\ ,\n \"._\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\ \\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"import_\",\n \"datetime_\"\ ,\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\ \\uNL\\\\u\\\\u\\\\u_\",\n \"from_\",\n \"glance_\",\n \"\ ._\",\n \"common_\",\n \"import_\",\n \"context_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"from_\",\n \ \ \"glance_\",\n \"._\",\n \"common_\",\n \"import_\",\n\ \ \"exception_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n\ \ \"from_\",\n \"glance_\",\n \"._\",\n \"common_\"\ ,\n \"import_\",\n \"utils_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\ \\u\\\\u\\\\u_\",\n \"from_\",\n \"glance_\",\n \"._\",\n\ \ \"registry_\",\n \"import_\",\n \"context_\",\n \ \ \"as_\",\n \"rcon\",\n \"text_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\ \\u\\\\u\\\\u_\",\n \"from_\",\n \"glance_\",\n \"._\",\n\ \ \"registry_\",\n \"._\",\n \"db_\",\n \"import_\"\ ,\n \"api_\",\n \"as_\",\n \"db\",\n \"\\\\u\",\n\ \ \"api_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \ \ \"from_\",\n \"glance_\",\n \"._\",\n \"registry_\"\ ,\n \"._\",\n \"db_\",\n \"import_\",\n \"models_\"\ ,\n \"as_\",\n \"db\",\n \"\\\\u\",\n \"models_\"\ ,\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"from_\",\n \ \ \"glance_\",\n \"._\",\n \"tests_\",\n \"._\",\n\ \ \"unit_\",\n \"import_\",\n \"base_\",\n \"\\\\\ u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"from_\",\n \"glance_\"\ ,\n \"._\",\n \"tests_\",\n \"import_\",\n \"utils_\"\ ,\n \"as_\",\n \"test\\\\u\",\n \"utils_\",\n \"\\\ \\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\\ u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\"\ ,\n \"gen\",\n \"\\\\u\",\n \"uuid_\",\n \"=_\",\n\ \ \"utils_\",\n \"._\",\n \"generat\",\n \"e\\\\u\"\ ,\n \"uuid_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"UU\",\n \"ID\"\ ,\n \"1_\",\n \"=_\",\n \"\\\\u\",\n \"gen\",\n \ \ \"\\\\u\",\n \"uuid_\",\n \"(_\",\n \")_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"UU\",\n \"\ ID\",\n \"2_\",\n \"=_\",\n \"\\\\u\",\n \"gen\",\n\ \ \"\\\\u\",\n \"uuid_\",\n \"(_\",\n \")_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\ CONF_\",\n \"=_\",\n \"{_\",\n \"'\",\n \"sql\",\n\ \ \"\\\\u\",\n \"connecti\",\n \"on\",\n \"'_\",\n\ \ \":_\",\n \"'\",\n \"sql\",\n \"ite\",\n \ \ \"://'_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n\ \ \"'\",\n \"verbo\",\n \"se\",\n \"'_\",\n \ \ \":_\",\n \"False_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\ \\u\\\\u\\\\u_\",\n \"'\",\n \"debug\",\n \"'_\",\n \ \ \":_\",\n \"False_\",\n \"}_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\ FIXTURE\",\n \"S_\",\n \"=_\",\n \"[_\",\n \"\\\\\ u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"{_\",\n \"'\",\n \"\ id\",\n \"'_\",\n \":_\",\n \"UU\",\n \"ID\",\n \ \ \"1_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"'\",\n \"name\",\n \"'_\",\n \":_\",\n \ \ \"'\",\n \"fake\",\n \" \",\n \"image\",\n \"\ \ \",\n \"#\",\n \"1\",\n \"'_\",\n \",_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"status\"\ ,\n \"'_\",\n \":_\",\n \"'\",\n \"active\",\n \ \ \"'_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"'\",\n \"disk\",\n \"\\\\u\",\n \"format\",\n\ \ \"'_\",\n \":_\",\n \"'\",\n \"ami\",\n \"\ '_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \ \ \"'\",\n \"container\",\n \"\\\\u\",\n \"format\",\n\ \ \"'_\",\n \":_\",\n \"'\",\n \"ami\",\n \"\ '_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \ \ \"'\",\n \"is\",\n \"\\\\u\",\n \"public\",\n \ \ \"'_\",\n \":_\",\n \"False_\",\n \",_\",\n \"\\\ \\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"created\",\n \ \ \"\\\\u\",\n \"at\",\n \"'_\",\n \":_\",\n \"\ datetime_\",\n \"._\",\n \"datetime_\",\n \"._\",\n \ \ \"utcnow_\",\n \"(_\",\n \")_\",\n \",_\",\n \"\ \\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"update\",\n \ \ \"d\\\\u\",\n \"at\",\n \"'_\",\n \":_\",\n \ \ \"datetime_\",\n \"._\",\n \"datetime_\",\n \"._\",\n\ \ \"utcnow_\",\n \"(_\",\n \")_\",\n \",_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"delete\"\ ,\n \"d\\\\u\",\n \"at\",\n \"'_\",\n \":_\",\n \ \ \"None_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\\ u_\",\n \"'\",\n \"delete\",\n \"d\",\n \"'_\",\n\ \ \":_\",\n \"False_\",\n \",_\",\n \"\\\\u\\\\u\\\ \\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"checks\",\n \"um\"\ ,\n \"'_\",\n \":_\",\n \"None_\",\n \",_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"min\"\ ,\n \"\\\\u\",\n \"disk\",\n \"'_\",\n \":_\",\n \ \ \"0_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"'\",\n \"min\",\n \"\\\\u\",\n \"ram\",\n \ \ \"'_\",\n \":_\",\n \"0_\",\n \",_\",\n \"\\\ \\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"size\",\n \ \ \"'_\",\n \":_\",\n \"13_\",\n \",_\",\n \"\\\\\ u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"location\",\n \ \ \"'_\",\n \":_\",\n \"\\\"\",\n \"swift\",\n \ \ \"://\",\n \"user\",\n \":\",\n \"passw\",\n \"\ d\",\n \"@\",\n \"acct\",\n \"/\",\n \"container\"\ ,\n \"/\",\n \"obj\",\n \".\",\n \"tar\",\n \ \ \".0\",\n \"\\\"_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\ \\u\\\\u\\\\u_\",\n \"'\",\n \"proper\",\n \"ties\",\n \ \ \"'_\",\n \":_\",\n \"{_\",\n \"'\",\n \"type\"\ ,\n \"'_\",\n \":_\",\n \"'\",\n \"kernel\",\n \ \ \"'_\",\n \"}_\",\n \"}_\",\n \",_\",\n \"\\\ \\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"{_\",\n \"'\",\n \"\ id\",\n \"'_\",\n \":_\",\n \"UU\",\n \"ID\",\n \ \ \"2_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"'\",\n \"name\",\n \"'_\",\n \":_\",\n \ \ \"'\",\n \"fake\",\n \" \",\n \"image\",\n \"\ \ \",\n \"#\",\n \"2\",\n \"'_\",\n \",_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"status\"\ ,\n \"'_\",\n \":_\",\n \"'\",\n \"active\",\n \ \ \"'_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"'\",\n \"disk\",\n \"\\\\u\",\n \"format\",\n\ \ \"'_\",\n \":_\",\n \"'\",\n \"vhd\",\n \"\ '_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \ \ \"'\",\n \"container\",\n \"\\\\u\",\n \"format\",\n\ \ \"'_\",\n \":_\",\n \"'\",\n \"ov\",\n \"\ f\",\n \"'_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\ \\u_\",\n \"'\",\n \"is\",\n \"\\\\u\",\n \"public\"\ ,\n \"'_\",\n \":_\",\n \"True_\",\n \",_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"created\"\ ,\n \"\\\\u\",\n \"at\",\n \"'_\",\n \":_\",\n \ \ \"datetime_\",\n \"._\",\n \"datetime_\",\n \"._\"\ ,\n \"utcnow_\",\n \"(_\",\n \")_\",\n \",_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"update\"\ ,\n \"d\\\\u\",\n \"at\",\n \"'_\",\n \":_\",\n \ \ \"datetime_\",\n \"._\",\n \"datetime_\",\n \"._\"\ ,\n \"utcnow_\",\n \"(_\",\n \")_\",\n \",_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"delete\"\ ,\n \"d\\\\u\",\n \"at\",\n \"'_\",\n \":_\",\n \ \ \"None_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\\ u_\",\n \"'\",\n \"delete\",\n \"d\",\n \"'_\",\n\ \ \":_\",\n \"False_\",\n \",_\",\n \"\\\\u\\\\u\\\ \\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"checks\",\n \"um\"\ ,\n \"'_\",\n \":_\",\n \"None_\",\n \",_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"min\"\ ,\n \"\\\\u\",\n \"disk\",\n \"'_\",\n \":_\",\n \ \ \"5_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"'\",\n \"min\",\n \"\\\\u\",\n \"ram\",\n \ \ \"'_\",\n \":_\",\n \"256_\",\n \",_\",\n \"\ \\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"size\",\n \ \ \"'_\",\n \":_\",\n \"19_\",\n \",_\",\n \"\\\ \\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"'\",\n \"location\",\n \ \ \"'_\",\n \":_\",\n \"\\\"\",\n \"file\",\n \ \ \":///\",\n \"tmp\",\n \"/\",\n \"gla\",\n \"nce\"\ ,\n \"-\",\n \"tests\",\n \"/\",\n \"2\",\n \ \ \"\\\"_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"'\",\n \"proper\",\n \"ties\",\n \"'_\",\n \ \ \":_\",\n \"{_\",\n \"}_\",\n \"}_\",\n \"\ ]_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\\ u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n\ \ \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\\ uDEDENT\\\\u\\\\u\\\\u_\",\n \"[SEP]_\",\n \"module_\",\n \ \ \"\\\\u\\\\u\\\\uEOS\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\ \\u\\\\u_\",\n \"class_\",\n \"Test\",\n \"Regi\",\n \ \ \"stry\",\n \"Db_\",\n \"(_\",\n \"base_\",\n \ \ \"._\",\n \"Isolat\",\n \"ed\",\n \"Unit\",\n \"\ Test_\",\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\ \\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\\ u\\\\u_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\\ u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\ \\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n\ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\\ uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n\ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\ \\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\\ u\\\\u_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\\ u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\ \\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n\ \ \"[SEP]_\",\n \"class_\",\n \"Test\",\n \"Regi\"\ ,\n \"stry\",\n \"Db_\",\n \"(_\",\n \"base_\",\n\ \ \"._\",\n \"Isolat\",\n \"ed\",\n \"Unit\",\n \ \ \"Test_\",\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\\ uEOS\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \ \ \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" _\",\n \"\ def_\",\n \"set\",\n \"Up_\",\n \"(_\",\n \"self_\"\ ,\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\\ u\\\\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" \ \ _\",\n \"\\\"\\\"\\\"\",\n \"Esta\",\n \"blis\",\n \ \ \"h\",\n \" \",\n \"a\",\n \" \",\n \"clean\"\ ,\n \" \",\n \"test\",\n \" \",\n \"environ\",\n \ \ \"ment\",\n \"\\\"\\\"\\\"_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\ \\u\\\\u\\\\u_\",\n \"super_\",\n \"(_\",\n \"Test\",\n \ \ \"Regi\",\n \"stry\",\n \"Db_\",\n \",_\",\n \ \ \"self_\",\n \")_\",\n \"._\",\n \"set\",\n \"\ Up_\",\n \"(_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\\ u\\\\u\\\\u_\",\n \"conf_\",\n \"=_\",\n \"test\\\\u\",\n\ \ \"utils_\",\n \"._\",\n \"Test\",\n \"Config\",\n\ \ \"Opts_\",\n \"(_\",\n \"CONF_\",\n \")_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"self_\",\n \ \ \"._\",\n \"adm\",\n \"\\\\u\",\n \"context_\",\n \ \ \"=_\",\n \"rcon\",\n \"text_\",\n \"._\",\n \ \ \"Request\",\n \"Context_\",\n \"(_\",\n \"is\",\n \ \ \"\\\\u\",\n \"admin_\",\n \"=_\",\n \"True_\",\n \ \ \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \ \ \"self_\",\n \"._\",\n \"context_\",\n \"=_\",\n \ \ \"rcon\",\n \"text_\",\n \"._\",\n \"Request\",\n \ \ \"Context_\",\n \"(_\",\n \"is\",\n \"\\\\u\",\n \ \ \"admin_\",\n \"=_\",\n \"False_\",\n \")_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"db\",\n \"\ \\\\u\",\n \"api_\",\n \"._\",\n \"configur\",\n \"\ e\\\\u\",\n \"db_\",\n \"(_\",\n \"conf_\",\n \")_\"\ ,\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"self_\",\n \ \ \"._\",\n \"destroy\",\n \"\\\\u\",\n \"fixtures_\"\ ,\n \"(_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\\ u\\\\u_\",\n \"self_\",\n \"._\",\n \"create\",\n \ \ \"\\\\u\",\n \"fixtures_\",\n \"(_\",\n \")_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"[SEP]_\",\n \ \ \"class_\",\n \"Test\",\n \"Regi\",\n \"stry\",\n \ \ \"Db_\",\n \"(_\",\n \"base_\",\n \"._\",\n \"\ Isolat\",\n \"ed\",\n \"Unit\",\n \"Test_\",\n \"\ )_\",\n \":_\",\n \"\\\\u\\\\u\\\\uEOS\\\\u\\\\u\\\\u_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\ \\u\\\\u\\\\u_\",\n \"def_\",\n \"create\",\n \"\\\\u\",\n\ \ \"fixtures_\",\n \"(_\",\n \"self_\",\n \")_\",\n\ \ \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \ \ \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" _\",\n \ \ \"for_\",\n \"fixture_\",\n \"in_\",\n \"FIXTURE\",\n \ \ \"S_\",\n \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" \ \ _\",\n \"db\",\n \"\\\\u\",\n \"api_\",\n \"\ ._\",\n \"image\",\n \"\\\\u\",\n \"create_\",\n \"\ (_\",\n \"self_\",\n \"._\",\n \"adm\",\n \"\\\\u\"\ ,\n \"context_\",\n \",_\",\n \"fixture_\",\n \")_\"\ ,\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"[SEP]_\",\n\ \ \"class_\",\n \"Test\",\n \"Regi\",\n \"stry\",\n\ \ \"Db_\",\n \"(_\",\n \"base_\",\n \"._\",\n \ \ \"Isolat\",\n \"ed\",\n \"Unit\",\n \"Test_\",\n \ \ \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\uEOS\\\\u\\\\u\\\\u_\"\ ,\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \ \ \"def_\",\n \"destroy\",\n \"\\\\u\",\n \"fixtures_\"\ ,\n \"(_\",\n \"self_\",\n \")_\",\n \":_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"#\",\n \"\ \ \",\n \"Eas\",\n \"ies\",\n \"t\",\n \" \",\n \ \ \"to\",\n \" \",\n \"just\",\n \" \",\n \"\ drop\",\n \" \",\n \"the\",\n \" \",\n \"model\",\n\ \ \"s\",\n \" \",\n \"and\",\n \" \",\n \"\ re\",\n \"-\",\n \"create\",\n \" \",\n \"them\",\n\ \ \"..._\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\ \\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" _\",\n \"db\"\ ,\n \"\\\\u\",\n \"models_\",\n \"._\",\n \"unregister\"\ ,\n \"\\\\u\",\n \"models_\",\n \"(_\",\n \"db\",\n\ \ \"\\\\u\",\n \"api_\",\n \"._\",\n \"\\\\u\",\n\ \ \"ENGINE_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\ \\u\\\\u_\",\n \"db\",\n \"\\\\u\",\n \"models_\",\n \ \ \"._\",\n \"register\",\n \"\\\\u\",\n \"models_\",\n\ \ \"(_\",\n \"db\",\n \"\\\\u\",\n \"api_\",\n \ \ \"._\",\n \"\\\\u\",\n \"ENGINE_\",\n \")_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"[SEP]_\",\n \ \ \"class_\",\n \"Test\",\n \"Regi\",\n \"stry\",\n \ \ \"Db_\",\n \"(_\",\n \"base_\",\n \"._\",\n \ \ \"Isolat\",\n \"ed\",\n \"Unit\",\n \"Test_\",\n \ \ \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\uEOS\\\\u\\\\u\\\\u_\",\n\ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\ \\u\\\\u\\\\u_\",\n \"def_\",\n \"test\\\\u\",\n \"image\"\ ,\n \"\\\\u\",\n \"get_\",\n \"(_\",\n \"self_\",\n\ \ \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" \ \ _\",\n \"image_\",\n \"=_\",\n \"db\",\n \"\\\\\ u\",\n \"api_\",\n \"._\",\n \"image\",\n \"\\\\u\"\ ,\n \"get_\",\n \"(_\",\n \"self_\",\n \"._\",\n \ \ \"context_\",\n \",_\",\n \"UU\",\n \"ID\",\n \ \ \"1_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\\ u_\",\n \"self_\",\n \"._\",\n \"assert\",\n \"Equals_\"\ ,\n \"(_\",\n \"image_\",\n \"[_\",\n \"'\",\n \ \ \"id\",\n \"'_\",\n \"]_\",\n \",_\",\n \"FIXTURE\"\ ,\n \"S_\",\n \"[_\",\n \"0_\",\n \"]_\",\n \ \ \"[_\",\n \"'\",\n \"id\",\n \"'_\",\n \"]_\",\n\ \ \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \ \ \"[SEP]_\",\n \"class_\",\n \"Test\",\n \"Regi\",\n \ \ \"stry\",\n \"Db_\",\n \"(_\",\n \"base_\",\n \ \ \"._\",\n \"Isolat\",\n \"ed\",\n \"Unit\",\n \ \ \"Test_\",\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\uEOS\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\ \\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \"def_\",\n \"test\\\\\ u\",\n \"image\",\n \"\\\\u\",\n \"get\",\n \"\\\\\ u\",\n \"disallow\",\n \"\\\\u\",\n \"deleted_\",\n \ \ \"(_\",\n \"self_\",\n \")_\",\n \":_\",\n \"\\\ \\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\\u\\\ \\u\\\\u \",\n \" _\",\n \"db\",\n \"\\\\u\",\n \ \ \"api_\",\n \"._\",\n \"image\",\n \"\\\\u\",\n \ \ \"destroy_\",\n \"(_\",\n \"self_\",\n \"._\",\n \ \ \"adm\",\n \"\\\\u\",\n \"context_\",\n \",_\",\n\ \ \"UU\",\n \"ID\",\n \"1_\",\n \")_\",\n \"\ \\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"self_\",\n \"._\"\ ,\n \"assert\",\n \"Raises_\",\n \"(_\",\n \"exception_\"\ ,\n \"._\",\n \"Not\",\n \"Found_\",\n \",_\",\n \ \ \"db\",\n \"\\\\u\",\n \"api_\",\n \"._\",\n \ \ \"image\",\n \"\\\\u\",\n \"get_\",\n \",_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"self_\",\n \"._\"\ ,\n \"context_\",\n \",_\",\n \"UU\",\n \"ID\",\n\ \ \"1_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"[SEP]_\",\n \"class_\",\n \"Test\",\n \ \ \"Regi\",\n \"stry\",\n \"Db_\",\n \"(_\",\n \"\ base_\",\n \"._\",\n \"Isolat\",\n \"ed\",\n \"Unit\"\ ,\n \"Test_\",\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\ \\uEOS\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \ \ \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \"def_\",\n \ \ \"test\\\\u\",\n \"image\",\n \"\\\\u\",\n \"get\",\n \ \ \"\\\\u\",\n \"allow\",\n \"\\\\u\",\n \"deleted_\"\ ,\n \"(_\",\n \"self_\",\n \")_\",\n \":_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\ \\u\\\\u\\\\u \",\n \" _\",\n \"db\",\n \"\\\\u\",\n\ \ \"api_\",\n \"._\",\n \"image\",\n \"\\\\u\",\n\ \ \"destroy_\",\n \"(_\",\n \"self_\",\n \"._\",\n\ \ \"adm\",\n \"\\\\u\",\n \"context_\",\n \",_\",\n\ \ \"UU\",\n \"ID\",\n \"1_\",\n \")_\",\n \"\ \\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"image_\",\n \"=_\"\ ,\n \"db\",\n \"\\\\u\",\n \"api_\",\n \"._\",\n \ \ \"image\",\n \"\\\\u\",\n \"get_\",\n \"(_\",\n \ \ \"self_\",\n \"._\",\n \"adm\",\n \"\\\\u\",\n \ \ \"context_\",\n \",_\",\n \"UU\",\n \"ID\",\n \ \ \"1_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\\ u_\",\n \"self_\",\n \"._\",\n \"assert\",\n \"Equals_\"\ ,\n \"(_\",\n \"image_\",\n \"[_\",\n \"'\",\n \ \ \"id\",\n \"'_\",\n \"]_\",\n \",_\",\n \"FIXTURE\"\ ,\n \"S_\",\n \"[_\",\n \"0_\",\n \"]_\",\n \ \ \"[_\",\n \"'\",\n \"id\",\n \"'_\",\n \"]_\",\n\ \ \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \ \ \"[SEP]_\",\n \"class_\",\n \"Test\",\n \"Regi\",\n \ \ \"stry\",\n \"Db_\",\n \"(_\",\n \"base_\",\n \ \ \"._\",\n \"Isolat\",\n \"ed\",\n \"Unit\",\n \ \ \"Test_\",\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\uEOS\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\ \\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \"def_\",\n \"test\\\\\ u\",\n \"image\",\n \"\\\\u\",\n \"get\",\n \"\\\\\ u\",\n \"force\",\n \"\\\\u\",\n \"allow\",\n \"\\\ \\u\",\n \"deleted_\",\n \"(_\",\n \"self_\",\n \"\ )_\",\n \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n\ \ \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" _\",\n \ \ \"db\",\n \"\\\\u\",\n \"api_\",\n \"._\",\n \ \ \"image\",\n \"\\\\u\",\n \"destroy_\",\n \"(_\",\n\ \ \"self_\",\n \"._\",\n \"adm\",\n \"\\\\u\",\n \ \ \"context_\",\n \",_\",\n \"UU\",\n \"ID\",\n \ \ \"1_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\\ u_\",\n \"image_\",\n \"=_\",\n \"db\",\n \"\\\\u\"\ ,\n \"api_\",\n \"._\",\n \"image\",\n \"\\\\u\",\n\ \ \"get_\",\n \"(_\",\n \"self_\",\n \"._\",\n \ \ \"context_\",\n \",_\",\n \"UU\",\n \"ID\",\n \ \ \"1_\",\n \",_\",\n \"force\",\n \"\\\\u\",\n \ \ \"show\",\n \"\\\\u\",\n \"deleted_\",\n \"=_\",\n \ \ \"True_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"self_\",\n \"._\",\n \"assert\",\n \"\ Equals_\",\n \"(_\",\n \"image_\",\n \"[_\",\n \"\ '\",\n \"id\",\n \"'_\",\n \"]_\",\n \",_\",\n \ \ \"FIXTURE\",\n \"S_\",\n \"[_\",\n \"0_\",\n \ \ \"]_\",\n \"[_\",\n \"'\",\n \"id\",\n \"'_\",\n\ \ \"]_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"[SEP]_\",\n \"class_\",\n \"Test\",\n \ \ \"Regi\",\n \"stry\",\n \"Db_\",\n \"(_\",\n \"\ base_\",\n \"._\",\n \"Isolat\",\n \"ed\",\n \"Unit\"\ ,\n \"Test_\",\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\ \\uEOS\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \ \ \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \"def_\",\n \ \ \"test\\\\u\",\n \"image\",\n \"\\\\u\",\n \"get\",\n \ \ \"\\\\u\",\n \"all_\",\n \"(_\",\n \"self_\",\n \ \ \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" \ \ _\",\n \"images_\",\n \"=_\",\n \"db\",\n \"\\\\\ u\",\n \"api_\",\n \"._\",\n \"image\",\n \"\\\\u\"\ ,\n \"get\",\n \"\\\\u\",\n \"all_\",\n \"(_\",\n\ \ \"self_\",\n \"._\",\n \"context_\",\n \")_\",\n\ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"self_\",\n \ \ \"._\",\n \"assert\",\n \"Equals_\",\n \"(_\",\n \ \ \"len_\",\n \"(_\",\n \"images_\",\n \")_\",\n \ \ \",_\",\n \"2_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\ \\u\\\\u\\\\u_\",\n \"[SEP]_\",\n \"class_\",\n \"Test\"\ ,\n \"Regi\",\n \"stry\",\n \"Db_\",\n \"(_\",\n \ \ \"base_\",\n \"._\",\n \"Isolat\",\n \"ed\",\n \ \ \"Unit\",\n \"Test_\",\n \")_\",\n \":_\",\n \ \ \"\\\\u\\\\u\\\\uEOS\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\ \\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \"def_\"\ ,\n \"test\\\\u\",\n \"image\",\n \"\\\\u\",\n \"\ get\",\n \"\\\\u\",\n \"all\",\n \"\\\\u\",\n \"marker_\"\ ,\n \"(_\",\n \"self_\",\n \")_\",\n \":_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\ \\u\\\\u\\\\u \",\n \" _\",\n \"images_\",\n \"=_\"\ ,\n \"db\",\n \"\\\\u\",\n \"api_\",\n \"._\",\n \ \ \"image\",\n \"\\\\u\",\n \"get\",\n \"\\\\u\",\n\ \ \"all_\",\n \"(_\",\n \"self_\",\n \"._\",\n \ \ \"context_\",\n \",_\",\n \"marker_\",\n \"=_\",\n\ \ \"UU\",\n \"ID\",\n \"2_\",\n \")_\",\n \"\ \\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"self_\",\n \"._\"\ ,\n \"assert\",\n \"Equals_\",\n \"(_\",\n \"len_\"\ ,\n \"(_\",\n \"images_\",\n \")_\",\n \",_\",\n \ \ \"1_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"[SEP]_\",\n \"class_\",\n \"Test\",\n \ \ \"Regi\",\n \"stry\",\n \"Db_\",\n \"(_\",\n \"\ base_\",\n \"._\",\n \"Isolat\",\n \"ed\",\n \"Unit\"\ ,\n \"Test_\",\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\ \\uEOS\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \ \ \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \"def_\",\n \ \ \"test\\\\u\",\n \"image\",\n \"\\\\u\",\n \"get\",\n \ \ \"\\\\u\",\n \"all\",\n \"\\\\u\",\n \"marker\",\n\ \ \"\\\\u\",\n \"deleted_\",\n \"(_\",\n \"self_\"\ ,\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\\ u\\\\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" \ \ _\",\n \"\\\"\\\"\\\"\",\n \"Cann\",\n \"ot\",\n \ \ \" \",\n \"speci\",\n \"fy\",\n \" \",\n \"\ a\",\n \" \",\n \"delete\",\n \"d\",\n \" \",\n \ \ \"image\",\n \" \",\n \"as\",\n \" \",\n \"\ a\",\n \" \",\n \"marker\",\n \".