Datasets:

---

jtlevine

/

lastmile-bench-inference

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 13 new columns ({'recent_wbgt_7day_mean_c', 'climatological_wbgt_for_month_c', 'window_start', 'season', 'window_end', 'alert_payout_usd', 'lon', 'full_payout_usd', 'lat', 'city', 'event_id', 'id', 'country'}) and 8 missing columns ({'inference_view_sha256', 'evaluator_space', 'inference_fields_exposed', 'panel_id', 'source_dataset', 'n_decision_points', 'held_out_fields_stripped', 'benchmark'}).

This happened while the json dataset builder was generating data using

hf://datasets/jtlevine/lastmile-bench-inference/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/decision_points.jsonl (at revision 3afa495bbd3c6c87335f65afae6546fa0eca5f56), [/tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/SUMMARY.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/SUMMARY.json), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/decision_points.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/decision_points.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/events.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/events.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/manifest.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/manifest.json), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_1/decision_points.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_1/decision_points.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_1/events.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_1/events.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_1/manifest.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_1/manifest.json), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/decision_points.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/decision_points.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/events.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/events.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/manifest.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/manifest.json), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/decision_points.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/decision_points.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/events.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/events.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/manifest.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/manifest.json), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/decision_points.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/decision_points.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/events.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/events.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/manifest.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/manifest.json), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/decision_points.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/decision_points.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/events.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/events.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/manifest.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/manifest.json), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_v0_1/decision_points.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_v0_1/decision_points.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_v0_1/events.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_v0_1/events.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_v0_1/manifest.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_v0_1/manifest.json), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_1/decision_points.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_1/decision_points.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_1/events.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_1/events.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_1/manifest.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_1/manifest.json), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/decision_points.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/decision_points.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/events.jsonl (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/events.jsonl), /tmp/hf-datasets-cache/medium/datasets/61034216514726-config-parquet-and-info-jtlevine-lastmile-bench-i-756a125a/hub/datasets--jtlevine--lastmile-bench-inference/snapshots/3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/manifest.json (origin=hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/manifest.json)], ['hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/SUMMARY.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/climate_risk_insurance/dar_es_salaam_insurance_era5_v0_1/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_1/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_1/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_1/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_v0_1/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_v0_1/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_v0_1/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_1/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_1/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_1/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/manifest.json']

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 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              event_id: string
              city: string
              country: string
              lat: double
              lon: double
              window_start: timestamp[s]
              window_end: timestamp[s]
              recent_wbgt_7day_mean_c: double
              climatological_wbgt_for_month_c: double
              season: string
              alert_payout_usd: double
              full_payout_usd: double
              to
              {'benchmark': Value('string'), 'panel_id': Value('string'), 'n_decision_points': Value('int64'), 'inference_view_sha256': Value('string'), 'held_out_fields_stripped': List(Value('string')), 'inference_fields_exposed': List(Value('string')), 'source_dataset': Value('string'), 'evaluator_space': 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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 13 new columns ({'recent_wbgt_7day_mean_c', 'climatological_wbgt_for_month_c', 'window_start', 'season', 'window_end', 'alert_payout_usd', 'lon', 'full_payout_usd', 'lat', 'city', 'event_id', 'id', 'country'}) and 8 missing columns ({'inference_view_sha256', 'evaluator_space', 'inference_fields_exposed', 'panel_id', 'source_dataset', 'n_decision_points', 'held_out_fields_stripped', 'benchmark'}).
              
              This happened while the json dataset builder was generating data using
              
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'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_2/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/india_pulses_v0_3/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_daily_v0_1/manifest.json', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/market_intelligence/kenya_maize_monthly_v0_2/manifest.json', 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'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/decision_points.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/events.jsonl', 'hf://datasets/jtlevine/lastmile-bench-inference@3afa495bbd3c6c87335f65afae6546fa0eca5f56/weather_advisory/kerala_tn_advisory_v0_2/manifest.json']
              
              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)