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
filename: string
obs_counter: int64
timestamp: double
current_node: string
edge_folder: string
context: string
url: string
rai:dataCollection: string
rai:dataUseCases: string
rai:dataCollectionType: string
conformsTo: string
datePublished: timestamp[s]
rai:dataBiases: string
description: string
name: string
@context: struct<@language: string, @vocab: string, citeAs: string, column: string, conformsTo: string, cr: st (... 519 chars omitted)
child 0, @language: string
child 1, @vocab: string
child 2, citeAs: string
child 3, column: string
child 4, conformsTo: string
child 5, cr: string
child 6, data: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 7, dataType: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 8, dct: string
child 9, extract: string
child 10, field: string
child 11, fileProperty: string
child 12, fileObject: string
child 13, fileSet: string
child 14, format: string
child 15, includes: string
child 16, isLiveDataset: string
child 17, jsonPath: string
child 18, key: string
child 19, md5: string
child 20, parentField: string
child 21, path: string
child 22, rai: string
child 23, recordSet: string
child 24, references: string
child 25, regex: string
child 26, repeated: string
child 27, replace: string
child 28, sc: string
child 29, separator: string
child 30, source: string
child 31, subField: string
child
...
ruct<@type: string, @id: string, name: string, description: string, dataType: string, s (... 80 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, dataType: string, source: stru (... 68 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<fileSet: struct<@id: string>, extract: struct<jsonPath: string>>
child 0, fileSet: struct<@id: string>
child 0, @id: string
child 1, extract: struct<jsonPath: string>
child 0, jsonPath: string
rai:personalSensitiveInformation: string
keywords: list<item: string>
child 0, item: string
isLiveDataset: bool
distribution: list<item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, (... 93 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, encodingFo (... 81 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
child 6, sha256: string
child 7, containedIn: struct<@id: string>
child 0, @id: string
child 8, includes: string
@type: string
to
{'@context': {'@language': Value('string'), '@vocab': Value('string'), 'citeAs': Value('string'), 'column': Value('string'), 'conformsTo': Value('string'), 'cr': Value('string'), 'data': {'@id': Value('string'), '@type': Value('string')}, 'dataType': {'@id': Value('string'), '@type': Value('string')}, 'dct': Value('string'), 'extract': Value('string'), 'field': Value('string'), 'fileProperty': Value('string'), 'fileObject': Value('string'), 'fileSet': Value('string'), 'format': Value('string'), 'includes': Value('string'), 'isLiveDataset': Value('string'), 'jsonPath': Value('string'), 'key': Value('string'), 'md5': Value('string'), 'parentField': Value('string'), 'path': Value('string'), 'rai': Value('string'), 'recordSet': Value('string'), 'references': Value('string'), 'regex': Value('string'), 'repeated': Value('string'), 'replace': Value('string'), 'sc': Value('string'), 'separator': Value('string'), 'source': Value('string'), 'subField': Value('string'), 'transform': Value('string')}, '@type': Value('string'), 'conformsTo': Value('string'), 'name': Value('string'), 'description': Value('string'), 'url': Value('string'), 'license': Value('string'), 'isLiveDataset': Value('bool'), 'datePublished': Value('timestamp[s]'), 'keywords': List(Value('string')), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'sha256': Value('string'), 'containedIn': {'@id': Value('string')}, 'includes': 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': {'fileSet': {'@id': Value('string')}, 'extract': {'jsonPath': Value('string')}}})}), 'rai:dataBiases': Value('string'), 'rai:dataCollection': Value('string'), 'rai:dataCollectionType': Value('string'), 'rai:dataUseCases': Value('string'), 'rai:personalSensitiveInformation': 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 295, 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
filename: string
obs_counter: int64
timestamp: double
current_node: string
edge_folder: string
context: string
url: string
rai:dataCollection: string
rai:dataUseCases: string
rai:dataCollectionType: string
conformsTo: string
datePublished: timestamp[s]
rai:dataBiases: string
description: string
name: string
@context: struct<@language: string, @vocab: string, citeAs: string, column: string, conformsTo: string, cr: st (... 519 chars omitted)
child 0, @language: string
child 1, @vocab: string
child 2, citeAs: string
child 3, column: string
child 4, conformsTo: string
child 5, cr: string
child 6, data: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 7, dataType: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 8, dct: string
child 9, extract: string
child 10, field: string
child 11, fileProperty: string
child 12, fileObject: string
child 13, fileSet: string
child 14, format: string
child 15, includes: string
child 16, isLiveDataset: string
child 17, jsonPath: string
child 18, key: string
child 19, md5: string
child 20, parentField: string
child 21, path: string
child 22, rai: string
child 23, recordSet: string
child 24, references: string
child 25, regex: string
child 26, repeated: string
child 27, replace: string
child 28, sc: string
child 29, separator: string
child 30, source: string
child 31, subField: string
child
...
