dataset_infos.json

{"emot": {"description": "An emotion classification dataset collected from the social media\nplatform Twitter (Saputri et al., 2018). The dataset consists of\naround 4000 Indonesian colloquial language tweets, covering five\ndifferent emotion labels: sadness, anger, love, fear, and happy.", "citation": "@inproceedings{saputri2018emotion,\n  title={Emotion Classification on Indonesian Twitter Dataset},\n  author={Mei Silviana Saputri, Rahmad Mahendra, and Mirna Adriani},\n  booktitle={Proceedings of the 2018 International Conference on Asian Language Processing(IALP)},\n  pages={90--95},\n  year={2018},\n  organization={IEEE}\n}\n@inproceedings{wilie2020indonlu,\ntitle = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\nauthors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},\nbooktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\nyear={2020}\n}\n", "homepage": "https://www.indobenchmark.com/", "license": "", "features": {"tweet": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 5, "names": ["sadness", "anger", "love", "fear", "happy"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "indonlu", "config_name": "emot", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 686418, "num_examples": 3521, "dataset_name": "indonlu"}, "validation": {"name": "validation", "num_bytes": 84082, "num_examples": 440, "dataset_name": "indonlu"}, "test": {"name": "test", "num_bytes": 84856, "num_examples": 440, "dataset_name": "indonlu"}}, "download_checksums": {"https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/emot_emotion-twitter/train_preprocess.csv": {"num_bytes": 674924, "checksum": "51bb4e77d989004d0ca49c158f404d7eda956015a18b805401f7dee9b4d85fc1"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/emot_emotion-twitter/valid_preprocess.csv": {"num_bytes": 82619, "checksum": "3cba3d7b2cc3afa5cdd452a13df2498ff8a32b420f59ed10a48e41a452c98f50"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/emot_emotion-twitter/test_preprocess_masked_label.csv": {"num_bytes": 83374, "checksum": "85426e71254016c9d85707b77a15ae494eb44b5d1412dbe937c2b74c133293e9"}}, "download_size": 840917, "post_processing_size": null, "dataset_size": 855356, "size_in_bytes": 1696273}, "smsa": {"description": "This sentence-level sentiment analysis dataset (Purwarianti and Crisdayanti, 2019)\nis a collection of comments and reviews in Indonesian obtained from multiple online\nplatforms. The text was crawled and then annotated by several Indonesian linguists\nto construct this dataset. There are three possible sentiments on the SmSA\ndataset: positive, negative, and neutral.", "citation": "@inproceedings{purwarianti2019improving,\n  title={Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector},\n  author={Ayu Purwarianti and Ida Ayu Putu Ari Crisdayanti},\n  booktitle={Proceedings of the 2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA)},\n  pages={1--5},\n  year={2019},\n  organization={IEEE}\n}\n@inproceedings{wilie2020indonlu,\ntitle = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\nauthors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},\nbooktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\nyear={2020}\n}\n", "homepage": "https://www.indobenchmark.com/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["positive", "neutral", "negative"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "indonlu", "config_name": "smsa", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2209874, "num_examples": 11000, "dataset_name": "indonlu"}, "validation": {"name": "validation", "num_bytes": 249629, "num_examples": 1260, "dataset_name": "indonlu"}, "test": {"name": "test", "num_bytes": 77041, "num_examples": 500, "dataset_name": "indonlu"}}, "download_checksums": {"https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/smsa_doc-sentiment-prosa/train_preprocess.tsv": {"num_bytes": 2186718, "checksum": "50f38ceed9b31521bf1581e126620532cc9b790712938159a2cdcf6906977a9b"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/smsa_doc-sentiment-prosa/valid_preprocess.tsv": {"num_bytes": 246974, "checksum": "6ab41ddc9d58a35086f05ebd2e209c74cb03d87d4f51d6abdfba674eafbefa74"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/smsa_doc-sentiment-prosa/test_preprocess_masked_label.tsv": {"num_bytes": 75537, "checksum": "ecc239ad7a069774954843da50eba266398bab70d0370f74684bf1c107b64e70"}}, "download_size": 2509229, "post_processing_size": null, "dataset_size": 2536544, "size_in_bytes": 5045773}, "casa": {"description": "An aspect-based sentiment analysis dataset consisting of around a thousand car reviews collected\nfrom multiple Indonesian online automobile platforms (Ilmania et al., 2018). The dataset covers\nsix aspects of car quality. We define the task to be a