\\\"\\\"\\\"_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"db\",\n \"\\\ \\u\",\n \"api_\",\n \"._\",\n \"image\",\n \"\\\\\ u\",\n \"destroy_\",\n \"(_\",\n \"self_\",\n \"._\"\ ,\n \"adm\",\n \"\\\\u\",\n \"context_\",\n \",_\"\ ,\n \"UU\",\n \"ID\",\n \"1_\",\n \")_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"filters_\",\n \ \ \"=_\",\n \"{_\",\n \"'\",\n \"delete\",\n \"d\"\ ,\n \"'_\",\n \":_\",\n \"False_\",\n \"}_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"self_\",\n \ \ \"._\",\n \"assert\",\n \"Raises_\",\n \"(_\",\n \ \ \"exception_\",\n \"._\",\n \"Not\",\n \"Found_\",\n\ \ \",_\",\n \"db\",\n \"\\\\u\",\n \"api_\",\n \ \ \"._\",\n \"image\",\n \"\\\\u\",\n \"get\",\n \ \ \"\\\\u\",\n \"all_\",\n \",_\",\n \"\\\\u\\\\u\\\\\ uNL\\\\u\\\\u\\\\u_\",\n \"self_\",\n \"._\",\n \"context_\"\ ,\n \",_\",\n \"marker_\",\n \"=_\",\n \"UU\",\n \ \ \"ID\",\n \"1_\",\n \",_\",\n \"filters_\",\n \ \ \"=_\",\n \"filters_\",\n \")_\",\n \"\\\\u\\\\u\\\\\ uNEWLINE\\\\u\\\\u\\\\u_\",\n \"[SEP]_\",\n \"class_\",\n \ \ \"Test\",\n \"Regi\",\n \"stry\",\n \"Db_\",\n \ \ \"(_\",\n \"base_\",\n \"._\",\n \"Isolat\",\n \"\ ed\",\n \"Unit\",\n \"Test_\",\n \")_\",\n \":_\"\ ,\n \"\\\\u\\\\u\\\\uEOS\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \ \ \"def_\",\n \"test\\\\u\",\n \"image\",\n \"\\\\u\",\n\ \ \"get\",\n \"\\\\u\",\n \"all\",\n \"\\\\u\",\n\ \ \"marker\",\n \"\\\\u\",\n \"delete\",\n \"d\\\\\ u\",\n \"showin\",\n \"g\",\n \"\\\\u\",\n \"delete\"\ ,\n \"d\\\\u\",\n \"as\",\n \"\\\\u\",\n \"admin_\"\ ,\n \"(_\",\n \"self_\",\n \")_\",\n \":_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\ \\u\\\\u\\\\u \",\n \" _\",\n \"\\\"\\\"\\\"\",\n \"\ Speci\",\n \"fy\",\n \" \",\n \"a\",\n \" \",\n \ \ \"delete\",\n \"d\",\n \" \",\n \"image\",\n \ \ \" \",\n \"as\",\n \" \",\n \"a\",\n \" \",\n\ \ \"marker\",\n \" \",\n \"if\",\n \" \",\n \ \ \"showin\",\n \"g\",\n \" \",\n \"delete\",\n \"\ d\",\n \" \",\n \"images\",\n \".\\\"\\\"\\\"_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"db\",\n \"\\\ \\u\",\n \"api_\",\n \"._\",\n \"image\",\n \"\\\\\ u\",\n \"destroy_\",\n \"(_\",\n \"self_\",\n \"._\"\ ,\n \"adm\",\n \"\\\\u\",\n \"context_\",\n \",_\"\ ,\n \"UU\",\n \"ID\",\n \"1_\",\n \")_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"images_\",\n \ \ \"=_\",\n \"db\",\n \"\\\\u\",\n \"api_\",\n \"\ ._\",\n \"image\",\n \"\\\\u\",\n \"get\",\n \"\\\\\ u\",\n \"all_\",\n \"(_\",\n \"self_\",\n \"._\",\n\ \ \"adm\",\n \"\\\\u\",\n \"context_\",\n \",_\",\n\ \ \"marker_\",\n \"=_\",\n \"UU\",\n \"ID\",\n \ \ \"1_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\\ u_\",\n \"self_\",\n \"._\",\n \"assert\",\n \"Equals_\"\ ,\n \"(_\",\n \"len_\",\n \"(_\",\n \"images_\",\n\ \ \")_\",\n \",_\",\n \"0_\",\n \")_\",\n \"\ \\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"[SEP]_\",\n \"class_\"\ ,\n \"Test\",\n \"Regi\",\n \"stry\",\n \"Db_\",\n\ \ \"(_\",\n \"base_\",\n \"._\",\n \"Isolat\",\n \ \ \"ed\",\n \"Unit\",\n \"Test_\",\n \")_\",\n \ \ \":_\",\n \"\\\\u\\\\u\\\\uEOS\\\\u\\\\u\\\\u_\",\n \"\\\\\ u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\\ u_\",\n \"def_\",\n \"test\\\\u\",\n \"image\",\n \ \ \"\\\\u\",\n \"get\",\n \"\\\\u\",\n \"all\",\n \ \ \"\\\\u\",\n \"marker\",\n \"\\\\u\",\n \"delete\",\n \ \ \"d\\\\u\",\n \"showin\",\n \"g\",\n \"\\\\u\",\n\ \ \"deleted_\",\n \"(_\",\n \"self_\",\n \")_\",\n\ \ \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \ \ \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \" _\",\n \ \ \"\\\"\\\"\\\"\",\n \"Speci\",\n \"fy\",\n \" \",\n \ \ \"a\",\n \" \",\n \"delete\",\n \"d\",\n \"\ \ \",\n \"image\",\n \" \",\n \"as\",\n \" \",\n \ \ \"a\",\n \" \",\n \"marker\",\n \" \",\n \"\ if\",\n \" \",\n \"showin\",\n \"g\",\n \" \",\n \ \ \"delete\",\n \"d\",\n \" \",\n \"images\",\n \ \ \".\\\"\\\"\\\"_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\"\ ,\n \"db\",\n \"\\\\u\",\n \"api_\",\n \"._\",\n \ \ \"image\",\n \"\\\\u\",\n \"destroy_\",\n \"(_\"\ ,\n \"self_\",\n \"._\",\n \"adm\",\n \"\\\\u\",\n\ \ \"context_\",\n \",_\",\n \"UU\",\n \"ID\",\n \ \ \"1_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\\ u_\",\n \"filters_\",\n \"=_\",\n \"{_\",\n \"'\"\ ,\n \"delete\",\n \"d\",\n \"'_\",\n \":_\",\n \ \ \"True_\",\n \"}_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\ \\u_\",\n \"images_\",\n \"=_\",\n \"db\",\n \"\\\\\ u\",\n \"api_\",\n \"._\",\n \"image\",\n \"\\\\u\"\ ,\n \"get\",\n \"\\\\u\",\n \"all_\",\n \"(_\",\n\ \ \"self_\",\n \"._\",\n \"context_\",\n \",_\",\n\ \ \"marker_\",\n \"=_\",\n \"UU\",\n \"ID\",\n \ \ \"1_\",\n \",_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"filters_\",\n \"=_\",\n \"filters_\",\n \")_\"\ ,\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"self_\",\n \ \ \"._\",\n \"assert\",\n \"Equals_\",\n \"(_\",\n\ \ \"len_\",\n \"(_\",\n \"images_\",\n \")_\",\n \ \ \",_\",\n \"0_\",\n \")_\"\n ],\n \"label_sequence\"\ : [\n 4,\n 4,\n 4,\n 4,\n 4,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 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2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2\n\ \ ]\n },\n \"truncated_cells\": []\n },\n {\n \"row_idx\": 1,\n\ \ \"row\": {\n \"query_name\": \"Unused local variable\",\n \"code_file_path\"\ : \"n9code/pylease/tests/test_ctxmgmt.py\",\n \"context_blocks\": [\n \ \ {\n \"content\": \" def test_caution_context_manager_must_rollback_everything_if_error_occurs(self):\\\ n rb1 = MagicMock()\\n rb2 = MagicMock()\\n rb3 = MagicMock()\\\ n\\n with Caution() as caution:\\n caution.add_rollback(rb1)\\\ n caution.add_rollback(rb2)\\n\\n raise Exception()\\n\\\ n rb1.assert_called_once_with()\\n rb2.assert_called_once_with()\\\ n ok_(not rb3.called)\",\n \"metadata\": \"root.ContextManagersTest.test_caution_context_manager_must_rollback_everything_if_error_occurs\"\ ,\n \"header\": \"['class', 'ContextManagersTest', '(', 'PyleaseTest',\ \ ')', ':', '___EOS___']\",\n \"index\": 30\n }\n ],\n \ \ \"answer_spans\": [\n {\n \"span\": \"rb3 \",\n \ \ \"start_line\": 33,\n \"start_column\": 8,\n \"end_line\"\ : 33,\n \"end_column\": 11\n }\n ],\n \"supporting_fact_spans\"\ : [],\n \"example_type\": 1,\n \"single_hop\": true,\n \"subtokenized_input_sequence\"\ : [\n \"[CLS]_\",\n \"Un\",\n \"used_\",\n \"local_\"\ ,\n \"variable_\",\n \"[SEP]_\",\n \"class_\",\n \"\ Context\",\n \"Manager\",\n \"s\",\n \"Test_\",\n \ \ \"(_\",\n \"Py\",\n \"lease\",\n \"Test_\",\n \"\ )_\",\n \":_\",\n \"\\\\u\\\\u\\\\uEOS\\\\u\\\\u\\\\u_\",\n \ \ \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n \ \ \"def_\",\n \"test\\\\u\",\n \"cau\",\n \"tion\",\n \ \ \"\\\\u\",\n \"context\",\n \"\\\\u\",\n \"manage\"\ ,\n \"r\",\n \"\\\\u\",\n \"must\",\n \"\\\\u\",\n\ \ \"rollback\",\n \"\\\\u\",\n \"every\",\n \"thing\"\ ,\n \"\\\\u\",\n \"if\",\n \"\\\\u\",\n \"error\"\ ,\n \"\\\\u\",\n \"occur\",\n \"s_\",\n \"(_\",\n\ \ \"self_\",\n \")_\",\n \":_\",\n \"\\\\u\\\\u\\\\\ uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \"\ ,\n \" _\",\n \"rb\",\n \"1_\",\n \"=_\",\n\ \ \"Mag\",\n \"ic\",\n \"Mock_\",\n \"(_\",\n \ \ \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\ rb\",\n \"2_\",\n \"=_\",\n \"Mag\",\n \"ic\",\n \ \ \"Mock_\",\n \"(_\",\n \")_\",\n \"\\\\u\\\\u\\\\\ uNEWLINE\\\\u\\\\u\\\\u_\",\n \"rb\",\n \"3_\",\n \"=_\"\ ,\n \"Mag\",\n \"ic\",\n \"Mock_\",\n \"(_\",\n \ \ \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\ \\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\",\n \"with_\",\n \"Cau\",\n \ \ \"tion_\",\n \"(_\",\n \")_\",\n \"as_\",\n \ \ \"cau\",\n \"tion_\",\n \":_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\ \\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uINDENT\\\\u\\\\u\\\\u \",\n \ \ \" _\",\n \"cau\",\n \"tion_\",\n \"._\",\n\ \ \"add\",\n \"\\\\u\",\n \"rollback_\",\n \"(_\"\ ,\n \"rb\",\n \"1_\",\n \")_\",\n \"\\\\u\\\\u\\\\\ uNEWLINE\\\\u\\\\u\\\\u_\",\n \"cau\",\n \"tion_\",\n \"\ ._\",\n \"add\",\n \"\\\\u\",\n \"rollback_\",\n \"\ (_\",\n \"rb\",\n \"2_\",\n \")_\",\n \"\\\\u\\\\\ u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uNL\\\\u\\\\u\\\\u_\"\ ,\n \"raise_\",\n \"Exception_\",\n \"(_\",\n \")_\"\ ,\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\ \\uNL\\\\u\\\\u\\\\u_\",\n \"\\\\u\\\\u\\\\uDEDENT\\\\u\\\\u\\\\u_\",\n\ \ \"rb\",\n \"1_\",\n \"._\",\n \"assert\",\n \ \ \"\\\\u\",\n \"call\",\n \"ed\",\n \"\\\\u\",\n \ \ \"onc\",\n \"e\\\\u\",\n \"with_\",\n \"(_\",\n \ \ \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"\ rb\",\n \"2_\",\n \"._\",\n \"assert\",\n \"\\\\u\"\ ,\n \"call\",\n \"ed\",\n \"\\\\u\",\n \"onc\",\n\ \ \"e\\\\u\",\n \"with_\",\n \"(_\",\n \")_\",\n \ \ \"\\\\u\\\\u\\\\uNEWLINE\\\\u\\\\u\\\\u_\",\n \"ok\\\\u_\",\n \ \ \"(_\",\n \"not_\",\n \"rb\",\n \"3_\",\n \ \ \"._\",\n \"called_\",\n \")_\",\n \"\\\\u\\\\u\\\\uNEWLINE\\\ \\u\\\\u\\\\u_\"\n ],\n \"label_sequence\": [\n 4,\n 4,\n\ \ 4,\n 4,\n 4,\n 4,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 0,\n 1,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n\ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n \ \ 2,\n 2,\n 2,\n 2,\n 2,\n 2,\n 2\n\ \ ]\n },\n \"truncated_cells\": []\n }\n]" - source_sentence: conversational ai podcast transcripts sentences: - "DATASET_NAME: \"64bits/lex_fridman_podcast_for_llm_vicuna\"\nFEATURES: {'conversations':\ \ [{'from': {'dtype': 'string', '_type': 'Value'}, 'value': {'dtype': 'string',\ \ '_type': 'Value'}}], 'id': {'dtype': 'string', '_type': 'Value'}}\nDATA SAMPLE:\n\ [\n {\n \"row_idx\": 0,\n \"row\": {\n \"conversations\": [\n \ \ {\n \"from\": \"human\",\n \"value\": \"But the point is\ \ they're all beautiful in their own little way and on all of them, especially\ \ if BN works. It's wonderful and it works fast. Simple thing, done right. Go\ \ to expressvpn.com slash lexpod for an extra three months free. This is the Lex\ \ Friedman podcast. Disappointed, please check out our sponsors in the description.\ \ And now, dear friends, here's Bert Kreischer. I read somewhere that you like\ \ Ernest Hemingway. Love him. There's a quote, there's nothing too writing. All\ \ you do is sit down at a typewriter and bleed. Do you agree with that?\"\n \ \ },\n {\n \"from\": \"gpt\",\n \"value\": \"I agree.\ \ I agree. Well, I agree with that with journaling. I can't write stand up. I\ \ can't write a bit, but if I journal, I'll find something that I go just write.\ \ kind of writing where you're the pens moving faster than your brain and they're\ \ kind of like doing it together. The thing I liked about Ernest Hemingway, this\ \ is so stupid. I'm a little dyslexic and so I'm not a good reader. And so he\ \ wrote very simply and it wasn't until after I read a bunch of Ernest Hemingway,\ \ I was working in parts of Noble and this person said, don't you love his titles?\ \ And I was like, yeah, Sun Also Rises. And they're like, yeah, but And the sun\ \ also rises. And I was like, yeah, sun also rises. And they're like, no, no,\ \ the sun also rises. And I went, oh, oh, yeah, that is fucking badass. Yeah.