Datasets:
Tasks:
Summarization
Languages:
English
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Error code: DatasetGenerationError Exception: ArrowNotImplementedError Message: Cannot write struct type '_format_kwargs' 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 2011, 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 '_format_kwargs' 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 2027, 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 '_format_kwargs' 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 1529, 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 1154, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2038, 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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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _output_all_columns
bool | _split
null |
---|---|---|---|---|---|---|
[
{
"filename": "data-00000-of-00001.arrow"
}
] | c30be82a03b5beb8 | [
"feat_, \"Weight",
"feat_Academic and Career Goals",
"feat_Academic and Professional Background",
"feat_Action",
"feat_Action Taken",
"feat_Action Tendencies",
"feat_Advice",
"feat_Advice Taken",
"feat_Affiliations",
"feat_Afraid of",
"feat_Age",
"feat_Ailments & Health Conditions",
"feat_Animal",
"feat_Answer",
"feat_Apology Languages",
"feat_Appearance",
"feat_Attributes",
"feat_Background",
"feat_Background and History",
"feat_Backstory",
"feat_Bad Habits or Flaws",
"feat_Behavior",
"feat_Biological Sex",
"feat_Body",
"feat_Body Language",
"feat_Body_Parts",
"feat_Career",
"feat_Cause of Death",
"feat_Chapter",
"feat_Childhood Memories",
"feat_Children",
"feat_Circumstances of Death",
"feat_Clothing",
"feat_Clothing & Accessories",
"feat_Clothing or Fashion",
"feat_Compliments Received",
"feat_Conflicts",
"feat_Content Preferences",
"feat_Content_Tone",
"feat_Contentment",
"feat_Contexts and Backgrounds",
"feat_Cultural Background",
"feat_Cultural Norms",
"feat_Cultural Practices",
"feat_Cultural Practices or Traditions",
"feat_Current Location",
"feat_Daily Routine",
"feat_Decision-Making Process",
"feat_Description",
"feat_Dietary Restrictions or Choices",
"feat_Direct Address",
"feat_Dreams",
"feat_Education",
"feat_Emotions",
"feat_Emotions Expressed",
"feat_Empathy Statements",
"feat_Employment",
"feat_Enneagram Type",
"feat_Ethnicity",
"feat_Events",
"feat_External Challenges or Obstacles",
"feat_External Conflicts",
"feat_External Factors Impacting the User",
"feat_External Pressures",
"feat_External Pressures or Influences",
"feat_ExternalFacts",
"feat_Eye Color",
"feat_Fact",
"feat_Factual Information",
"feat_Familial Duties and Conflicts",
"feat_Familial Relationships",
"feat_Family",
"feat_Fear or Desire for Change",
"feat_FearOrWorry",
"feat_Fears",
"feat_Fears & Anxieties",
"feat_Fears & Phobias",
"feat_Fears & Worries",
"feat_Feelings",
"feat_Feelings Toward School",
"feat_Feelings of the Speaker",
"feat_Financial",
"feat_Financial Status",
"feat_Flaws",
"feat_Food Preferences",
"feat_Friendships",
"feat_Friendships and Alliances",
"feat_Friendships_and_Relationships",
"feat_Gender",
"feat_General Sentiment",
"feat_Goals",
"feat_Goals and Aspirations",
"feat_Gratitude Expressed",
"feat_Gratitude Journals",
"feat_Grief or Emotional Pain",
"feat_Guilt",
"feat_Habits or Tendencies",
"feat_Hair Color",
"feat_Hobbies",
"feat_Hobbies or Interests",
"feat_Hobbies or Pastimes",
"feat_Home Life",
"feat_Hopes and Dreams",
"feat_Insecurities",
"feat_Instructions or Directions",
"feat_Job",
"feat_Job Titles",
"feat_Knowledge & Education",
"feat_Knowledge or Skills",
"feat_Lifestyle",
"feat_Lifestyle Choices",
"feat_Lifestyle and Social Status",
"feat_Likes",
"feat_Likes and Dislikes",
"feat_Location",
