The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    DatasetGenerationError
Message:      An error occurred while generating the dataset
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 1016, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 1869, 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 1016, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 1869, 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 1321, 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 935, 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", "feat_Resolutions", "feat_Response", "feat_Responsibilities", "feat_Revenge or Retribution", "feat_Rivalries or Conflicts", "feat_Role", "feat_Role or Occupation", "feat_Romantic Ideals", "feat_Romantic Relationships", "feat_Romantic Status", "feat_Romantic Tension or Conflict", "feat_Romantic Tensions", "feat_Rumors or Gossip", "feat_Secrets", "feat_Self-Perception", "feat_Self-Reflection", "feat_Senses", "feat_Sensory Experiences", "feat_Sentence Structure", "feat_Sentiment", "feat_Sentiment Towards Technology", "feat_Sentiment Towards the Topic", "feat_Setting", "feat_Sexual Orientation", "feat_Sexuality", "feat_Siblings", "feat_Skills & Talents", "feat_Skills_&_Abilities", "feat_Societal Norms or Expectations", "feat_Societal Norms or Pressures", "feat_Socioeconomic Status", "feat_Speech & Dialogue", "feat_Speech Characteristics", "feat_Stance on Controversial Issues", "feat_Statements", "feat_Statements of Belief", "feat_Status", "feat_Stereotypes & Bias", "feat_Strengths", "feat_Subject", "feat_Subjective Opinions", "feat_Symbols or Motifs", "feat_Temptations", "feat_Themes", "feat_Things That Make Them Happy", "feat_Thoughts", "feat_Thoughts and Inner Monologues", "feat_Thoughts and Opinions", "feat_Thoughts and Prayers", "feat_Time", "feat_Time Period", "feat_Time Phrases", "feat_Timeframe", "feat_Tone & Attitude", "feat_Tone & Mood", "feat_Tone&Style", "feat_Traits", "feat_Transportation", "feat_Unnamed: 0", "feat_Unnamed: 0.1", "feat_Virtues", "feat_Weather", "feat_What They Do", "feat_What They Fear Most", "feat_What They're Avoiding", "feat_What they want", "feat_Wishes or Aspirations", "feat_Worries or Anxieties", "feat_assumptions_made", "feat_context", "feat_emotional_state", "feat_external_appearances", "feat_familial_roles", "feat_familial_status", "feat_fashion_style", "feat_fear_or_phobia", "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