Datasets:

---

pjpjq

/

polymarket-data

like 0

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 16 new columns ({'negativeRisk', 'initialValue', 'oppositeOutcome', 'eventId', 'cashPnl', 'oppositeAsset', 'curPrice', 'percentPnl', 'realizedPnl', 'avgPrice', 'currentValue', 'percentRealizedPnl', 'endDate', 'totalBought', 'redeemable', 'mergeable'}) and 11 missing columns ({'name', 'bio', 'timestamp', 'side', 'profileImageOptimized', 'profileImage', 'type', 'price', 'usdcSize', 'pseudonym', 'transactionHash'}).

This happened while the json dataset builder was generating data using

hf://datasets/pjpjq/polymarket-data/polymarket_qr/cache/data-api.polymarket.com/positions/4396dd50eaf85beabf225b79b4b1f0ddb4fd1962.json (at revision b9e3d681be36d86b94e4bc8ee549329147a026cd)

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
              proxyWallet: string
              asset: string
              conditionId: string
              size: double
              avgPrice: double
              initialValue: double
              currentValue: double
              cashPnl: double
              percentPnl: double
              totalBought: double
              realizedPnl: double
              percentRealizedPnl: double
              curPrice: double
              redeemable: bool
              mergeable: bool
              title: string
              slug: string
              icon: string
              eventId: string
              eventSlug: string
              outcome: string
              outcomeIndex: int64
              oppositeOutcome: string
              oppositeAsset: string
              endDate: string
              negativeRisk: bool
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 3375
              to
              {'proxyWallet': Value('string'), 'timestamp': Value('timestamp[ns]'), 'conditionId': Value('string'), 'type': Value('string'), 'size': Value('float64'), 'usdcSize': Value('float64'), 'transactionHash': Value('string'), 'price': Value('float64'), 'asset': Value('string'), 'side': Value('string'), 'outcomeIndex': Value('int64'), 'title': Value('string'), 'slug': Value('string'), 'icon': Value('string'), 'eventSlug': Value('string'), 'outcome': Value('string'), 'name': Value('string'), 'pseudonym': Value('string'), 'bio': Value('string'), 'profileImage': Value('string'), 'profileImageOptimized': 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 1339, 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 972, 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 16 new columns ({'negativeRisk', 'initialValue', 'oppositeOutcome', 'eventId', 'cashPnl', 'oppositeAsset', 'curPrice', 'percentPnl', 'realizedPnl', 'avgPrice', 'currentValue', 'percentRealizedPnl', 'endDate', 'totalBought', 'redeemable', 'mergeable'}) and 11 missing columns ({'name', 'bio', 'timestamp', 'side', 'profileImageOptimized', 'profileImage', 'type', 'price', 'usdcSize', 'pseudonym', 'transactionHash'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/pjpjq/polymarket-data/polymarket_qr/cache/data-api.polymarket.com/positions/4396dd50eaf85beabf225b79b4b1f0ddb4fd1962.json (at revision b9e3d681be36d86b94e4bc8ee549329147a026cd)
              
              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)