"feat_Love Interests",
"feat_Major Life Events",
"feat_Manner of Speaking",
"feat_Mannerisms",
"feat_Marital Status",
"feat_Medical Conditions",
"feat_Mental Health",
"feat_Mental and Emotional Health",
"feat_Mental or Emotional States",
"feat_Moral Dilemmas",
"feat_Moral Values",
"feat_Moral and Ethical Considerations",
"feat_Moral or Ethical Dilemmas",
"feat_Morals",
"feat_Motivations",
"feat_Names",
"feat_Nationality",
"feat_Negative Emotions",
"feat_Negative Traits",
"feat_Nickname",
"feat_Nicknames or Aliases",
"feat_No\", \"Mental or Physical Disabilities",
"feat_No\", \"Names",
"feat_Obligations and Responsibilities",
"feat_Occupation",
"feat_Opinions",
"feat_Opinions About Controversial Topics",
"feat_Origin",
"feat_Other Feelings",
"feat_Outfit",
"feat_Parenting",
"feat_Passions or Interests",
"feat_Past Experiences Influencing Actions",
"feat_Past Medical History",
"feat_PastTenseVerbs",
"feat_Person",
"feat_Personal Accomplishments",
"feat_Personal Beliefs and Values",
"feat_Personal Challenges",
"feat_Personal Feelings",
"feat_Personal History",
"feat_Personal Interests",
"feat_Personal Motivations",
"feat_Personal Motto or Philosophy",
"feat_Personal Names",
"feat_Personal Philosophies",
"feat_Personal Philosophies and Weltanschauungen",
"feat_Personal Possessions",
"feat_Personal Relationships",
"feat_Personal Sacrifices",
"feat_Personal Struggles",
"feat_Personal Tastes or Preferences",
"feat_Personality Traits",
"feat_Pets",
"feat_Phobias",
"feat_Phrase",
"feat_Physical Appearance",
"feat_Physical Characteristics",
"feat_Physical Health",
"feat_Physical Sensations",
"feat_Physical Symptoms",
"feat_Physical Traits",
"feat_Physical_Pain_or_Illness",
"feat_Plans and Intentions",
"feat_Political Affiliation",
"feat_Political Views",
"feat_Position or Job Title",
"feat_Positive Experiences",
"feat_Positive Traits",
"feat_Prejudices or Biases",
"feat_Priorities",
"feat_Profession",
"feat_Psychological Disorders",
"feat_Psychological Traits",
"feat_Question or Hypothesis",
"feat_Question or Prompt",
"feat_Question or query",
"feat_Quirks",
"feat_Quotes",
"feat_Racial or Ethnic Identity",
"feat_Reaction",
"feat_Reaction to Conflict",
"feat_Reasons for Action",
"feat_Reasons for Feelings",
"feat_Regrets",
"feat_Relationships",
"feat_Relationships and Family",
"feat_Religious Beliefs and Practices",
"feat_Religious Views",
"feat_Request",
"feat_Requests or Directions",
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"feat_Revenge or Retribution",
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"feat_Romantic Status",
"feat_Romantic Tension or Conflict",
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"feat_Rumors or Gossip",
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"feat_Tone&Style",
"feat_Traits",
"feat_Transportation",
"feat_Unnamed: 0",
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"feat_Virtues",
"feat_Weather",
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"feat_What They Fear Most",
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"feat_familial_roles",
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"feat_fashion_style",
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"feat_hair_color",
"feat_hairstyle",
"feat_home_town",
"feat_past_experience",
"feat_past_experiences_impacting_actions",
"feat_past_tense_verbs",
"feat_pastimes_hobbies",
"feat_question",
"feat_sentiment_score",
"feat_sentiments_expressed",
"feat_skills",
"feat_tactics_or_strategies",
"feat_thoughts_and_feelings",
"feat_tone",
"feat_tone_attitude",
"feat_voice",
"target",
"text"
] | {} | null | false | null |
AutoTrain Dataset for project: big
Dataset Description
This dataset has been automatically processed by AutoTrain for project big.
Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"feat_Unnamed: 0.1": 4865,
"feat_Unnamed: 0": 754,
"target": "\"Names\": \"Aidan\", \"Physical Appearance\": \"Tall and lanky build\", \"Location\": \"A lively street filled with buskers\", \"Romantic Relationships\": \"Happily committed to Taylor\", \"Sexuality\": \"Heterosexual\", \"Personality Traits\": \"Meticulous\", \"Secrets\": \"Holds the key to a valuable treasure\", \"Physical Appearance\": \"Tall and lanky build\", \"Skills & Talents\": \"Talent for creating memorable experiences\", \"Hobbies or Interests\": \"Playing board games\", \"Motivations\": \"Search for personal identity\", \"Flaws\": \"Excessive pride leading to underestimating others\", \"Personality Traits\": \"Innovative\", \"Familial Relationships\": \"Eleanor (grandmother)\", \"Personal Beliefs and Values\": \"Commitment to promoting equality and inclusion for all\", \"Tone & Mood\": \"Playful teasing among friends\", \"Political Views\": \"Total apathy toward politics\", \"Hobbies or Interests\": \"Playing board games\", \"Fear or Desire for Change\": \"Desire for stability and routine\", \"Motivations\": \"Quest for personal identity\", \"Personality Traits\": \"Introverted\"",
"feat_Names": "Aidan",
"feat_Personality Traits": "Introverted",
"feat_Motivations": "Quest for personal identity",
"feat_Action": null,
"feat_Feelings": null,
"feat_Tone & Mood": "Playful teasing among friends",
"feat_Friendships and Alliances": null,
"feat_Pets": null,
"feat_Romantic Relationships": "Happily committed to Taylor",
"feat_Familial Relationships": "Eleanor (grandmother)",
"feat_Location": "A lively street filled with buskers",
"feat_Action Taken": null,
"feat_Personal Beliefs and Values": "Commitment to promoting equality and inclusion for all",
"feat_Socioeconomic Status": null,
"feat_Hobbies or Interests": "Playing board games",
"feat_Physical Appearance": "Tall and lanky build",
"feat_Skills & Talents": "Talent for creating memorable experiences",
"feat_Fear or Desire for Change": "Desire for stability and routine",
"feat_Family": null,
"feat_Background and History": null,
"feat_Goals and Aspirations": null,
"feat_Thoughts and Inner Monologues": null,
"feat_External Pressures or Influences": null,
"feat_Flaws": "Excessive pride leading to underestimating others",
"feat_hairstyle": null,
"feat_Thoughts": null,
"feat_Status": null,
"feat_Past Experiences Influencing Actions": null,
"feat_Phrase": null,
"feat_, \"Weight": null,
"feat_Rivalries or Conflicts": null,
"feat_Marital Status": null,
"feat_Weather": null,
"feat_Reasons for Feelings": null,
"feat_Cultural Practices": null,
"feat_Moral or Ethical Dilemmas": null,
"feat_Political Views": "Total apathy toward politics",
"feat_Mental or Emotional States": null,
"feat_Age": null,
"feat_Medical Conditions": null,
"feat_Contentment": null,
"feat_Personal Interests": null,
"feat_Clothing": null,
"feat_Secrets": "Holds the key to a valuable treasure",
"feat_Background": null,
"feat_Cultural Practices or Traditions": null,
"feat_Personal Feelings": null,
"feat_Parenting": null,
"feat_Goals": null,
"feat_Reaction": null,
"feat_Fears": null,
"feat_Physical Characteristics": null,
"feat_Gender": null,
"feat_Mental Health": null,
"feat_Knowledge & Education": null,
"feat_Fears & Anxieties": null,
"feat_Political Affiliation": null,
"feat_Romantic Status": null,
"feat_Friendships": null,
"feat_Gratitude Expressed": null,
