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ai-law-society-lab

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ftc_paper

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Polaris Lab (Princeton) 17

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 22 new columns ({'method', 'cited_by', 'downloaded_link', 'success', 'extracted_at', 'filename', 'pdf_link', 'authors', 'contents', 'scraped_at', 'snippet_highlighted_words', 'web_position', 'source', 'published_epoch_millis', 'published_date', 'article_link', 'published_epoch_seconds', 'subdomain', 'downloaded_file_path', 'error', 'query', 'snippet'}) and 12 missing columns ({'enforcement_type', 'case_timeline', 'url', 'status', 'case status', 'question', 'docket_number', 'ftc_matter_file_number', 'task', 'last_updated', 'case_summary', 'resolution type'}).

This happened while the json dataset builder was generating data using

hf://datasets/ai-law-society-lab/ftc_paper/ftc_merger_cases/wilhelm-wilhelmsen-drew-marine-in-the-matter-of/metadocuments/Fixitfirst%20remedy%20proposals%20and%20evaluation_web_0.json (at revision f42b5199a16a797564475ee53efb1a4c9cd0cdbd)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              filename: string
              contents: string
              downloaded_link: string
              success: bool
              method: string
              downloaded_file_path: string
              error: string
              scraped_at: timestamp[s]
              title: string
              authors: list<item: null>
                child 0, item: null
              article_link: string
              pdf_link: string
              snippet: string
              snippet_highlighted_words: list<item: string>
                child 0, item: string
              published_date: timestamp[s]
              cited_by: string
              web_position: int64
              subdomain: string
              query: string
              source: string
              extracted_at: timestamp[s]
              published_epoch_seconds: int64
              published_epoch_millis: int64
              to
              {'id': Value('string'), 'url': Value('string'), 'title': Value('string'), 'last_updated': Value('string'), 'status': Value('string'), 'ftc_matter_file_number': Value('string'), 'docket_number': Value('string'), 'enforcement_type': Value('string'), 'case_summary': Value('string'), 'case_timeline': {'June 18, 2014': List({'text': Value('string'), 'url': Value('string')}), 'April 28, 2014': List({'text': Value('string'), 'url': Value('string')}), 'April 21, 2014': List({'text': Value('string'), 'url': Value('string')}), 'April 10, 2014': List({'text': Value('string'), 'url': Value('string')}), 'March 18, 2014': List({'text': Value('string'), 'url': Value('string')}), 'March 10, 2014': List({'text': Value('string'), 'url': Value('string')}), 'February 28, 2014': List({'text': Value('string'), 'url': Value('string')}), 'January 16, 2014': List({'text': Value('string'), 'url': Value('string')}), 'January 10, 2014': List({'text': Value('string'), 'url': Value('string')}), 'December 18, 2013': List({'text': Value('string'), 'url': Value('string')}), 'December 17, 2013': List({'text': Value('string'), 'url': Value('string')}), 'December 16, 2013': List({'text': Value('string'), 'url': Value('string')}), 'December 13, 2013': List({'text': Value('string'), 'url': Value('string')}), 'December 12, 2013': List({'text': Value('string'), 'url': Value('string')}), 'December 11, 2013': List({'text': Value('string'), 'url': Value('string')}), 'December 10, 2013': List({'text': Value('string'), 
              ...
               'February 24, 2017': List({'text': Value('string'), 'url': Value('string')}), 'January 4, 2017': List({'text': Value('string'), 'url': Value('string')}), 'December 28, 2016': List({'text': Value('string'), 'url': Value('string')}), 'February 23, 2017': List({'text': Value('string'), 'url': Value('string')}), 'January 3, 2017': List({'text': Value('string'), 'url': Value('string')}), 'December 27, 2016': List({'text': Value('string'), 'url': Value('string')}), 'February 8, 2017': List({'text': Value('string'), 'url': Value('string')}), 'November 7, 2016': List({'text': Value('string'), 'url': Value('string')}), 'January 9, 2017': List({'text': Value('string'), 'url': Value('string')}), 'October 6, 2016': List({'text': Value('string'), 'url': Value('string')}), 'December 20, 2016': List({'text': Value('string'), 'url': Value('string')}), 'October 13, 2016': List({'text': Value('string'), 'url': Value('string')}), 'September 1, 2016': List({'text': Value('string'), 'url': Value('string')}), 'July 26, 2016': List({'text': Value('string'), 'url': Value('string')}), 'July 18, 2016': List({'text': Value('string'), 'url': Value('string')}), 'July 8, 2016': List({'text': Value('string'), 'url': Value('string')}), 'September 23, 2016': List({'text': Value('string'), 'url': Value('string')}), 'June 17, 2016': List({'text': Value('string'), 'url': Value('string')})}, 'case status': Value('string'), 'resolution type': Value('string'), 'question': Value('string'), 'task': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 22 new columns ({'method', 'cited_by', 'downloaded_link', 'success', 'extracted_at', 'filename', 'pdf_link', 'authors', 'contents', 'scraped_at', 'snippet_highlighted_words', 'web_position', 'source', 'published_epoch_millis', 'published_date', 'article_link', 'published_epoch_seconds', 'subdomain', 'downloaded_file_path', 'error', 'query', 'snippet'}) and 12 missing columns ({'enforcement_type', 'case_timeline', 'url', 'status', 'case status', 'question', 'docket_number', 'ftc_matter_file_number', 'task', 'last_updated', 'case_summary', 'resolution type'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/ai-law-society-lab/ftc_paper/ftc_merger_cases/wilhelm-wilhelmsen-drew-marine-in-the-matter-of/metadocuments/Fixitfirst%20remedy%20proposals%20and%20evaluation_web_0.json (at revision f42b5199a16a797564475ee53efb1a4c9cd0cdbd)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)