multi-label classification task, where\neach label represents a sentiment for a single aspect with three possible values: positive,\nnegative, and neutral.", "citation": "@inproceedings{ilmania2018aspect,\n  title={Aspect Detection and Sentiment Classification Using Deep Neural Network for Indonesian Aspect-based Sentiment Analysis},\n  author={Arfinda Ilmania, Abdurrahman, Samuel Cahyawijaya, Ayu Purwarianti},\n  booktitle={Proceedings of the 2018 International Conference on Asian Language Processing(IALP)},\n  pages={62--67},\n  year={2018},\n  organization={IEEE}\n}\n@inproceedings{wilie2020indonlu,\ntitle = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\nauthors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},\nbooktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\nyear={2020}\n}\n", "homepage": "https://www.indobenchmark.com/", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "fuel": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "machine": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "others": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "part": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "price": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "service": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "indonlu", "config_name": "casa", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 110415, "num_examples": 810, "dataset_name": "indonlu"}, "validation": {"name": "validation", "num_bytes": 11993, "num_examples": 90, "dataset_name": "indonlu"}, "test": {"name": "test", "num_bytes": 23553, "num_examples": 180, "dataset_name": "indonlu"}}, "download_checksums": {"https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/casa_absa-prosa/train_preprocess.csv": {"num_bytes": 109756, "checksum": "ffd2a88edf5e270cea79ad84d2ca4170c9a2fd71a38540280d5eb3b95d261f76"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/casa_absa-prosa/valid_preprocess.csv": {"num_bytes": 11952, "checksum": "4ea114d060796e59944b1cf7f0ad7950bd0532024348a17d0f7c6b6464328424"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/casa_absa-prosa/test_preprocess_masked_label.csv": {"num_bytes": 23195, "checksum": "9732fbd03cad76753a7bd237d1e17c979003b92b6b04730583d7d1e11796dd81"}}, "download_size": 144903, "post_processing_size": null, "dataset_size": 145961, "size_in_bytes": 290864}, "hoasa": {"description": "An aspect-based sentiment analysis dataset consisting of hotel reviews collected from the hotel\naggregator platform, AiryRooms (Azhar et al., 2019). The dataset covers ten different aspects of\nhotel quality. Each review is labeled with a single sentiment label for each aspect. There are\nfour possible sentiment classes for each sentiment label: positive, negative, neutral, and\npositive-negative. The positivenegative label is given to a review that contains multiple sentiments\nof the same aspect but for different objects (e.g., cleanliness of bed and toilet).", "citation": "@inproceedings{azhar2019multi,\n  title={Multi-label Aspect Categorization with Convolutional Neural Networks and Extreme Gradient Boosting},\n  author={A. N. Azhar, M. L. Khodra, and A. P. Sutiono}\n  booktitle={Proceedings of the 2019 International Conference on Electrical Engineering and Informatics (ICEEI)},\n  pages={35--40},\n  year={2019}\n}\n@inproceedings{wilie2020indonlu,\ntitle = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\nauthors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},\nbooktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\nyear={2020}\n}\n", "homepage": "https://www.indobenchmark.com/", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "ac": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "air_panas": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "bau": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "general": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "kebersihan": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "linen": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "service": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "sunrise_meal": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "tv": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "wifi": {"num_classes": 4, "names": ["neg", "neut", "pos", "neg_pos"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "indonlu", "config_name": "hoasa", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 458177, "num_examples": 2283, "dataset_name": "indonlu"}, "validation": {"name": "validation", "num_bytes": 58248, "num_examples": 285, "dataset_name": "indonlu"}, "test": {"name": "test", "num_bytes": 56399, "num_examples": 286, "dataset_name": "indonlu"}}, "download_checksums": {"https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/hoasa_absa-airy/train_preprocess.csv": {"num_bytes": 