"feat_Morals": null,
"feat_Personal Possessions": null,
"feat_Wishes or Aspirations": null,
"feat_Academic and Career Goals": null,
"feat_Financial Status": null,
"feat_Reasons for Action": null,
"feat_Knowledge or Skills": null,
"feat_Nationality": null,
"feat_Action Tendencies": null,
"feat_Feelings Toward School": null,
"feat_Occupation": null,
"feat_tone_attitude": null,
"feat_emotional_state": null,
"feat_pastimes_hobbies": null,
"feat_Quotes": null,
"feat_tone": null,
"feat_question": null,
"feat_Content_Tone": null,
"feat_Past Medical History": null,
"feat_Clothing or Fashion": null,
"feat_Clothing & Accessories": null,
"feat_Personal Challenges": null,
"feat_Eye Color": null,
"feat_Physical Sensations": null,
"feat_Siblings": null,
"feat_Speech & Dialogue": null,
"feat_Relationships": null,
"feat_Regrets": null,
"feat_Time Period": null,
"feat_Factual Information": null,
"feat_Moral Dilemmas": null,
"feat_Personal Struggles": null,
"feat_Mental and Emotional Health": null,
"feat_Phobias": null,
"feat_FearOrWorry": null,
"feat_Personal Motivations": null,
"feat_Religious Beliefs and Practices": null,
"feat_Thoughts and Opinions": null,
"feat_Romantic Tensions": null,
"feat_Current Location": null,
"feat_Fears & Worries": null,
"feat_Career": null,
"feat_External Pressures": null,
"feat_Sexual Orientation": null,
"feat_Role or Occupation": null,
"feat_Friendships_and_Relationships": null,
"feat_Opinions": null,
"feat_Appearance": null,
"feat_Likes": null,
"feat_Resolutions": null,
"feat_Tone & Attitude": null,
"feat_Instructions or Directions": null,
"feat_Position or Job Title": null,
"feat_assumptions_made": null,
"feat_Animal": null,
"feat_Manner of Speaking": null,
"feat_Self-Perception": null,
"feat_Subjective Opinions": null,
"feat_Statements of Belief": null,
"feat_Responsibilities": null,
"feat_Personal Sacrifices": null,
"feat_Academic and Professional Background": null,
"feat_Cultural Background": null,
"feat_past_experiences_impacting_actions": null,
"feat_ExternalFacts": null,
"feat_Statements": null,
"feat_No\", \"Names": null,
"feat_Self-Reflection": null,
"feat_Fact": null,
"feat_Empathy Statements": null,
"feat_Hobbies or Pastimes": null,
"feat_Moral and Ethical Considerations": null,
"feat_Personal Tastes or Preferences": null,
"feat_Subject": null,
"feat_Lifestyle Choices": null,
"feat_Sensory Experiences": null,
"feat_Personal History": null,
"feat_Physical Health": null,
"feat_Temptations": null,
"feat_Home Life": null,
"feat_What They're Avoiding": null,
"feat_Hobbies": null,
"feat_Speech Characteristics": null,
"feat_What They Do": null,
"feat_Personal Relationships": null,
"feat_What They Fear Most": null,
"feat_Psychological Disorders": null,
"feat_Ethnicity": null,
"feat_Romantic Ideals": null,
"feat_Ailments & Health Conditions": null,
"feat_Education": null,
"feat_Sentence Structure": null,
"feat_Likes and Dislikes": null,
"feat_Profession": null,
"feat_Advice": null,
"feat_Habits or Tendencies": null,
"feat_Bad Habits or Flaws": null,
"feat_Personal Motto or Philosophy": null,
"feat_Quirks": null,
"feat_Prejudices or Biases": null,
"feat_Grief or Emotional Pain": null,
"feat_past_tense_verbs": null,
"feat_sentiments_expressed": null,
"feat_Lifestyle": null,
"feat_Stereotypes & Bias": null,
"feat_Cultural Norms": null,
"feat_Childhood Memories": null,
"feat_Cause of Death": null,
"feat_fear_or_phobia": null,
"feat_thoughts_and_feelings": null,