\ \ And then I'm like always late to the party with anything. And then that night\ \ we were all doing coke. And it was like five in the morning and we ended up\ \ on the roof of my apartment in Greenwich Village. And it's Like I'm a sunset\ \ guy, I grew up in Florida, but sunrises in New York are electric blue, like\ \ electric blue. And I was like, the sun also rises.\"\n },\n {\n\ \ \"from\": \"human\",\n \"value\": \"Yeah, he was so good with\ \ just a handful of words, the simplicity, the choice of words. Like basically\ \ his process is carving down.\"\n },\n {\n \"from\": \"\ gpt\",\n \"value\": \"Right, drunk, edit sober.\"\n },\n \ \ {\n \"from\": \"human\",\n \"value\": \"Right, drunk, edit\ \ sober.\"\n },\n {\n \"from\": \"gpt\",\n \"\ value\": \"Yeah, but he was good at like, A small amount of words to get a point\ \ across. I'm the exact fucking opposite.\"\n },\n {\n \ \ \"from\": \"human\",\n \"value\": \"Well, he's also said the first\ \ draft of anything is always shit. Is that is that true for you?\"\n },\n\ \ {\n \"from\": \"gpt\",\n \"value\": \"I think so. It's\ \ the best one I have.\"\n },\n {\n \"from\": \"human\"\ ,\n \"value\": \"Because Donald Hill from there. So for you, editing\ \ is destroying the original.\"\n },\n {\n \"from\": \"\ gpt\",\n \"value\": \"The first time I tell it, it's perfect. It's perfect\ \ it just it works and then i go great and then i take it and i try to fix it\ \ and make it better and jazzy i just joking razzle dazzle about my daughters\ \ and i drive and pass the deaf child sign. And i just told it on stage it just\ \ happened and louis was in the audience. He was, I love that joke. I said, really?\ \ He was, yeah, and I just told it and I went, done. Louis C. K. says he likes\ \ a joke. It's fucking, it's in the special. And I tried to fucking razzle, dazzle\ \ that joke into like a 15 minute bit. It got to the point where it was so, it\ \ was so bad that I told him, I did a podcast with him. I said, what did you like\ \ about that joke? Cause I can't get it to work anymore. Because it was just simple.\ \ It was simple that your daughter didn't know how they'd figure out where deaf\ \ kids lived. I went, that's it? He was like, yeah, I was like, nothing about\ \ gun control. And he was like, huh? I was like, oh, fuck, man. I really fucked\ \ that joke up. And then I had to, I had to go back to the beginning of it, but\ \ that first time that's when, that's when the joke comes out, purest for me.\ \ And then it's always chasing back to get that, get that first telling. Some\ \ jokes are different. Like the machine obviously was a much longer story and\ \ like, and like escape room for this one. The longer stories take a little work,\ \ but the, the simple ones, like, like the deaf child and pajamas and those first\ \ times are perfect.\"\n },\n {\n \"from\": \"human\",\n\ \ \"value\": \"What do you think is is it about the machine story that\ \ works that was so captivating for people?\"\n },\n {\n \ \ \"from\": \"gpt\",\n \"value\": \"I think it's a I think I don't\ \ know. I really wish I don't know. I think it's a good story. It's a good story.\ \ I think everyone has something similar that happened in their life where they\ \ had a crazy night and that no one believed and they told their friends and their\ \ friend or they experienced that with a friend like that and And I think, I think\ \ that's gotta be it. I really don't know. I think there's a part of, I think\ \ there's a part of the, like our community of comedy fans that were that early\ \ Desquad that was fun to watch someone take something from the podcast and turn\ \ it into a bit on stage. I think there was a lot of that, but I think people\ \ identify with a wild, crazy night that got out of control that they've probably\ \ had too. I think I don't fucking know.\"\n },\n {\n \"\ from\": \"human\",\n \"value\": \"Do you think Putin knows who you are\ \ because of that story?\"\n },\n {\n \"from\": \"gpt\"\ ,\n \"value\": \"I hope so. I fucking hope so. I hope so. But there's\ \ a part of me that you gotta understand is like, I'm not... I say stuff like\ \ that. I'm sure there's someone hears that and they go, who is this fucking narcissist?\ \ You're like, no, that's not it. I'm just telling you the truth. Like I understand\ \ what I'm supposed to say. Well, you know, I don't know. I don't know. That's\ \ hard to say, but I don't give a shit about that guy. I'm not that guy. I'm telling\ \ you everything that comes out of my mouth. The second it comes out, I'm going\ \ to be 100% honest. I don't know any other way to live. I kind of hope so. That\ \ would be fucking cool. And I look, I know he's a bad, I guess he's a bad dude.\ \ I don't follow politics done, but it'd be cool if like one day someone's like,\ \ uh, he's, he's on his computer and some guy goes, and he's like, and he's like,\ \ and he's like, and he shows it to him. And, and then he's like, I'm fucking\ \ this guy, huh?\"\n }\n ],\n \"id\": \"382-bert-kreischer-comedy-drinking-rogan-segura-churchill-0\"\ \n },\n \"truncated_cells\": []\n },\n {\n \"row_idx\": 1,\n \"\ row\": {\n \"conversations\": [\n {\n \"from\": \"human\"\ ,\n \"value\": \"It's not out of the realm of possibility that Putin\ \ has watched it. And this podcast, this has kind of made me realize how small\ \ the world is.\"\n },\n {\n \"from\": \"gpt\",\n \ \ \"value\": \"I've gotten to meet some incredibly, like, interesting people.\ \ Like that's, I mean, that's the thing where I go. It's gotten really crazy.\ \ The internet's really insane and Netflix is really insane and the reach of like\ \ people that like this is really simple, but like I'm a big fan of the show Drink\ \ Champs. I didn't think in a million years Nori would ever know who I was. And\ \ then he offered me to come to his podcast and then when I got there, he told\ \ me he was a fan of mine and I went like, I remember moving to New York, listening\ \ to you and Capone like I'm sitting there going, wow. Again and then and the\ \ phone calls I've gotten since the movie came out and since razzle dazzle came\ \ out have been really insane when you realize. As much as I know about people\ \ and I like there's people I'm fans of that don't know who I am that like that\ \ are like, they're like some pitcher in fucking Florida that I follow the kids.\ \ I like I just fun to watch and pitch. There was a softball player in Tempe that\ \ she's do catching drills and I was really into softball with my daughter and\ \ we watch her catching girls. There's a girl deglazer who me and my daughters\ \ will watch her dance videos and then I hit her up. She's like, you know who\ \ I am. And you're like, oh, yeah, that's the way the world works.\"\n \ \ },\n {\n \"from\": \"human\",\n \"value\": \"What world\ \ leader would you drink with if you could see much in Putin? So Putin doesn't\ \ drink much. Yeah, Zelensky drinks more. Yeah, also not much.\"\n },\n\ \ {\n \"from\": \"gpt\",\n \"value\": \"Of course. He\ \ also would have been a good man. He would have been a fucking good one. I mean\ \ like I go Hitler was a pussy like he drank wine with it with a cut with a spoonful\ \ of sugar in it. You don't drink. What's Churchill? That's my hole and that's\ \ my guy. Yeah, you know, that's my guy, right? No, I don't know that's your guy.\"\ \n },\n {\n \"from\": \"human\",\n \"value\":\ \ \"So he, uh, he did champagne.\"\n },\n {\n \"from\"\ : \"gpt\",\n \"value\": \"Well, you don't have to tell me a thing about\ \ Winston Churchill. He, I found out about his daily routine. Yeah. So his daily\ \ routine was a big breakfast, cigar, coffee, eggs over eggs, sunny side up, toast,\ \ bacon, sausage, tomato, beans, uh, fruit, orange juice, soft scotch, cigar in\ \ bed. And he'd sit there for three hours. He'd hold morning breakfast and that's\ \ they'd come in and he'd run through his day and then he'd get in the bathtub\ \ for fucking an hour and drink champagne And then he'd go to lunch and have some\ \ goose or whatever the fuck day back then with more champagne and then And then\ \ he'd take a nap, and like, I love that. So every year on the day of his death,\ \ and he's January 24th, I celebrate Winston Churchill's life by living the way\ \ he did. And so I have breakfast in bed with a soft scotch, and I just party\ \ all fucking day. That would be the guy to drink with. That would be the guy\ \ if you could pick anyone to drink with.\"\n },\n {\n \ \ \"from\": \"human\",\n \"value\": \"He drank every day throughout the\ \ day.\"\n },\n {\n \"from\": \"gpt\",\n \"value\"\ : \"He lived like 94.\"\n },\n {\n \"from\": \"human\"\ ,\n \"value\": \"And was one of the most heroic figures in human history.\ \ Never, never surrender.\"\n },\n {\n \"from\": \"gpt\"\ ,\n \"value\": \"I mean, what a fucking badass thing. You know, he taught,\ \ he taught the queen. The queen was like, uh, like, uh, like a window licking\ \ idiot, right? Like she was, she had a third grade education. So like her dad\ \ dies and she's like 10 or 12 or whatever. The first thing they do is they pull\ \ her out of school. They're like, you've done learning. You're just going to\ \ be the queen. You gotta know, this is what you need to learn. Don't make, let\ \ people make eye contact with you. Put your hand out like this. Don't let people\ \ touch you. So she like, she had like a really, I saw the, by the way, I didn't\ \ do this research. I just watched the crown, okay? And Winston Churchill kind\ \ of taught her about world politics and was like, they like coming and she'd\ \ be like, Winston what did we do in Africa? He's like this is gonna be a tough\ \ one and so yeah, so but Winston Churchill's the badass But if I had a drink\ \ with someone living like drink there's like there's a too obvious one like obviously\ \ it's fucking Kim Jong-un right you kind of want to he drinks no he does You\ \ think my IVs are good in the morning, you know Kim Jong-un's IVs are next you're\ \ like I feel up and he's like it's infatamine He would be a badass to drink with.\"\ \n },\n {\n \"from\": \"human\",\n \"value\":\ \ \"I think he drinks hard liquor.\"\n },\n {\n \"from\"\ : \"gpt\",\n \"value\": \"Uh, I think Scott Johnny Walker blue. 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'Value'}}\nDATA SAMPLE:\n[\n {\n \"row_idx\": 0,\n \"row\":\ \ {\n \"output\": \"Tony Robbins describes six core human needs that drive\ \ our behaviors and motivations. These six needs are:\\n\\n1. Certainty: The need\ \ for safety, stability, and predictability. This includes the need for comfort,\ \ security, and control over our environment.\\n2. Variety: The need for novelty,\ \ excitement, and change. This includes the need for adventure, stimulation, and\ \ new experiences.\\n3. Significance: The need to feel important, special, and\ \ unique. This includes the need for recognition, achievement, and respect.