381239, "checksum": "752935b62235f1a719c5e526e4ac68b3ba452f84a2a6f911ef20cb855b23546d"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/hoasa_absa-airy/valid_preprocess.csv": {"num_bytes": 48696, "checksum": "7109001762f0bd83526d3de224c0ba5302bfb781eee6c1334aac8039a188f4fa"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/hoasa_absa-airy/test_preprocess_masked_label.csv": {"num_bytes": 47379, "checksum": "92f8a0d9e9ceec02a3340444b4b79a4f606d27f7dbe5867150d34a8ca7634e09"}}, "download_size": 477314, "post_processing_size": null, "dataset_size": 572824, "size_in_bytes": 1050138}, "wrete": {"description": "The Wiki Revision Edits Textual Entailment dataset (Setya and Mahendra, 2018) consists of 450 sentence pairs\nconstructed from Wikipedia revision history. The dataset contains pairs of sentences and binary semantic\nrelations between the pairs. The data are labeled as entailed when the meaning of the second sentence can be\nderived from the first one, and not entailed otherwise.", "citation": "@inproceedings{setya2018semi,\n  title={Semi-supervised Textual Entailment on Indonesian Wikipedia Data},\n  author={Ken Nabila Setya and Rahmad Mahendra},\n  booktitle={Proceedings of the 2018 International Conference on Computational Linguistics and Intelligent Text Processing (CICLing)},\n  year={2018}\n}\n@inproceedings{wilie2020indonlu,\ntitle = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\nauthors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},\nbooktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\nyear={2020}\n}\n", "homepage": "https://www.indobenchmark.com/", "license": "", "features": {"premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "category": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["NotEntail", "Entail_or_Paraphrase"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "indonlu", "config_name": "wrete", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 99999, "num_examples": 300, "dataset_name": "indonlu"}, "validation": {"name": "validation", "num_bytes": 18049, "num_examples": 50, "dataset_name": "indonlu"}, "test": {"name": "test", "num_bytes": 32617, "num_examples": 100, "dataset_name": "indonlu"}}, "download_checksums": {"https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/wrete_entailment-ui/train_preprocess.csv": {"num_bytes": 100641, "checksum": "e135a85dad098127da179e305ebf0a1af63bc0cf06fdf79392293964d2920af3"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/wrete_entailment-ui/valid_preprocess.csv": {"num_bytes": 18191, "checksum": "623d0dc1389c37af6482277a05702329bddee96b73849f7341f9c5b269a55286"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/wrete_entailment-ui/test_preprocess_masked_label.csv": {"num_bytes": 32186, "checksum": "075a0de3a327546f04d83f345faffc45b4d2788ad7c3a2fdb11c23c29afba5a6"}}, "download_size": 151018, "post_processing_size": null, "dataset_size": 150665, "size_in_bytes": 301683}, "posp": {"description": "This Indonesian part-of-speech tagging (POS) dataset (Hoesen and Purwarianti, 2018) is collected from Indonesian\nnews websites. The dataset consists of around 8000 sentences with 26 POS tags. The POS tag labels follow the\nIndonesian Association of Computational Linguistics (INACL) POS Tagging Convention.", "citation": "@inproceedings{hoesen2018investigating,\n  title={Investigating Bi-LSTM and CRF with POS Tag Embedding for Indonesian Named Entity Tagger},\n  author={Devin Hoesen and Ayu Purwarianti},\n  booktitle={Proceedings of the 2018 International Conference on Asian Language Processing (IALP)},\n  pages={35--38},\n  year={2018},\n  organization={IEEE}\n}\n@inproceedings{wilie2020indonlu,\ntitle = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\nauthors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},\nbooktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\nyear={2020}\n}\n", "homepage": "https://www.indobenchmark.com/", "license": "", "features": {"tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"num_classes": 26, "names": ["B-PPO", "B-KUA", "B-ADV", "B-PRN", "B-VBI", "B-PAR", "B-VBP", "B-NNP", "B-UNS", "B-VBT", "B-VBL", "B-NNO", "B-ADJ", "B-PRR", "B-PRK", "B-CCN", "B-$$$", "B-ADK", "B-ART", "B-CSN", "B-NUM", "B-SYM", "B-INT", "B-NEG", "B-PRI", "B-VBE"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "indonlu", "config_name": "posp", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2751348, "num_examples": 6720, "dataset_name": "indonlu"}, "validation": {"name": "validation", "num_bytes": 343924, "num_examples": 840, "dataset_name": "indonlu"}, "test": {"name": "test", "num_bytes": 350720, "num_examples": 840, "dataset_name": "indonlu"}}, "download_checksums": {"https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/posp_pos-prosa/train_preprocess.txt": {"num_bytes": 