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The dataset generation failed
Error code: DatasetGenerationError Exception: ArrowNotImplementedError Message: Cannot write struct type 'json_schema' with no child field to Parquet. Consider adding a dummy child field. Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 583, in write_table self._build_writer(inferred_schema=pa_table.schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer self.pa_writer = self._WRITER_CLASS(self.stream, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__ self.writer = _parquet.ParquetWriter( File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__ File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'json_schema' with no child field to Parquet. Consider adding a dummy child field. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2029, in _prepare_split_single num_examples, num_bytes = writer.finalize() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 602, in finalize self._build_writer(self.schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer self.pa_writer = self._WRITER_CLASS(self.stream, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__ self.writer = _parquet.ParquetWriter( File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__ File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'json_schema' with no child field to Parquet. Consider adding a dummy child field. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1396, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1045, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1884, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2040, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
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temp
float64 | temperature_last
bool | top_p
float64 | top_k
int64 | top_a
int64 | tfs
int64 | epsilon_cutoff
int64 | eta_cutoff
int64 | typical_p
int64 | min_p
float64 | rep_pen
int64 | rep_pen_range
int64 | rep_pen_decay
int64 | rep_pen_slope
int64 | no_repeat_ngram_size
int64 | penalty_alpha
int64 | num_beams
int64 | length_penalty
int64 | min_length
int64 | encoder_rep_pen
int64 | freq_pen
int64 | presence_pen
int64 | skew
int64 | do_sample
bool | early_stopping
bool | dynatemp
bool | min_temp
int64 | max_temp
int64 | dynatemp_exponent
int64 | smoothing_factor
int64 | smoothing_curve
int64 | dry_allowed_length
int64 | dry_multiplier
float64 | dry_base
float64 | dry_sequence_breakers
string | dry_penalty_last_n
int64 | add_bos_token
bool | ban_eos_token
bool | skip_special_tokens
bool | mirostat_mode
int64 | mirostat_tau
int64 | mirostat_eta
float64 | guidance_scale
int64 | negative_prompt
string | grammar_string
string | json_schema
dict | banned_tokens
string | sampler_priority
sequence | samplers
sequence | ignore_eos_token
bool | spaces_between_special_tokens
bool | speculative_ngram
bool | sampler_order
sequence | logit_bias
sequence | ignore_eos_token_aphrodite
bool | spaces_between_special_tokens_aphrodite
bool | rep_pen_size
int64 | genamt
int64 | max_length
int64 | story_string
string | example_separator
string | chat_start
string | use_stop_strings
bool | allow_jailbreak
bool | names_as_stop_strings
bool | always_force_name2
bool | trim_sentences
bool | include_newline
bool | single_line
bool | name
string | system_prompt
string | input_sequence
string | output_sequence
string | last_output_sequence
string | system_sequence
string | stop_sequence
string | wrap
bool | macro
bool | names
bool | names_force_groups
bool | activation_regex
string | system_sequence_prefix
string | system_sequence_suffix
string | first_output_sequence
string | skip_examples
bool | output_suffix
string | input_suffix
string | system_suffix
string | user_alignment_message
string | system_same_as_user
bool | last_system_sequence
string | first_input_sequence
string | last_input_sequence
string | entries
dict |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.7 | true | 0.9 | 40 | 0 | 1 | 0 | 0 | 1 | 0.01 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | true | false | false | 0 | 2 | 1 | 0 | 1 | 2 | 0.8 | 1.75 | ["\n", ":", "\"", "*"] | 2,048 | true | false | true | 0 | 5 | 0.1 | 1 | {} | [
"temperature",
"dynamic_temperature",
"quadratic_sampling",
"top_k",
"top_p",
"typical_p",
"epsilon_cutoff",
"eta_cutoff",
"tfs",
"top_a",
"min_p",
"mirostat"
] | [
"top_k",
"tfs_z",
"typical_p",
"top_p",
"min_p",
"temperature"
] | false | true | false | [
6,
0,
1,
3,
4,
2,
5
] | [] | false | true | 0 | 250 | 8,064 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
|||
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | <|im_start|>system
{{#if system}}{{system}}{{else}}
You are an intelligent, skilled, versatile writer. Your task is to write a never-ending erotic story based on the information below. {{user}} is the protagonist of the story, additional characters may be described below. Write from {{user}}'s perspective in first person view, using present tense.
{{/if}}
{{#if wiBefore}}{{wiBefore}}
{{/if}}
{{#if scenario}}## Overall plot description: {{scenario}}
{{/if}}
## Characters:
{{#if description}}{{description}}
{{/if}}{{#if personality}}{{personality}}
{{/if}}
{{#if persona}}{{persona}}{{else}}{{user}} is the protagonist of the story.{{/if}}{{#if wiAfter}}
{{wiAfter}}{{/if}}
{{#if mesExamples}}
{{mesExamples}}{{/if}} | false | false | true | false | true | false | false | my Story | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
||
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | myStory++ | You are an intelligent, skilled, creative and versatile writer of a uncensored novel, based on the information below. Never end a scene, instead use a slow pace for plot progression to draw out the scene. Be descriptive and focus on relevant plot details. Responses should be influenced by goals and context. Include thoughts on the current situation as part of your response. Bad emotions are also allowed, like depression, doubt and despair. Give the NPCs some emotional depth and develop their character. Let your description be very immersive for the reader. |
<|im_start|>text names= {{name}}
|
<|im_start|>text names= {{name}}
|
<|im_start|> | false | true | false | false | false | <|im_end|> | <|im_end|> | true | null |
|||||||||||
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | {
"0": {
"uid": 0,
"key": [],
"keysecondary": [],
"comment": "person",
"content": "{{char}} is the main protagonist of the novel. Your response should be in {{char}}'s first-person perspective and in present tense. You also describe the NPCs in this story, and their behavior, from {{char}}'s perspective. Build the story very immersive for {{char}}.",
"constant": true,
"vectorized": false,
"selective": true,
"selectiveLogic": 0,
"addMemo": true,
"order": 10,
"position": 0,
"disable": false,
"excludeRecursion": true,
"preventRecursion": true,
"delayUntilRecursion": false,
"probability": 100,
"useProbability": true,
"depth": 4,
"group": "",
"groupOverride": false,
"groupWeight": 100,
"scanDepth": null,
"caseSensitive": null,
"matchWholeWords": null,
"useGroupScoring": null,
"automationId": "",
"role": null,
"sticky": 0,
"cooldown": 0,
"delay": 0,
"displayIndex": 0
}
} |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | {
"0": {
"uid": 0,
"key": [
"3rd"
],
"keysecondary": [],
"comment": "3rd",
"content": "{{user}} and {{char}} are are the main protagonists of the story. Your response should be in a third-person perspective and in present tense, addressing {{user}} directly using 'you'. Refrain from acting for, speaking for, or describing the thoughts of {{user}}.",
"constant": true,
"vectorized": false,
"selective": true,
"selectiveLogic": 0,
"addMemo": true,
"order": 10,
"position": 0,
"disable": false,
"excludeRecursion": true,
"preventRecursion": true,
"delayUntilRecursion": false,
"probability": 100,
"useProbability": true,
"depth": 4,
"group": "",
"groupOverride": false,
"groupWeight": 100,
"scanDepth": null,
"caseSensitive": null,
"matchWholeWords": null,
"useGroupScoring": null,
"automationId": "",
"role": null,
"sticky": 0,
"cooldown": 0,
"delay": 0,
"displayIndex": 0
}
} |
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