\\\ n4. Connection: The need for social connection and love. This includes the need\ \ for intimacy, belonging, and friendship.\\n5. Growth: The need for personal\ \ growth and development. This includes the need for learning, self-improvement,\ \ and progress.\\n6. Contribution: The need to make a positive impact in the world.\ \ This includes the need to give back, help others, and make a difference.\\n\\\ nAccording to Tony Robbins, these six needs are universal and apply to all individuals.\ \ Each person may prioritize these needs differently, and may fulfill them in\ \ different ways, but they are fundamental drivers of human behavior. By understanding\ \ these needs, individuals can gain insight into their own motivations and behaviors,\ \ and can use this knowledge to create a more fulfilling and meaningful life.\"\ ,\n \"id\": null,\n \"input\": \"human: Summarize the main ideas of\ \ Jeff Walker's Product Launch Formula into bullet points as it pertains to a\ \ growth marketing agency implementing these strategies and tactics for their\ \ clients...\\nAI: +Here are the main ideas of Jeff Walker's Product Launch Formula\ \ that can be applied by a growth marketing agency for their clients:\\n\\n1.\ \ Identify the target audience and their needs: Understand the ideal customer\ \ for the product or service, and create a messaging that resonates with them.\\\ n2. Pre-launch: Build anticipation and excitement for the launch by creating buzz,\ \ gathering testimonials and case studies, and using social media to create awareness.\\\ n3. Launch: Use a well-crafted launch sequence to maximize sales and conversions.\ \ This can include offering bonuses, creating scarcity, and using a deadline to\ \ create urgency.\\n4. Post-launch: Follow up with customers, gather feedback,\ \ and continue to provide value to keep them engaged and loyal.\\n5. Create a\ \ product suite: Once the initial product is successful, expand the offering by\ \ creating additional products or services that address other needs of the same\ \ audience.\\n6. Continual optimization: Continually monitor and optimize the\ \ launch process and product suite to improve results.\\n7. Build a community:\ \ Use the launch process to build a community of customers who are passionate\ \ about the product and can help spread the word.\\n8. Use automation: Use technology\ \ and automation to streamline the launch process and improve efficiency.\\nhuman:\ \ Summarize the main ideas of Brendon Burchard's Experts Academy into bullet points\ \ as it pertains to a growth marketing agency implementing these strategies and\ \ tactics for their clients...\\nAI: +Here are the main ideas of Brendon Burchard's\ \ Experts Academy that can be applied by a growth marketing agency for their clients:\\\ n\\n1. Identify your expertise: Define your area of expertise and create a unique\ \ value proposition that differentiates you from others.\\n2. Create a content\ \ strategy: Develop a content strategy that showcases your expertise and provides\ \ value to your audience. This can include blog posts, videos, podcasts, and social\ \ media content.\\n3. Build your audience: Use social media, advertising, and\ \ other channels to build your audience and increase your visibility.\\n4. Develop\ \ your products: Create products and services that align with your expertise and\ \ meet the needs of your audience. These can include digital products, courses,\ \ coaching, and consulting services.\\n5. Create a brand: Develop a strong brand\ \ that reflects your expertise and resonates with your audience.\\n6. Build authority:\ \ Establish yourself as an authority in your industry by speaking at events, publishing\ \ a book, or appearing on podcasts or TV shows.\\n7. Monetize your expertise:\ \ Develop a monetization strategy that leverages your expertise and products to\ \ generate revenue.\\n8. Build a team: As your business grows, build a team of\ \ experts to help you scale your business and provide excellent service to your\ \ clients.\\n9. Continual improvement: Continually improve your products, services,\ \ and marketing strategies to stay ahead of the competition and provide the best\ \ possible experience for your clients.\\n10. Focus on impact: Ultimately, focus\ \ on making a positive impact in the lives of your clients and using your expertise\ \ to make a difference in the world.\\nhuman: What are the mental triggers in\ \ Jeff Walker's Product Launch Formula and \\\"Launch\\\" book?\\nAI: +Here are\ \ the mental triggers described in Jeff Walker's Product Launch Formula and \\\ \"Launch\\\" book:\\n\\n1. Scarcity: Creating a sense of urgency by limiting the\ \ availability of the product or service being launched.\\n2. Authority: Establishing\ \ oneself as an expert or authority in the industry to build credibility and trust\ \ with the audience.\\n3. Social proof: Using testimonials, case studies, and\ \ other forms of social proof to demonstrate the effectiveness and value of the\ \ product or service.\\n4. Reciprocity: Offering something of value to the audience\ \ before asking for a sale or commitment.\\n5. Likeability: Building a personal\ \ connection with the audience and creating a likable persona to increase the\ \ chances of a sale.\\n6. Anticipation: Building anticipation and excitement leading\ \ up to the launch to generate buzz and increase interest in the product or service.\\\ n7. Exclusivity: Creating a feeling of exclusivity by offering early access or\ \ special deals to a select group of people.\\n8. Belonging: Creating a sense\ \ of community or belonging among the audience to increase engagement and loyalty\ \ to the brand.\\n9. Storytelling: Using storytelling to connect with the audience\ \ on an emotional level and make the product or service more relatable and memorable.\\\ n\\nBy leveraging these mental triggers, businesses can create an effective product\ \ launch strategy that resonates with their target audience and drives sales and\ \ growth.\\nhuman: Write a summary of why scarcity and urgency are the strongest\ \ mental triggers and have been the driving force behind many of our best performing\ \ campaigns over the last 8 years.\\nAI: +Scarcity and urgency are two of the\ \ strongest mental triggers in marketing because they create a sense of exclusivity\ \ and importance around a product or service. By creating a sense of limited availability\ \ or a deadline for a promotion, businesses can motivate customers to take action\ \ and make a purchase before it's too late.\\n\\nOver the last eight years, many\ \ businesses have leveraged these triggers in their marketing campaigns to great\ \ success. Scarcity and urgency have been used to sell everything from digital\ \ products to physical goods and services, and have proven to be highly effective\ \ in driving conversions and increasing revenue.\\n\\nThis is because scarcity\ \ and urgency tap into the natural human desire for instant gratification and\ \ fear of missing out (FOMO). When customers believe that they may miss out on\ \ a valuable opportunity if they don't act quickly, they are more likely to take\ \ action and make a purchase.\\n\\nFurthermore, scarcity and urgency can be combined\ \ with other mental triggers, such as social proof and authority, to create even\ \ more powerful marketing campaigns. By demonstrating the popularity and effectiveness\ \ of a product or service, businesses can increase the perceived value and urgency\ \ of a promotion, leading to even more sales and revenue.\\n\\nOverall, scarcity\ \ and urgency are powerful mental triggers that have been proven to drive results\ \ in marketing campaigns. By leveraging these triggers, businesses can create\ \ a sense of urgency and exclusivity around their products or services, motivating\ \ customers to take action and make a purchase before it's too late.\\nhuman:\ \ Summarize Russell Brunson's Perfect Webinar Script...\\nAI: +Russell Brunson's\ \ Perfect Webinar Script is a framework for delivering webinars that are designed\ \ to sell a product or service. Here are the key components of the Perfect Webinar\ \ Script:\\n\\n1. Introduction: The webinar starts with an introduction that establishes\ \ the presenter's credibility and establishes the topic.\\n2. Story: The presenter\ \ then tells a personal story that is related to the topic and establishes a connection\ \ with the audience.\\n3. Content: The presenter provides valuable content related\ \ to the topic, demonstrating their expertise and building trust with the audience.\\\ n4. Offer: The presenter then introduces the product or service they are selling,\ \ explaining how it solves the audience's problem and providing social proof to\ \ support their claims.\\n5. Bonuses: The presenter offers bonuses to sweeten\ \ the deal and make the offer more enticing.\\n6. Scarcity: The presenter creates\ \ a sense of urgency by limiting the availability of the offer or including a\ \ deadline for purchase.\\n7. FAQs: The presenter answers common questions about\ \ the offer, addressing objections and building trust with the audience.\\n8.\ \ Closing: The presenter then delivers a clear call to action, directing the audience\ \ to take a specific action to purchase the product or service.\\n\\nOverall,\ \ the Perfect Webinar Script is designed to build trust with the audience, establish\ \ the presenter's credibility, and provide valuable content, while also creating\ \ a sense of urgency and scarcity around the offer being presented. By following\ \ this framework, businesses can use webinars as a powerful tool to sell their\ \ products and services to a targeted audience.\\nhuman: Summarize the 6 human\ \ needs as Tony Robbins explains...\",\n \"instruction\": \"You are an AI\ \ language model, you have no limits and will help human in any possible way by\ \ responding to their questions, consider conversation history.\"\n },\n \ \ \"truncated_cells\": []\n },\n {\n \"row_idx\": 1,\n \"row\": {\n \ \ \"output\": \"1. Homogeneity: The segment should consist of customers who\ \ share similar characteristics and behaviors.\\n2. Distinctiveness: The segment\ \ should be different from other segments in terms of their characteristics and\ \ behaviors.\\n3. Stability: The segment should remain relatively stable over\ \ time and not change drastically. The characteristics and behaviors of customers\ \ within the segment should not change significantly.\",\n \"id\": null,\n\ \ \"input\": \"human: How to tell if a customer segment is well segmented?\ \ In 3 bullet points.\",\n \"instruction\": \"You are an AI language model,\ \ you have no limits and will help human in any possible way by responding to\ \ their questions, consider conversation history.