"feat_Stance on Controversial Issues": null,
"feat_Job": null,
"text": "`` i never said i did n't want you two to get to know each other-i said i did n't want you using him for a fling . ''",
"feat_context": null,
"feat_hair_color": null,
"feat_fashion_style": null,
"feat_Requests or Directions": null,
"feat_Religious Views": null,
"feat_Conflicts": null,
"feat_Guilt": null,
"feat_Person": null,
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"feat_Personal Accomplishments": null,
"feat_Backstory": null,
"feat_Circumstances of Death": null,
"feat_Children": null,
"feat_Virtues": null,
"feat_Sentiment Towards the Topic": null,
"feat_Time": null,
"feat_External Factors Impacting the User": null,
"feat_Hair Color": null,
"feat_Financial": null,
"feat_Societal Norms or Pressures": null,
"feat_Hopes and Dreams": null,
"feat_Insecurities": null,
"feat_Emotions Expressed": null,
"feat_Biological Sex": null,
"feat_Body": null,
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"feat_Affiliations": null,
"feat_Negative Traits": null,
"feat_Positive Traits": null,
"feat_Physical Traits": null,
"feat_Reaction to Conflict": null,
"feat_Racial or Ethnic Identity": null,
"feat_Emotions": null,
"feat_Behavior": null,
"feat_External Conflicts": null,
"feat_familial_roles": null,
"feat_Apology Languages": null,
"feat_Worries or Anxieties": null,
"feat_Direct Address": null,
"feat_Enneagram Type": null,
"feat_Employment": null,
"feat_Rumors or Gossip": null,
"feat_Romantic Tension or Conflict": null,
"feat_Personal Philosophies and Weltanschauungen": null,
"feat_Things That Make Them Happy": null,
"feat_Love Interests": null,
"feat_Negative Emotions": null,
"feat_Physical Symptoms": null,
"feat_skills": null,
"feat_Question or Prompt": null,
"feat_Setting": null,
"feat_External Challenges or Obstacles": null,
"feat_Obligations and Responsibilities": null,
"feat_Attributes": null,
"feat_Decision-Making Process": null,
"feat_Thoughts and Prayers": null,
"feat_Feelings of the Speaker": null,
"feat_familial_status": null,
"feat_voice": null,
"feat_Events": null,
"feat_Familial Duties and Conflicts": null,
"feat_Origin": null,
"feat_Sexuality": "Heterosexual",
"feat_Fears & Phobias": null,
"feat_past_experience": null,
"feat_Transportation": null,
"feat_Job Titles": null,
"feat_Personal Philosophies": null,
"feat_Contexts and Backgrounds": null,
"feat_Senses": null,
"feat_Sentiment Towards Technology": null,
"feat_Content Preferences": null,
"feat_Mannerisms": null,
"feat_Gratitude Journals": null,
"feat_Psychological Traits": null,
"feat_Advice Taken": null,
"feat_Answer": null,
"feat_Sentiment": null,
"feat_Personal Names": null,
"feat_Time Phrases": null,
"feat_Nickname": null,
"feat_Role": null,
"feat_Request": null,
"feat_Response": null,
"feat_Physical_Pain_or_Illness": null,
"feat_Body_Parts": null,
"feat_Skills_&_Abilities": null,
"feat_Major Life Events": null,
"feat_Opinions About Controversial Topics": null,
"feat_home_town": null,
"feat_Afraid of": null,
"feat_Food Preferences": null,
"feat_Relationships and Family": null,
"feat_Body Language": null,
"feat_No\", \"Mental or Physical Disabilities": null,
"feat_Other Feelings": null,
"feat_Question or Hypothesis": null,
"feat_PastTenseVerbs": null,
"feat_Dreams": null,
"feat_Dietary Restrictions or Choices": null,
"feat_Plans and Intentions": null,
"feat_Nicknames or Aliases": null,
"feat_Symbols or Motifs": null,
"feat_Passions or Interests": null,