1922251, "checksum": "667d16f7e3e424fc1bf3d1aff8d99a0045ff07ca382c467f612d9ddc420803a1"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/posp_pos-prosa/valid_preprocess.txt": {"num_bytes": 239887, "checksum": "9af8289324391466c282132a8b47323b38e84daa3f0dd9b0d972da0a9f0970a9"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/posp_pos-prosa/test_preprocess_masked_label.txt": {"num_bytes": 245068, "checksum": "d120967bc7eaba5db88654902e2958af1ae7121e6a55b396e639cb8cf1d330d0"}}, "download_size": 2407206, "post_processing_size": null, "dataset_size": 3445992, "size_in_bytes": 5853198}, "bapos": {"description": "This POS tagging dataset (Dinakaramani et al., 2014) contains about 1000 sentences, collected from the PAN Localization\nProject. In this dataset, each word is tagged by one of 23 POS tag classes. Data splitting used in this benchmark follows\nthe experimental setting used by Kurniawan and Aji (2018)", "citation": "@inproceedings{dinakaramani2014designing,\n  title={Designing an Indonesian Part of Speech Tagset and Manually Tagged Indonesian Corpus},\n  author={Arawinda Dinakaramani, Fam Rashel, Andry Luthfi, and Ruli Manurung},\n  booktitle={Proceedings of the 2014 International Conference on Asian Language Processing (IALP)},\n  pages={66--69},\n  year={2014},\n  organization={IEEE}\n}\n@inproceedings{kurniawan2019toward,\n  title={Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging},\n  author={Kemal Kurniawan and Alham Fikri Aji},\n  booktitle={Proceedings of the 2018 International Conference on Asian Language Processing (IALP)},\n  pages={303--307},\n  year={2018},\n  organization={IEEE}\n}\n@inproceedings{wilie2020indonlu,\ntitle = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\nauthors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},\nbooktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\nyear={2020}\n}\n", "homepage": "https://www.indobenchmark.com/", "license": "", "features": {"tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"num_classes": 41, "names": ["B-PR", "B-CD", "I-PR", "B-SYM", "B-JJ", "B-DT", "I-UH", "I-NND", "B-SC", "I-WH", "I-IN", "I-NNP", "I-VB", "B-IN", "B-NND", "I-CD", "I-JJ", "I-X", "B-OD", "B-RP", "B-RB", "B-NNP", "I-RB", "I-Z", "B-CC", "B-NEG", "B-VB", "B-NN", "B-MD", "B-UH", "I-NN", "B-PRP", "I-SC", "B-Z", "I-PRP", "I-OD", "I-SYM", "B-WH", "B-FW", "I-CC", "B-X"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "indonlu", "config_name": "bapos", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3772459, "num_examples": 8000, "dataset_name": "indonlu"}, "validation": {"name": "validation", "num_bytes": 460058, "num_examples": 1000, "dataset_name": "indonlu"}, "test": {"name": "test", "num_bytes": 474368, "num_examples": 1029, "dataset_name": "indonlu"}}, "download_checksums": {"https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/bapos_pos-idn/train_preprocess.txt": {"num_bytes": 2450176, "checksum": "260f0808b494335c77b5475348e016d7b64fdea1fbd07b45a232b84bc3c300b4"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/bapos_pos-idn/valid_preprocess.txt": {"num_bytes": 300182, "checksum": "599eebd10e01eaa452625939ff022c527abebedac4a91e84cddfa57abccc3a12"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/bapos_pos-idn/test_preprocess_masked_label.txt": {"num_bytes": 333663, "checksum": "7dfabd5e212483677e17dceec50d0cd9854a206a7a6e3f99168b446ee2eff5e6"}}, "download_size": 3084021, "post_processing_size": null, "dataset_size": 4706885, "size_in_bytes": 7790906}, "terma": {"description": "This span-extraction dataset is collected from the hotel aggregator platform, AiryRooms (Septiandri and Sutiono, 2019;\nFernando et al., 2019). The dataset consists of thousands of hotel reviews, which each contain a span label for aspect\nand sentiment words representing the opinion of the reviewer on the corresponding aspect. The labels use\nInside-Outside-Beginning (IOB) tagging representation with two kinds of tags, aspect and sentiment.", "citation": "@article{winatmoko2019aspect,\n  title={Aspect and Opinion Term Extraction for Hotel Reviews Using Transfer Learning and Auxiliary Labels},\n  author={Yosef Ardhito Winatmoko, Ali Akbar Septiandri, Arie Pratama Sutiono},\n  journal={arXiv preprint arXiv:1909.11879},\n  year={2019}\n}\n@article{fernando2019aspect,\n  title={Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews},\n  author={Jordhy Fernando, Masayu Leylia Khodra, Ali Akbar Septiandri},\n  journal={arXiv preprint arXiv:1908.04899},\n  year={2019}\n}\n@inproceedings{wilie2020indonlu,\ntitle = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\nauthors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. 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