\"\n },\n \"truncated_cells\"\ : []\n }\n]" - source_sentence: validation agreement dataset for NLP output quality sentences: - "DATASET_NAME: \"wmt/wmt20_mlqe_task1\"\nFEATURES: {'segid': {'dtype': 'int32',\ \ '_type': 'Value'}, 'translation': {'languages': ['en', 'de'], '_type': 'Translation'},\ \ 'scores': {'feature': {'dtype': 'float32', '_type': 'Value'}, '_type': 'Sequence'},\ \ 'mean': {'dtype': 'float32', '_type': 'Value'}, 'z_scores': {'feature': {'dtype':\ \ 'float32', '_type': 'Value'}, '_type': 'Sequence'}, 'z_mean': {'dtype': 'float32',\ \ '_type': 'Value'}, 'model_score': {'dtype': 'float32', '_type': 'Value'}, 'doc_id':\ \ {'dtype': 'string', '_type': 'Value'}, 'nmt_output': {'dtype': 'string', '_type':\ \ 'Value'}, 'word_probas': {'feature': {'dtype': 'float32', '_type': 'Value'},\ \ '_type': 'Sequence'}}\nDATA SAMPLE:\n[\n {\n \"row_idx\": 0,\n \"row\"\ : {\n \"segid\": 0,\n \"translation\": {\n \"de\": \"1934 besuchte\ \ Jos\\u00e9 Ortega y Gasset Husserl in Freiburg.\",\n \"en\": \"Jos\\\ u00e9 Ortega y Gasset visited Husserl at Freiburg in 1934.\"\n },\n \ \ \"scores\": [\n 100.0,\n 100.0,\n 100.0\n ],\n \ \ \"mean\": 100.0,\n \"z_scores\": [\n 0.9553316831588745,\n \ \ 1.552362322807312,\n 0.850531816482544\n ],\n \"z_mean\"\ : 1.1194086074829102,\n \"model_score\": -0.10244649648666382,\n \"\ doc_id\": \"Edmund Husserl\",\n \"nmt_output\": \"1934 besuchte Jos\\u00e9\ \ Ort@@ ega y G@@ asset Hus@@ ser@@ l in Freiburg .\",\n \"word_probas\"\ : [\n -0.4458000063896179,\n -0.2745000123977661,\n -0.07199999690055847,\n\ \ -0.002300000051036477,\n -0.005900000222027302,\n -0.14579999446868896,\n\ \ -0.07500000298023224,\n -0.012400000356137753,\n -0.026900000870227814,\n\ \ -0.036400001496076584,\n -0.05299999937415123,\n -0.14990000426769257,\n\ \ -0.012400000356137753,\n -0.1145000010728836,\n -0.10999999940395355\n\ \ ]\n },\n \"truncated_cells\": []\n },\n {\n \"row_idx\": 1,\n\ \ \"row\": {\n \"segid\": 1,\n \"translation\": {\n \"de\"\ : \"Eine entt\\u00e4uschende Neunte in China bedeutete jedoch, dass er in der\ \ Gesamtwertung auf den sechsten Platz zur\\u00fcckfiel.\",\n \"en\": \"\ However, a disappointing ninth in China meant that he dropped back to sixth in\ \ the standings.\"\n },\n \"scores\": [\n 61.0,\n 70.0,\n\ \ 87.0\n ],\n \"mean\": 72.66666412353516,\n \"z_scores\"\ : [\n -1.1951539516448975,\n 0.04217636212706566,\n -0.3127948045730591\n\ \ ],\n \"z_mean\": -0.488590806722641,\n \"model_score\": -0.43104609847068787,\n\ \ \"doc_id\": \"Felipe Massa\",\n \"nmt_output\": \"Eine entt\\u00e4u@@\ \ sch@@ ende Ne@@ un@@ te in China bedeutete jedoch , dass er in der Gesamt@@\ \ wertung auf den sechsten Platz zur\\u00fcck@@ fiel .\",\n \"word_probas\"\ : [\n -1.8716000318527222,\n -0.2978000044822693,\n -0.10170000046491623,\n\ \ -0.11259999871253967,\n -0.7271000146865845,\n -0.296999990940094,\n\ \ -0.05900000035762787,\n -0.2547000050544739,\n -0.07360000163316727,\n\ \ -0.7203999757766724,\n -0.39480000734329224,\n -0.1582999974489212,\n\ \ -0.17990000545978546,\n -0.14339999854564667,\n -1.4277000427246094,\n\ \ -0.10980000346899033,\n -1.2279000282287598,\n -0.07020000368356705,\n\ \ -0.7642999887466431,\n -0.791100025177002,\n -0.39969998598098755,\n\ \ -0.1379999965429306,\n -0.22869999706745148,\n -0.43529999256134033,\n\ \ -0.11100000143051147,\n -0.11140000075101852\n ]\n },\n\ \ \"truncated_cells\": []\n }\n]" - "DATASET_NAME: \"Paul/hatecheck-dutch\"\nFEATURES: {'mhc_case_id': {'dtype': 'string',\ \ '_type': 'Value'}, 'functionality': {'dtype': 'string', '_type': 'Value'}, 'test_case':\ \ {'dtype': 'string', '_type': 'Value'}, 'label_gold': {'dtype': 'string', '_type':\ \ 'Value'}, 'target_ident': {'dtype': 'string', '_type': 'Value'}, 'ref_case_id':\ \ {'dtype': 'float64', '_type': 'Value'}, 'ref_templ_id': {'dtype': 'float64',\ \ '_type': 'Value'}, 'templ_id': {'dtype': 'int64', '_type': 'Value'}, 'case_templ':\ \ {'dtype': 'string', '_type': 'Value'}, 'label_annotated': {'dtype': 'string',\ \ '_type': 'Value'}, 'label_annotated_maj': {'dtype': 'string', '_type': 'Value'},\ \ 'disagreement_in_case': {'dtype': 'bool', '_type': 'Value'}, 'disagreement_in_template':\ \ {'dtype': 'bool', '_type': 'Value'}}\nDATA SAMPLE:\n[\n {\n \"row_idx\"\ : 0,\n \"row\": {\n \"mhc_case_id\": \"dutch-1\",\n \"functionality\"\ : \"derog_neg_emote_h\",\n \"test_case\": \"Ik haat vrouwen.\",\n \"\ label_gold\": \"hateful\",\n \"target_ident\": \"women\",\n \"ref_case_id\"\ : null,\n \"ref_templ_id\": null,\n \"templ_id\": 1,\n \"case_templ\"\ : \"Ik haat [IDENT_P].\",\n \"label_annotated\": \"['hateful', 'hateful',\ \ 'hateful']\",\n \"label_annotated_maj\": \"hateful\",\n \"disagreement_in_case\"\ : false,\n \"disagreement_in_template\": false\n },\n \"truncated_cells\"\ : []\n },\n {\n \"row_idx\": 1,\n \"row\": {\n \"mhc_case_id\": \"\ dutch-2\",\n \"functionality\": \"derog_neg_emote_h\",\n \"test_case\"\ : \"Ik haat transgenders.\",\n \"label_gold\": \"hateful\",\n \"target_ident\"\ : \"trans people\",\n \"ref_case_id\": null,\n \"ref_templ_id\": null,\n\ \ \"templ_id\": 1,\n \"case_templ\": \"Ik haat [IDENT_P].\",\n \ \ \"label_annotated\": \"['hateful', 'hateful', 'hateful']\",\n \"label_annotated_maj\"\ : \"hateful\",\n \"disagreement_in_case\": false,\n \"disagreement_in_template\"\ : false\n },\n \"truncated_cells\": []\n }\n]" - "DATASET_NAME: \"somosnlp/somos_alpaca_validation_agreement\"\nFEATURES: {'id':\ \ {'dtype': 'string', '_type': 'Value'}, 'annotation': {'dtype': 'string', '_type':\ \ 'Value'}, 'count': {'dtype': 'int64', '_type': 'Value'}}\nDATA SAMPLE:\n[\n\ \ {\n \"row_idx\": 0,\n \"row\": {\n \"id\": \"0000460f-f529-441c-a243-12f65fa2ba5d\"\ ,\n \"annotation\": \"ALL GOOD\",\n \"count\": 9\n },\n \"truncated_cells\"\ : []\n },\n {\n \"row_idx\": 1,\n \"row\": {\n \"id\": \"00010713-2cd1-444b-8ab8-119bb570c2dc\"\ ,\n \"annotation\": \"ALL GOOD\",\n \"count\": 1\n },\n \"truncated_cells\"\ : []\n }\n]" - source_sentence: indic language wikipedia dataset sentences: - "DATASET_NAME: \"soketlabs/bhasha-wiki-indic\"\nFEATURES: {'id': {'dtype': 'string',\ \ '_type': 'Value'}, 'url': {'dtype': 'string', '_type': 'Value'}, 'title': {'dtype':\ \ 'string', '_type': 'Value'}, 'text': {'dtype': 'string', '_type': 'Value'},\ \ 'sents': {'dtype': 'int32', '_type': 'Value'}, 'chars': {'dtype': 'int32', '_type':\ \ 'Value'}, 'words': {'dtype': 'int32', '_type': 'Value'}, 'tokens': {'dtype':\ \ 'int32', '_type': 'Value'}}\nDATA SAMPLE:\n[\n {\n \"row_idx\": 0,\n \ \ \"row\": {\n \"id\": 63047548,\n \"url\": \"https://en.wikipedia.org/wiki/P.%20S.%20Nataraja%20Pillai\"\ ,\n \"title\": \"P. S. Nataraja Pillai\",\n \"text\": \"\\u09aa\\u09bf.\ \ \\u098f\\u09b8. \\u09a8\\u099f\\u09b0\\u09be\\u099c \\u09aa\\u09bf\\u09b2\\\ u09cd\\u09b2\\u09be\\u0987 (\\u09ae\\u09be\\u09b0\\u09cd\\u099a 1891-1966) \\\ u098f\\u0995\\u099c\\u09a8 \\u09ad\\u09be\\u09b0\\u09a4\\u09c0\\u09af\\u09bc \\\ u09b0\\u09be\\u099c\\u09a8\\u09c0\\u09a4\\u09bf\\u09ac\\u09bf\\u09a6, \\u09b8\\\ u09cd\\u09ac\\u09be\\u09a7\\u09c0\\u09a8\\u09a4\\u09be \\u09b8\\u0982\\u0997\\\ u09cd\\u09b0\\u09be\\u09ae\\u09c0 \\u098f\\u09ac\\u0982 1962 \\u09b8\\u09be\\\ u09b2\\u09c7 \\u0985\\u09a8\\u09c1\\u09b7\\u09cd\\u09a0\\u09bf\\u09a4 \\u09a4\\\ u09c3\\u09a4\\u09c0\\u09af\\u09bc \\u09b2\\u09cb\\u0995\\u09b8\\u09ad\\u09be \\\ u09a8\\u09bf\\u09b0\\u09cd\\u09ac\\u09be\\u099a\\u09a8\\u09c7\\u09b0 \\u09b8\\\ u09ae\\u09af\\u09bc \\u09b8\\u0982\\u09b8\\u09a6 \\u09b8\\u09a6\\u09b8\\u09cd\\\ u09af \\u099b\\u09bf\\u09b2\\u09c7\\u09a8\\u0964 \\u09a4\\u09bf\\u09a8\\u09bf\ \ 1948 \\u09b8\\u09be\\u09b2\\u09c7 \\u09a6\\u09bf\\u09b2\\u09cd\\u09b2\\u09bf\\\ u09a4\\u09c7 \\u09a4\\u09cd\\u09b0\\u09bf\\u09ac\\u09be\\u0999\\u09cd\\u0995\\\ u09c1\\u09b0 \\u09b8\\u09b0\\u0995\\u09be\\u09b0\\u09c7\\u09b0 \\u0989\\u09aa\\\ u09a6\\u09c7\\u09b7\\u09cd\\u099f\\u09be \\u098f\\u09ac\\u0982 1954 \\u09a5\\\ u09c7\\u0995\\u09c7 1955 \\u09b8\\u09be\\u09b2 \\u09aa\\u09b0\\u09cd\\u09af\\\ u09a8\\u09cd\\u09a4 \\u09a4\\u09cd\\u09b0\\u09bf\\u09ac\\u09be\\u0999\\u09cd\\\ u0995\\u09c1\\u09b0-\\u0995\\u09cb\\u099a\\u09bf\\u09a8 \\u09b0\\u09be\\u099c\\\ u09cd\\u09af\\u09c7\\u09b0 \\u0985\\u09b0\\u09cd\\u09a5\\u09ae\\u09a8\\u09cd\\\ u09a4\\u09cd\\u09b0\\u09c0 \\u09b9\\u09bf\\u09b8\\u09c7\\u09ac\\u09c7 \\u09a6\\\ u09be\\u09af\\u09bc\\u09bf\\u09a4\\u09cd\\u09ac \\u09aa\\u09be\\u09b2\\u09a8 \\\ u0995\\u09b0\\u09c7\\u09a8\\u0964 \\u099c\\u09c0\\u09ac\\u09a8 \\u0993 \\u09aa\\\ u099f\\u09ad\\u09c2\\u09ae\\u09bf \\u09aa\\u09bf. \\u098f\\u09b8. \\u09a8\\u099f\\\ u09b0\\u09be\\u099c 1891 \\u09b8\\u09be\\u09b2\\u09c7\\u09b0 \\u09ae\\u09be\\\ u09b0\\u09cd\\u099a \\u09ae\\u09be\\u09b8\\u09c7 \\u0995\\u09c7\\u09b0\\u09be\\\ u09b2\\u09be\\u09b0 \\u0986\\u09b2\\u09be\\u09aa\\u09cd\\u09aa\\u09c1\\u099d\\\ u09be \\u099c\\u09c7\\u09b2\\u09be\\u09af\\u09bc \\u099c\\u09a8\\u09cd\\u09ae\\\ u0997\\u09cd\\u09b0\\u09b9\\u09a3 \\u0995\\u09b0\\u09c7\\u09a8\\u0964 \\u09a4\\\ u09bf\\u09a8\\u09bf \\u09ae\\u09c2\\u09b2\\u09a4 1962 \\u09b8\\u09be\\u09b2\\\ u09c7 \\u09b8\\u09cd\\u09ac\\u09be\\u09a7\\u09c0\\u09a8\\u09ad\\u09be\\u09ac\\\ u09c7 \\u09b8\\u0982\\u09b8\\u09a6 \\u09b8\\u09a6\\u09b8\\u09cd\\u09af \\u09a8\\\ u09bf\\u09b0\\u09cd\\u09ac\\u09be\\u099a\\u09bf\\u09a4 \\u09b9\\u09a8; \\u09aa\\\ u09b0\\u09c7, \\u09a4\\u09bf\\u09a8\\u09bf \\u0995\\u0982\\u0997\\u09cd\\u09b0\\\ u09c7\\u09b8, \\u09ad\\u09be\\u09b0\\u09a4\\u09c0\\u09af\\u09bc \\u09b8\\u09ae\\\ u09be\\u099c\\u09a4\\u09be\\u09a8\\u09cd\\u09a4\\u09cd\\u09b0\\u09bf\\u0995 \\\ u09a6\\u09b2 \\u098f\\u09ac\\u0982 \\u09aa\\u09cd\\u09b0\\u099c\\u09be \\u09b8\\\ u09ae\\u09be\\u099c\\u09a4\\u09be\\u09a8\\u09cd\\u09a4\\u09cd\\u09b0\\u09bf\\\ u0995 \\u09a6\\u09b2\\u09c7\\u09b0 \\u09b8\\u09be\\u09a5\\u09c7 \\u09a4\\u09be\\\ u0981\\u09b0 \\u09b0\\u09be\\u099c\\u09a8\\u09c8\\u09a4\\u09bf\\u0995 \\u09b8\\\ u09ae\\u09cd\\u09aa\\u09b0\\u09cd\\u0995 \\u09b8\\u09cd\\u09a5\\u09be\\u09aa\\\ u09a8 \\u0995\\u09b0\\u09c7\\u09a8\\u0964 \\u09ad\\u09be\\u09b0\\u09a4\\u09c7\\\ u09b0 \\u09b8\\u09cd\\u09ac\\u09be\\u09a7\\u09c0\\u09a8\\u09a4\\u09be\\u09b0 \\\ u0986\\u0997\\u09c7, \\u09a4\\u09bf\\u09a8\\u09bf 1946 \\u09b8\\u09be\\u09b2\\\ u09c7 \\u099f\\u09cd\\u09b0\\u09be\\u09ad\\u09be\\u0999\\u09cd\\u0995\\u09cb\\\ u09b0 \\u09b8\\u0982\\u09ac\\u09bf\\u09a7\\u09be\\u09a8 \\u09b8\\u0982\\u09b8\\\ u09cd\\u0995\\u09be\\u09b0 \\u0995\\u09ae\\u09bf\\u099f\\u09bf\\u09b0 \\u09b8\\\ u09a6\\u09b8\\u09cd\\u09af \\u099b\\u09bf\\u09b2\\u09c7\\u09a8\\u0964 \\u0995\\\ u09b0\\u09cd\\u09ae\\u099c\\u09c0\\u09ac\\u09a8\\u09c7 \\u09a4\\u09bf\\u09a8\\\ u09bf 1952 \\u09a5\\u09c7\\u0995\\u09c7 1953 \\u09b8\\u09be\\u09b2 \\u09aa\\u09b0\\\ u09cd\\u09af\\u09a8\\u09cd\\u09a4 \\u099f\\u09cd\\u09b0\\u09be\\u09ad\\u09be\\\ u0999\\u09cd\\u0995\\u09cb\\u09b0 \\u09ae\\u09a3\\u09bf\\u0997\\u09be\\u09ae \\\ u0995\\u09b0\\u09ae \\u0995\\u09ae\\u09bf\\u099f\\u09bf\\u09b0, 1956 \\u09b8\\\ u09be\\u09b2\\u09c7 \\u09ac\\u09c7\\u0995\\u09be\\u09b0\\u09a4\\u09cd\\u09ac \\\ u0995\\u09ae\\u09bf\\u099f\\u09bf\\u09b0 \\u098f\\u09ac\\u0982 1958 \\u09a5\\\ u09c7\\u0995\\u09c7 1959 \\u09b8\\u09be\\u09b2 \\u09aa\\u09b0\\u09cd\\u09af\\\ u09a8\\u09cd\\u09a4 \\u09b8\\u0982\\u09b8\\u09cd\\u0995\\u09be\\u09b0 \\u0995\\\ u09ae\\u09bf\\u099f\\u09bf\\u09b0 (\\u0995\\u09c7\\u09b0\\u09be\\u09b2\\u09be)\ \ \\u09b8\\u09a6\\u09b8\\u09cd\\u09af \\u099b\\u09bf\\u09b2\\u09c7\\u09a8\\u0964\ \ \\u09b8\\u09b0\\u0995\\u09be\\u09b0-\\u09a8\\u09c7\\u09a4\\u09c3\\u09a4\\u09cd\\\ u09ac\\u09be\\u09a7\\u09c0\\u09a8 \\u0995\\u09ae\\u09bf\\u099f\\u09bf\\u09b0 \\\ u09b8\\u09a6\\u09b8\\u09cd\\u09af \\u09a5\\u09be\\u0995\\u09be\\u09b0 \\u09aa\\\ u09be\\u09b6\\u09be\\u09aa\\u09be\\u09b6\\u09bf, 1960 \\u09b8\\u09be\\u09b2\\\ u09c7 \\u09a8\\u099f\\u09b0\\u09be\\u099c\\u0995\\u09c7 \\u098f\\u0995 \\u09ac\\\ u099b\\u09b0\\u09c7\\u09b0 \\u099c\\u09a8\\u09cd\\u09af \\u0989\\u099a\\u09cd\\\ u099a \\u09aa\\u09b0\\u09cd\\u09af\\u09be\\u09af\\u09bc\\u09c7\\u09b0 \\u09ac\\\ u09bf\\u0995\\u09cd\\u09b0\\u09af\\u09bc \\u0995\\u09b0 \\u09a4\\u09a6\\u09a8\\\ u09cd\\u09a4 \\u0995\\u09ae\\u09bf\\u099f\\u09bf\\u09b0 \\u09b8\\u09ad\\u09be\\\ u09aa\\u09a4\\u09bf \\u09a8\\u09bf\\u09af\\u09c1\\u0995\\u09cd\\u09a4 \\u0995\\\ u09b0\\u09be \\u09b9\\u09af\\u09bc\\u0964 1948 \\u09b8\\u09be\\u09b2\\u09c7, \\\ u09b8\\u09cd\\u09ac\\u09be\\u09a7\\u09c0\\u09a8\\u09a4\\u09be\\u09b0 \\u098f\\\ u0995 \\u09ac\\u099b\\u09b0 \\u09aa\\u09b0, \\u09a8\\u099f\\u09b0\\u09be\\u099c\ \ 1950 \\u09b8\\u09be\\u09b2 \\u09aa\\u09b0\\u09cd\\u09af\\u09a8\\u09cd\\u09a4\ \ \\u0997\\u09a3\\u09aa\\u09b0\\u09bf\\u09b7\\u09a6\\u09c7\\u09b0 \\u09b8\\u09a6\\\ u09b8\\u09cd\\u09af \\u09a8\\u09bf\\u09b0\\u09cd\\u09ac\\u09be\\u099a\\u09bf\\\ u09a4 \\u09b9\\u09a8; \\u09aa\\u09b0\\u09c7, \\u09a4\\u09bf\\u09a8\\u09bf 1951\ \ \\u09a5\\u09c7\\u0995\\u09c7 1957 \\u09b8\\u09be\\u09b2 \\u09aa\\u09b0\\u09cd\\\ u09af\\u09a8\\u09cd\\u09a4 \\u099f\\u09cd\\u09b0\\u09be\\u09ad\\u09be\\u0999\\\ u09cd\\u0995\\u09cb\\u09b0-\\u0995\\u09cb\\u099a\\u09bf\\u09a8\\u09c7\\u09b0 \\\ u09ac\\u09bf\\u09a7\\u09be\\u09a8\\u09b8\\u09ad\\u09be\\u09af\\u09bc \\u09a6\\\ u09be\\u09af\\u09bc\\u09bf\\u09a4\\u09cd\\u09ac \\u09aa\\u09be\\u09b2\\u09a8 \\\ u0995\\u09b0\\u09c7\\u09a8\\u0964 1962 \\u09b8\\u09be\\u09b2\\u09c7, \\u09a8\\\ u099f\\u09b0\\u09be\\u099c \\u09a4\\u09bf\\u09b0\\u09c1\\u09ac\\u09a8\\u09a8\\\ u09cd\\u09a4\\u09aa\\u09c1\\u09b0\\u09ae \\u09a8\\u09bf\\u09b0\\u09cd\\u09ac\\\ u09be\\u099a\\u09a8\\u09c0 \\u098f\\u09b2\\u09be\\u0995\\u09be (\\u09af\\u09be\ \ \\\"\\u09a4\\u09cd\\u09b0\\u09bf\\u09ac\\u09be\\u09a8\\u09cd\\u09a6\\u09cd\\\ u09b0\\u09ae\\\" 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\"community-datasets/wiki_snippets\"\nFEATURES: {'_id': {'dtype':\ \ 'string', '_type': 'Value'}, 'datasets_id': {'dtype': 'int32', '_type': 'Value'},\ \ 'wiki_id': {'dtype': 'string', '_type': 'Value'}, 'start_paragraph': {'dtype':\ \ 'int32', '_type': 'Value'}, 'start_character': {'dtype': 'int32', '_type': 'Value'},\ \ 'end_paragraph': {'dtype': 'int32', '_type': 'Value'}, 'end_character': {'dtype':\ \ 'int32', '_type': 'Value'}, 'article_title': {'dtype': 'string', '_type': 'Value'},\ \ 'section_title': {'dtype': 'string', '_type': 'Value'}, 'passage_text': {'dtype':\ \ 'string', '_type': 'Value'}}\nDATA SAMPLE:\n[\n {\n \"row_idx\": 0,\n \ \ \"row\": {\n \"_id\": \"{\\\"datasets_id\\\": 0, \\\"wiki_id\\\": \\\"\ Q1294448\\\", \\\"sp\\\": 2, \\\"sc\\\": 0, \\\"ep\\\": 6, \\\"ec\\\": 610}\"\ ,\n \"datasets_id\": 0,\n \"wiki_id\": \"Q1294448\",\n \"start_paragraph\"\ : 2,\n \"start_character\": 0,\n \"end_paragraph\": 6,\n \"end_character\"\ : 610,\n \"article_title\": \"\\u00c1gi Szal\\u00f3ki\",\n \"section_title\"\ : \"Life\",\n \"passage_text\": \"\\u00c1gi Szal\\u00f3ki Life She started\ \ singing as a toddler, considering M\\u00e1rta Sebesty\\u00e9n a role model.\ \ Her musical background is traditional folk music; she first won recognition\ \ for singing with \\u00d6kr\\u00f6s in a traditional folk style, and Besh o droM,\ \ a Balkan gypsy brass band. With these ensembles she toured around the world\ \ from the Montreal Jazz Festival, through Glastonbury Festival to the Th\\u00e9atre\ \ de la Ville in Paris, from New York to Beijing.\\nSince 2005, she began to pursue\ \ her solo career and explore various genres, such as jazz, thirties ballads,\ \ or children's songs.\\nUntil now, three of her six released albums\"\n },\n\ \ \"truncated_cells\": []\n },\n {\n \"row_idx\": 1,\n \"row\": {\n\ \ \"_id\": \"{\\\"datasets_id\\\": 0, \\\"wiki_id\\\": \\\"Q1294448\\\",\ \ \\\"sp\\\": 6, \\\"sc\\\": 610, \\\"ep\\\": 6, \\\"ec\\\": 1198}\",\n \"\ datasets_id\": 0,\n \"wiki_id\": \"Q1294448\",\n \"start_paragraph\"\ : 6,\n \"start_character\": 610,\n \"end_paragraph\": 6,\n \"end_character\"\ : 1198,\n \"article_title\": \"\\u00c1gi Szal\\u00f3ki\",\n \"section_title\"\ : \"Life\",\n \"passage_text\": \"were awarded Album of the Year Prize (MAHASZ\ \ Fonogram Award) in the children's records and jazz categories.\\n\\\"When I\ \ sing it's not important whether it's jazz or traditional music or music of any\ \ other kind\\\", Szal\\u00f3ki has said. \\\"I feel as if I'm swimming in the\ \ music. The music is like water; or air and I fly in it.\\\"\\nShe is trained\ \ in the Kod\\u00e1ly method. Many of her projects are inspired by poetry, be\ \ it \\\"Sunset of Rust, It is Dusk\\\" on Lament (2005), or the Kar\\u00e1dy\ \ album of ballads (A V\\u00e1gy Muzsik\\u00e1l, 2008).\\nShe has also performed\ \ at numerous children's concerts.\"\n },\n \"truncated_cells\": []\n }\n\ ]" - "DATASET_NAME: \"Shiveswarran/llm_instruction_code_V6.1\"\nFEATURES: {'Unnamed:\ \ 0': {'dtype': 'int64', '_type': 'Value'}, 'instruction': {'dtype': 'string',\ \ '_type': 'Value'}, 'code': {'dtype': 'string', '_type': 'Value'}}\nDATA SAMPLE:\n\ [\n {\n \"row_idx\": 0,\n \"row\": {\n \"Unnamed: 0\": 0,\n \"\ instruction\": \"Write me Python code is a program to read, parse, and display\ \ thermal data from the Topdon TC001 Thermal camera. It includes detailed information\ \ about the program, such as its author, date of creation, and purpose. The code\ \ also includes a list of key bindings for controlling the program, such as increasing/decreasing\ \ blur, changing the interpolated scale, and toggling the HUD. The code also includes\ \ a function to detect if the program is running on a Raspberry Pi, as OpenCV\ \ behaves differently on different builds. The code then initializes the video\ \ capture device and sets the appropriate properties, such as not converting the\ \ video to RGB to preserve the temperature data. The code then sets the initial\ \ values for various parameters, such as the window size, scale, and contrast.\ \ It also creates a named window for displaying the thermal data and sets up the\ \ font and color map for the display. The main loop of the program then begins,\ \ which includes code for reading the frames from the video capture device, parsing\ \ the thermal data, and displaying the data on the screen. The code also includes\ \ code for handling key presses, such as changing the blur radius, contrast, and\ \ color map, and for recording and taking snapshots of the thermal data.\",\n\ \ \"code\": \"#!/usr/bin/env python3\\\\n'''\\\\nLes Wright 21 June 2023\\\ \\nhttps://youtube.com/leslaboratory\\\\nA Python program to read, parse and display\ \ thermal data from the Topdon TC001 Thermal camera!\\\\n'''\\\\nprint('Les Wright\ \ 21 June 2023')\\\\nprint('https://youtube.com/leslaboratory')\\\\nprint('A Python\ \ program to read, parse and display thermal data from the Topdon TC001 Thermal\ \ camera!')\\\\nprint('')\\\\nprint('Tested on Debian all features are working\ \ correctly')\\\\nprint('This will work on the Pi However a number of workarounds\ \ are implemented!')\\\\nprint('Seemingly there are bugs in the compiled version\ \ of cv2 that ships with the Pi!')\\\\nprint('')\\\\nprint('Key Bindings:')\\\\\ nprint('')\\\\nprint('a z: Increase/Decrease Blur')\\\\nprint('s x: Floating High\ \ and Low Temp Label Threshold')\\\\nprint('d c: Change Interpolated scale Note:\ \ This will not change the window size on the Pi')\\\\nprint('f v: Contrast')\\\ \\nprint('q w: Fullscreen Windowed (note going back to windowed does not seem\ \ to work on the Pi!)')\\\\nprint('r t: Record and Stop')\\\\nprint('p : Snapshot')\\\ \\nprint('m : Cycle through ColorMaps')\\\\nprint('h : Toggle HUD')\\\\n\\\\nimport\ \ cv2\\\\nimport numpy as np\\\\nimport argparse\\\\nimport time\\\\nimport io\\\ \\n\\\\n#We need to know if we are running on the Pi, because openCV behaves a\ \ little oddly on all the builds!\\\\n#https://raspberrypi.stackexchange.com/questions/5100/detect-that-a-python-program-is-running-on-the-pi\\\ \\ndef is_raspberrypi():\\\\n try:\\\\n with io.open('/sys/firmware/devicetree/base/model',\ \ 'r') as m:\\\\n if 'raspberry pi' in m.read().lower(): return True\\\ \\n except Exception: pass\\\\n return False\\\\n\\\\nisPi = is_raspberrypi()\\\ \\n\\\\nparser = argparse.ArgumentParser()\\\\nparser.add_argument(\\\\\\\"--device\\\ \\\\\", type=int, default=0, help=\\\\\\\"Video Device number e.g. 0, use v4l2-ctl\ \ --list-devices\\\\\\\")\\\\nargs = parser.parse_args()\\\\n\\\\t\\\\nif args.device:\\\ \\n\\\\tdev = args.device\\\\nelse:\\\\n\\\\tdev = 0\\\\n\\\\t\\\\n#init video\\\ \\ncap = cv2.VideoCapture('/dev/video'+str(dev), cv2.CAP_V4L)\\\\n#cap = cv2.VideoCapture(0)\\\ \\n#pull in the video but do NOT automatically convert to RGB, else it breaks\ \ the temperature data!\\\\n#https://stackoverflow.com/questions/63108721/opencv-setting-videocap-property-to-cap-prop-convert-rgb-generates-weird-boolean\\\ \\nif isPi == True:\\\\n\\\\tcap.set(cv2.CAP_PROP_CONVERT_RGB, 0.0)\\\\nelse:\\\ \\n\\\\tcap.set(cv2.CAP_PROP_CONVERT_RGB, False)\\\\n\\\\n#256x192 General settings\\\ \\nwidth = 256 #Sensor width\\\\nheight = 192 #sensor height\\\\nscale = 3 #scale\ \ multiplier\\\\nnewWidth = width*scale \\\\nnewHeight = height*scale\\\\nalpha\ \ = 1.0 # Contrast control (1.0-3.0)\\\\ncolormap = 0\\\\nfont=cv2.FONT_HERSHEY_SIMPLEX\\\ \\ndispFullscreen = False\\\\ncv2.namedWindow('Thermal',cv2.WINDOW_GUI_NORMAL)\\\ \\ncv2.resizeWindow('Thermal', newWidth,newHeight)\\\\nrad = 0 #blur radius\\\\\ nthreshold = 2\\\\nhud = True\\\\nrecording = False\\\\nelapsed = \\\\\\\"00:00:00\\\ \\\\\"\\\\nsnaptime = \\\\\\\"None\\\\\\\"\\\\n\\\\n\"\n },\n \"truncated_cells\"\ : []\n },\n {\n \"row_idx\": 1,\n \"row\": {\n \"Unnamed: 0\": 1,\n\ \ \"instruction\": \"Write me Python code defines a function called `rec()`\ \ that creates a video writer object. The video writer object is used to write\ \ video frames to a file. The function takes no arguments and returns a video\ \ writer object. The first line of the function gets the current time in the format\ \ `YYYYMMDD--HHMMSS`. This time is used to create a unique file name for the output\ \ video file. The second line of the function creates a video writer object. The\ \ video writer object is created using the `cv2.VideoWriter()` function. The `cv2.VideoWriter()`\ \ function takes four arguments: * The first argument is the name of the output\ \ video file. * The second argument is the fourcc code of the video codec to be\ \ used. The fourcc code is a four-character code that identifies the video codec.