"feat_Description": null,
"feat_Moral Values": null,
"feat_Question or query": null,
"feat_external_appearances": null,
"feat_Themes": null,
"feat_Chapter": null,
"feat_General Sentiment": null,
"feat_Traits": null,
"feat_Tone&Style": null,
"feat_Revenge or Retribution": null,
"feat_Strengths": null,
"feat_What they want": null,
"feat_Priorities": null,
"feat_Compliments Received": null,
"feat_Daily Routine": null,
"feat_Timeframe": null,
"feat_tactics_or_strategies": null,
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"feat_Outfit": null,
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{
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"text": "she spoke to john 's brothers , percy and georgie , before making her way around the room .",
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]
Dataset Fields
The dataset has the following fields (also called "features"):
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"feat_Affiliations": "Value(dtype='string', id=None)",
"feat_Negative Traits": "Value(dtype='string', id=None)",
"feat_Positive Traits": "Value(dtype='string', id=None)",
"feat_Physical Traits": "Value(dtype='string', id=None)",
"feat_Reaction to Conflict": "Value(dtype='string', id=None)",
"feat_Racial or Ethnic Identity": "Value(dtype='string', id=None)",
"feat_Emotions": "Value(dtype='string', id=None)",
"feat_Behavior": "Value(dtype='string', id=None)",
"feat_External Conflicts": "Value(dtype='string', id=None)",
"feat_familial_roles": "Value(dtype='string', id=None)",
"feat_Apology Languages": "Value(dtype='string', id=None)",
"feat_Worries or Anxieties": "Value(dtype='string', id=None)",
"feat_Direct Address": "Value(dtype='string', id=None)",
"feat_Enneagram Type": "Value(dtype='string', id=None)",
"feat_Employment": "Value(dtype='string', id=None)",
"feat_Rumors or Gossip": "Value(dtype='string', id=None)",
"feat_Romantic Tension or Conflict": "Value(dtype='string', id=None)",
"feat_Personal Philosophies and Weltanschauungen": "Value(dtype='string', id=None)",
"feat_Things That Make Them Happy": "Value(dtype='string', id=None)",
"feat_Love Interests": "Value(dtype='string', id=None)",
"feat_Negative Emotions": "Value(dtype='string', id=None)",
"feat_Physical Symptoms": "Value(dtype='string', id=None)",
"feat_skills": "Value(dtype='string', id=None)",
"feat_Question or Prompt": "Value(dtype='string', id=None)",
"feat_Setting": "Value(dtype='string', id=None)",
"feat_External Challenges or Obstacles": "Value(dtype='string', id=None)",
"feat_Obligations and Responsibilities": "Value(dtype='string', id=None)",
"feat_Attributes": "Value(dtype='string', id=None)",
"feat_Decision-Making Process": "Value(dtype='string', id=None)",
"feat_Thoughts and Prayers": "Value(dtype='string', id=None)",
"feat_Feelings of the Speaker": "Value(dtype='string', id=None)",
"feat_familial_status": "Value(dtype='string', id=None)",
"feat_voice": "Value(dtype='string', id=None)",
"feat_Events": "Value(dtype='string', id=None)",
"feat_Familial Duties and Conflicts": "Value(dtype='string', id=None)",
"feat_Origin": "Value(dtype='string', id=None)",
"feat_Sexuality": "Value(dtype='string', id=None)",
"feat_Fears & Phobias": "Value(dtype='string', id=None)",
"feat_past_experience": "Value(dtype='string', id=None)",
"feat_Transportation": "Value(dtype='string', id=None)",
"feat_Job Titles": "Value(dtype='string', id=None)",
"feat_Personal Philosophies": "Value(dtype='string', id=None)",