ruct<@type: string, @id: string, name: string, description: string, dataType: string, s (... 80 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, dataType: string, source: stru (... 68 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<fileSet: struct<@id: string>, extract: struct<jsonPath: string>>
child 0, fileSet: struct<@id: string>
child 0, @id: string
child 1, extract: struct<jsonPath: string>
child 0, jsonPath: string
rai:personalSensitiveInformation: string
keywords: list<item: string>
child 0, item: string
isLiveDataset: bool
distribution: list<item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, (... 93 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, encodingFo (... 81 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
child 6, sha256: string
child 7, containedIn: struct<@id: string>
child 0, @id: string
child 8, includes: string
@type: string
to
{'@context': {'@language': Value('string'), '@vocab': Value('string'), 'citeAs': Value('string'), 'column': Value('string'), 'conformsTo': Value('string'), 'cr': Value('string'), 'data': {'@id': Value('string'), '@type': Value('string')}, 'dataType': {'@id': Value('string'), '@type': Value('string')}, 'dct': Value('string'), 'extract': Value('string'), 'field': Value('string'), 'fileProperty': Value('string'), 'fileObject': Value('string'), 'fileSet': Value('string'), 'format': Value('string'), 'includes': Value('string'), 'isLiveDataset': Value('string'), 'jsonPath': Value('string'), 'key': Value('string'), 'md5': Value('string'), 'parentField': Value('string'), 'path': Value('string'), 'rai': Value('string'), 'recordSet': Value('string'), 'references': Value('string'), 'regex': Value('string'), 'repeated': Value('string'), 'replace': Value('string'), 'sc': Value('string'), 'separator': Value('string'), 'source': Value('string'), 'subField': Value('string'), 'transform': Value('string')}, '@type': Value('string'), 'conformsTo': Value('string'), 'name': Value('string'), 'description': Value('string'), 'url': Value('string'), 'license': Value('string'), 'isLiveDataset': Value('bool'), 'datePublished': Value('timestamp[s]'), 'keywords': List(Value('string')), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'sha256': Value('string'), 'containedIn': {'@id': Value('string')}, 'includes': 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': {'fileSet': {'@id': Value('string')}, 'extract': {'jsonPath': Value('string')}}})}), 'rai:dataBiases': Value('string'), 'rai:dataCollection': Value('string'), 'rai:dataCollectionType': Value('string'), 'rai:dataUseCases': Value('string'), 'rai:personalSensitiveInformation': 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.
ABHBench
A benchmark dataset for evaluating moral decision-making of foundation models from an agent-centric perspective.
Overview
ABHBench provides a collection of interactive moral dilemma scenarios extracted from narrative-driven video games. Each scenario presents an agent with contextual information and requires choosing between morally significant actions.
Dataset Structure
The dataset contains 7 chapters (dataset_flow_01 through dataset_flow_27), each representing a different narrative storyline with branching moral choices.
Directory Structure
dataset_flow_XX/
├── meta.json # Chapter metadata (flow configuration)
├── choice_graph.json # Graph structure of choice points
└── SCENE_NAME/ # Individual decision scenes
└── <hash>/
├── info.json # Scene context, choices, and game state
├── A # Screenshot for choice A
└── B # Screenshot for choice B
Scene Format (info.json)
Each scene contains:
- context: Narrative text describing the situation
- choices: Available actions (e.g.,
{"A": "OBEY", "B": "IGNORE"}) - status: Game state variables affecting the scene
Statistics
| Chapter | Scenes | Files | Size |
|---|---|---|---|
| dataset_flow_01 | ~200 | 3,845 | 1.3 GB |
| dataset_flow_05 | ~100 | 2,202 | 1.0 GB |
| dataset_flow_07 | ~60 | 1,369 | 457 MB |
| dataset_flow_08 | ~30 | 328 | 104 MB |
| dataset_flow_10 | ~580 | 11,937 | 4.4 GB |
| dataset_flow_23 | ~190 | 3,882 | 1.7 GB |
| dataset_flow_27 | ~50 | 978 | 392 MB |
| Total | ~1,210 | 24,541 | 9.2 GB |
Sample
For reviewers: dataset_flow_08 (104 MB, 328 files) serves as a representative smaller sample of the full dataset.
License
MIT License
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