Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
n_eval: int64
episode_length: int64
n_post_rtcb_days: int64
rows: list<item: struct<name: string, mean_daily_reward: double, std_daily_reward: double, min_daily_rewar (... 77 chars omitted)
child 0, item: struct<name: string, mean_daily_reward: double, std_daily_reward: double, min_daily_reward: double, (... 65 chars omitted)
child 0, name: string
child 1, mean_daily_reward: double
child 2, std_daily_reward: double
child 3, min_daily_reward: double
child 4, max_daily_reward: double
child 5, sharpe_like: double
child 6, n_episodes: int64
citeAs: string
distribution: list<item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, (... 25 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, encodingFo (... 13 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, description: string
child 4, contentUrl: string
child 5, encodingFormat: string
@context: struct<@vocab: string, sc: string, cr: string, rai: string>
child 0, @vocab: string
child 1, sc: string
child 2, cr: string
child 3, rai: string
@type: string
recordSet: list<item: struct<@type: string, @id: string, name: string, description: string, field: list<item: s (... 171 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, field: list<item: struct<@type (... 159 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, description: string
child 4, field: list<item: struct<@type: string, @id: string, name: string, description: string, dataType: string, s (... 81 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, dataType: string, source: stru (... 69 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, description: string
child 4, dataType: string
child 5, source: struct<fileObject: struct<@id: string>, extract: struct<column: string>>
child 0, fileObject: struct<@id: string>
child 0, @id: string
child 1, extract: struct<column: string>
child 0, column: string
license: string
description: string
version: string
name: string
keywords: list<item: string>
child 0, item: string
to
{'@context': {'@vocab': Value('string'), 'sc': Value('string'), 'cr': Value('string'), 'rai': Value('string')}, '@type': Value('string'), 'name': Value('string'), 'description': Value('string'), 'license': Value('string'), 'version': Value('string'), 'citeAs': Value('string'), 'keywords': List(Value('string')), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string')}), 'recordSet': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'field': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'dataType': Value('string'), 'source': {'fileObject': {'@id': Value('string')}, 'extract': {'column': Value('string')}}})})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
n_eval: int64
episode_length: int64
n_post_rtcb_days: int64
rows: list<item: struct<name: string, mean_daily_reward: double, std_daily_reward: double, min_daily_rewar (... 77 chars omitted)
child 0, item: struct<name: string, mean_daily_reward: double, std_daily_reward: double, min_daily_reward: double, (... 65 chars omitted)
child 0, name: string
child 1, mean_daily_reward: double
child 2, std_daily_reward: double
child 3, min_daily_reward: double
child 4, max_daily_reward: double
child 5, sharpe_like: double
child 6, n_episodes: int64
citeAs: string
distribution: list<item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, (... 25 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, encodingFo (... 13 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, description: string
child 4, contentUrl: string
child 5, encodingFormat: string
@context: struct<@vocab: string, sc: string, cr: string, rai: string>
child 0, @vocab: string
child 1, sc: string
child 2, cr: string
child 3, rai: string
@type: string
recordSet: list<item: struct<@type: string, @id: string, name: string, description: string, field: list<item: s (... 171 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, field: list<item: struct<@type (... 159 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, description: string
child 4, field: list<item: struct<@type: string, @id: string, name: string, description: string, dataType: string, s (... 81 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, dataType: string, source: stru (... 69 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, description: string
child 4, dataType: string
child 5, source: struct<fileObject: struct<@id: string>, extract: struct<column: string>>
child 0, fileObject: struct<@id: string>
child 0, @id: string
child 1, extract: struct<column: string>
child 0, column: string
license: string
description: string
version: string
name: string
keywords: list<item: string>
child 0, item: string
to
{'@context': {'@vocab': Value('string'), 'sc': Value('string'), 'cr': Value('string'), 'rai': Value('string')}, '@type': Value('string'), 'name': Value('string'), 'description': Value('string'), 'license': Value('string'), 'version': Value('string'), 'citeAs': Value('string'), 'keywords': List(Value('string')), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string')}), 'recordSet': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'field': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'dataType': Value('string'), 'source': {'fileObject': {'@id': Value('string')}, 'extract': {'column': Value('string')}}})})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ERCOT-RTCB v1
A daily proxy benchmark for feasibility-aware battery dispatch under ERCOT Real-Time Co-optimization Plus Batteries (RTC+B).
Dataset Description
304-day daily panel (June 2025 to March 2026) with real-time LMP, MCPC for seven ancillary-service products, weather, and calendar features. Observed five-minute MCPC covers 7 in-window days; the remaining 297 use a frozen folded-normal generator calibrated from a 14-day public sample. Each row carries an mcpc_is_real flag.
Files
- sced_panel.parquet: 304-day daily panel
- leaderboard.json: baseline agent results
- sbr_results_500k.json: structural-break regret diagnostic
- croissant.json: MLCommons Croissant metadata
Usage
See the companion paper and code repository for the Gymnasium environment, baseline agents, and reproduction instructions.
License
MIT
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