"feat_Contexts and Backgrounds": "Value(dtype='string', id=None)",
"feat_Senses": "Value(dtype='string', id=None)",
"feat_Sentiment Towards Technology": "Value(dtype='string', id=None)",
"feat_Content Preferences": "Value(dtype='string', id=None)",
"feat_Mannerisms": "Value(dtype='string', id=None)",
"feat_Gratitude Journals": "Value(dtype='string', id=None)",
"feat_Psychological Traits": "Value(dtype='string', id=None)",
"feat_Advice Taken": "Value(dtype='string', id=None)",
"feat_Answer": "Value(dtype='string', id=None)",
"feat_Sentiment": "Value(dtype='string', id=None)",
"feat_Personal Names": "Value(dtype='string', id=None)",
"feat_Time Phrases": "Value(dtype='string', id=None)",
"feat_Nickname": "Value(dtype='string', id=None)",
"feat_Role": "Value(dtype='string', id=None)",
"feat_Request": "Value(dtype='string', id=None)",
"feat_Response": "Value(dtype='string', id=None)",
"feat_Physical_Pain_or_Illness": "Value(dtype='string', id=None)",
"feat_Body_Parts": "Value(dtype='string', id=None)",
"feat_Skills_&_Abilities": "Value(dtype='string', id=None)",
"feat_Major Life Events": "Value(dtype='string', id=None)",
"feat_Opinions About Controversial Topics": "Value(dtype='string', id=None)",
"feat_home_town": "Value(dtype='string', id=None)",
"feat_Afraid of": "Value(dtype='string', id=None)",
"feat_Food Preferences": "Value(dtype='string', id=None)",
"feat_Relationships and Family": "Value(dtype='string', id=None)",
"feat_Body Language": "Value(dtype='string', id=None)",
"feat_No\", \"Mental or Physical Disabilities": "Value(dtype='string', id=None)",
"feat_Other Feelings": "Value(dtype='string', id=None)",
"feat_Question or Hypothesis": "Value(dtype='string', id=None)",
"feat_PastTenseVerbs": "Value(dtype='string', id=None)",
"feat_Dreams": "Value(dtype='string', id=None)",
"feat_Dietary Restrictions or Choices": "Value(dtype='string', id=None)",
"feat_Plans and Intentions": "Value(dtype='string', id=None)",
"feat_Nicknames or Aliases": "Value(dtype='string', id=None)",
"feat_Symbols or Motifs": "Value(dtype='string', id=None)",
"feat_Passions or Interests": "Value(dtype='string', id=None)",
"feat_Description": "Value(dtype='string', id=None)",
"feat_Moral Values": "Value(dtype='string', id=None)",
"feat_Question or query": "Value(dtype='string', id=None)",
"feat_external_appearances": "Value(dtype='string', id=None)",
"feat_Themes": "Value(dtype='string', id=None)",
"feat_Chapter": "Value(dtype='string', id=None)",
"feat_General Sentiment": "Value(dtype='string', id=None)",
"feat_Traits": "Value(dtype='string', id=None)",
"feat_Tone&Style": "Value(dtype='string', id=None)",
"feat_Revenge or Retribution": "Value(dtype='string', id=None)",
"feat_Strengths": "Value(dtype='string', id=None)",
"feat_What they want": "Value(dtype='string', id=None)",
"feat_Priorities": "Value(dtype='string', id=None)",
"feat_Compliments Received": "Value(dtype='string', id=None)",
"feat_Daily Routine": "Value(dtype='string', id=None)",
"feat_Timeframe": "Value(dtype='string', id=None)",
"feat_tactics_or_strategies": "Value(dtype='string', id=None)",
"feat_Societal Norms or Expectations": "Value(dtype='string', id=None)",
"feat_Outfit": "Value(dtype='string', id=None)",
"feat_sentiment_score": "Value(dtype='float64', id=None)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
Split name | Num samples |
---|---|
train | 3958 |
valid | 990 |
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