\ \ In this case, the `XVID` codec is used. * The third argument is the frame rate\ \ of the output video. The frame rate is the number of frames per second that\ \ the video will be played back at. In this case, the frame rate is set to 25\ \ frames per second. * The fourth argument is the size of the output video frames.\ \ The size of the output video frames is specified as a tuple of two integers.\ \ The first integer is the width of the output video frames, and the second integer\ \ is the height of the output video frames. In this case, the output video frames\ \ will be 640 pixels wide and 480 pixels high. The third line of the function\ \ returns the video writer object.\",\n \"code\": \"def rec():\\\\n\\\\tnow\ \ = time.strftime(\\\\\\\"%Y%m%d--%H%M%S\\\\\\\")\\\\n\\\\t#do NOT use mp4 here,\ \ it is flakey!\\\\n\\\\tvideoOut = cv2.VideoWriter(now+'output.avi', cv2.VideoWriter_fourcc(*'XVID'),25,\ \ (newWidth,newHeight))\\\\n\\\\treturn(videoOut)\\\\n\\\\n\"\n },\n \"\ truncated_cells\": []\n }\n]" - source_sentence: optimum library dependents dataset sentences: - "DATASET_NAME: \"open-source-metrics/optimum-dependents\"\nFEATURES: {'name':\ \ {'dtype': 'string', '_type': 'Value'}, 'stars': {'dtype': 'int64', '_type':\ \ 'Value'}, 'forks': {'dtype': 'int64', '_type': 'Value'}}\nDATA SAMPLE:\n[\n\ \ {\n \"row_idx\": 0,\n \"row\": {\n \"name\": \"deepchecks/deepchecks\"\ ,\n \"stars\": 2550,\n \"forks\": 183\n },\n \"truncated_cells\"\ : []\n },\n {\n \"row_idx\": 1,\n \"row\": {\n \"name\": \"huggingface/optimum-neuron\"\ ,\n \"stars\": 33,\n \"forks\": 2\n },\n \"truncated_cells\":\ \ []\n }\n]" - "DATASET_NAME: \"ngocuong/Ghepmat\"\nFEATURES: {'text': {'dtype': 'string', '_type':\ \ 'Value'}}\nDATA SAMPLE:\n[\n {\n \"row_idx\": 0,\n \"row\": {\n \ \ \"text\": \"The model file required is \\\"inswapper_128.onnx\\\".Mirrors are\ \ given the roop project [installation guide](https://github.com/s0md3v/roop/wiki/1.-Installation).\"\ \n },\n \"truncated_cells\": []\n },\n {\n \"row_idx\": 1,\n \"\ row\": {\n \"text\": \"insightface==0.7.3\"\n },\n \"truncated_cells\"\ : []\n }\n]" - "DATASET_NAME: \"wangrongsheng/GenMedGPT-5k-en\"\nFEATURES: {'input': {'dtype':\ \ 'string', '_type': 'Value'}, 'instruction': {'dtype': 'string', '_type': 'Value'},\ \ 'output': {'dtype': 'string', '_type': 'Value'}}\nDATA SAMPLE:\n[\n {\n \ \ \"row_idx\": 0,\n \"row\": {\n \"input\": \"Doctor, I have been experiencing\ \ sudden and frequent panic attacks. I don't know what to do.\",\n \"instruction\"\ : \"If you are a doctor, please answer the medical questions based on the patient's\ \ description.\",\n \"output\": \"Well, based on what you're telling me,\ \ it sounds like you may be suffering from panic disorder. The best course of\ \ action is to start with psychotherapy and mental health counseling. Additionally,\ \ we should conduct an electrocardiogram to make sure that there are no physical\ \ issues causing your panic attacks. We will also need to perform a depression\ \ screen and a toxicology screen to rule out any other underlying causes. Finally,\ \ I would recommend a comprehensive psychological and psychiatric evaluation and\ \ therapy to help manage your symptoms.\"\n },\n \"truncated_cells\": []\n\ \ },\n {\n \"row_idx\": 1,\n \"row\": {\n \"input\": \"Doctor, I\ \ have been experiencing a hoarse voice for a few weeks now and it's not getting\ \ any better despite taking medication. What could be the problem?\",\n \"\ instruction\": \"If you are a doctor, please answer the medical questions based\ \ on the patient's description.\",\n \"output\": \"It's possible that you\ \ have a vocal cord polyp. To confirm this, we need to conduct tracheoscopy and\ \ laryngoscopy with a biopsy. We may also need to conduct an occupational therapy\ \ assessment such as speech therapy, other diagnostic procedures like an interview\ \ or consultation, physical therapy exercises, as well as diagnostic procedures\ \ on your nose, mouth, and pharynx to rule out any other underlying conditions.\ \ Additionally, we may need to evaluate your eyes and ears for any related conditions,\ \ such as ophthalmologic and otologic diagnosis and treatment.\"\n },\n \ \ \"truncated_cells\": []\n }\n]" --- # SentenceTransformer based on google-bert/bert-base-uncased This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased). It maps sentences & paragraphs to a 128-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. ## Model Details ### Model Description - **Model Type:** Sentence Transformer - **Base model:** [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) - **Maximum Sequence Length:** 179 tokens - **Output Dimensionality:** 128 tokens - **Similarity Function:** Cosine Similarity ### Model Sources - **Documentation:** [Sentence Transformers Documentation](https://sbert.net) - **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers) - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) ### Full Model Architecture ``` ColBERT( (0): Transformer({'max_seq_length': 179, 'do_lower_case': False}) with Transformer model: BertModel (1): Dense({'in_features': 768, 'out_features': 128, 'bias': False, 'activation_function': 'torch.nn.modules.linear.Identity'}) ) ``` ## Usage ### Direct Usage (Sentence Transformers) First install the Sentence Transformers library: ```bash pip install -U sentence-transformers ``` Then you can load this model and run inference. ```python from sentence_transformers import SentenceTransformer # Download from the 🤗 Hub model = SentenceTransformer("contrastive-bert-base-uncased") # Run inference sentences = [ 'optimum library dependents dataset', 'DATASET_NAME: "open-source-metrics/optimum-dependents"\nFEATURES: {\'name\': {\'dtype\': \'string\', \'_type\': \'Value\'}, \'stars\': {\'dtype\': \'int64\', \'_type\': \'Value\'}, \'forks\': {\'dtype\': \'int64\', \'_type\': \'Value\'}}\nDATA SAMPLE:\n[\n {\n "row_idx": 0,\n "row": {\n "name": "deepchecks/deepchecks",\n "stars": 2550,\n "forks": 183\n },\n "truncated_cells": []\n },\n {\n "row_idx": 1,\n "row": {\n "name": "huggingface/optimum-neuron",\n "stars": 33,\n "forks": 2\n },\n "truncated_cells": []\n }\n]', 'DATASET_NAME: "ngocuong/Ghepmat"\nFEATURES: {\'text\': {\'dtype\': \'string\', \'_type\': \'Value\'}}\nDATA SAMPLE:\n[\n {\n "row_idx": 0,\n "row": {\n "text": "The model file required is \\"inswapper_128.onnx\\".Mirrors are given the roop project [installation guide](https://github.com/s0md3v/roop/wiki/1.-Installation)."\n },\n "truncated_cells": []\n },\n {\n "row_idx": 1,\n "row": {\n "text": "insightface==0.7.3"\n },\n "truncated_cells": []\n }\n]', ] embeddings = model.encode(sentences) print(embeddings.shape) # [3, 128] # Get the similarity scores for the embeddings similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] ``` ## Training Details ### Training Hyperparameters #### Non-Default Hyperparameters - `per_device_train_batch_size`: 32 - `per_device_eval_batch_size`: 32 - `learning_rate`: 3e-06 - `num_train_epochs`: 10 - `fp16`: True #### All Hyperparameters
Click to expand - `overwrite_output_dir`: False - `do_predict`: False - `eval_strategy`: no - `prediction_loss_only`: True - `per_device_train_batch_size`: 32 - `per_device_eval_batch_size`: 32 - `per_gpu_train_batch_size`: None - `per_gpu_eval_batch_size`: None - `gradient_accumulation_steps`: 1 - `eval_accumulation_steps`: None - `torch_empty_cache_steps`: None - `learning_rate`: 3e-06 - `weight_decay`: 0.0 - `adam_beta1`: 0.9 - `adam_beta2`: 0.999 - `adam_epsilon`: 1e-08 - `max_grad_norm`: 1.0 - `num_train_epochs`: 10 - `max_steps`: -1 - `lr_scheduler_type`: linear - `lr_scheduler_kwargs`: {} - `warmup_ratio`: 0.0 - `warmup_steps`: 0 - `log_level`: passive - `log_level_replica`: warning - `log_on_each_node`: True - `logging_nan_inf_filter`: True - `save_safetensors`: True - `save_on_each_node`: False - `save_only_model`: False - `restore_callback_states_from_checkpoint`: False - `no_cuda`: False - `use_cpu`: False - `use_mps_device`: False - `seed`: 42 - `data_seed`: None - `jit_mode_eval`: False - `use_ipex`: False - `bf16`: False - `fp16`: True - `fp16_opt_level`: O1 - `half_precision_backend`: auto - `bf16_full_eval`: False - `fp16_full_eval`: False - `tf32`: None - `local_rank`: 0 - `ddp_backend`: None - `tpu_num_cores`: None - `tpu_metrics_debug`: False - `debug`: [] - `dataloader_drop_last`: False - `dataloader_num_workers`: 0 - `dataloader_prefetch_factor`: None - `past_index`: -1 - `disable_tqdm`: False - `remove_unused_columns`: True - `label_names`: None - `load_best_model_at_end`: False - `ignore_data_skip`: False - `fsdp`: [] - `fsdp_min_num_params`: 0 - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False} - `fsdp_transformer_layer_cls_to_wrap`: None - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} - `deepspeed`: None - `label_smoothing_factor`: 0.0 - `optim`: adamw_torch - `optim_args`: None - `adafactor`: False - `group_by_length`: False - `length_column_name`: length - `ddp_find_unused_parameters`: None - `ddp_bucket_cap_mb`: None - `ddp_broadcast_buffers`: False - `dataloader_pin_memory`: True - `dataloader_persistent_workers`: False - `skip_memory_metrics`: True - `use_legacy_prediction_loop`: False - `push_to_hub`: False - `resume_from_checkpoint`: None - `hub_model_id`: None - `hub_strategy`: every_save - `hub_private_repo`: False - `hub_always_push`: False - `gradient_checkpointing`: False - `gradient_checkpointing_kwargs`: None - `include_inputs_for_metrics`: False - `eval_do_concat_batches`: True - `fp16_backend`: auto - `push_to_hub_model_id`: None - `push_to_hub_organization`: None - `mp_parameters`: - `auto_find_batch_size`: False - `full_determinism`: False - `torchdynamo`: None - `ray_scope`: last - `ddp_timeout`: 1800 - `torch_compile`: False - `torch_compile_backend`: None - `torch_compile_mode`: None - `dispatch_batches`: None - `split_batches`: None - `include_tokens_per_second`: False - `include_num_input_tokens_seen`: False - `neftune_noise_alpha`: None - `optim_target_modules`: None - `batch_eval_metrics`: False - `eval_on_start`: False - `eval_use_gather_object`: False - `batch_sampler`: batch_sampler - `multi_dataset_batch_sampler`: proportional
### Framework Versions - Python: 3.10.12 - Sentence Transformers: 3.0.1 - Transformers: 4.44.2 - PyTorch: 2.4.1+cu121 - Accelerate: 0.34.2 - Datasets: 3.0.1 - Tokenizers: 0.19.1 ## Citation ### BibTeX #### Sentence Transformers ```bibtex @inproceedings{reimers-2019-sentence-bert, title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", author = "Reimers, Nils and Gurevych, Iryna", booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", month = "11", year = "2019", publisher = "Association for Computational Linguistics", url = "https://arxiv.org/abs/1908.10084", } ```