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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
@context: struct<@vocab: string, @language: string, cr: string>
child 0, @vocab: string
child 1, @language: string
child 2, cr: string
@type: string
name: string
description: string
url: string
license: string
version: string
creator: list<item: struct<@type: string, name: string>>
child 0, item: struct<@type: string, name: string>
child 0, @type: string
child 1, name: string
keywords: list<item: string>
child 0, item: string
distribution: list<item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, (... 41 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, encodingFo (... 29 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
recordSet: list<item: struct<@type: string, name: string, description: string, field: list<item: struct<@type: (... 63 chars omitted)
child 0, item: struct<@type: string, name: string, description: string, field: list<item: struct<@type: string, nam (... 51 chars omitted)
child 0, @type: string
child 1, name: string
child 2, description: string
child 3, field: list<item: struct<@type: string, name: string, dataType: string, description: string>>
child 0, item: struct<@type: string, name: string, dataType:
...
ription: string>
child 0, @type: string
child 1, name: string
child 2, dataType: string
child 3, description: string
rai: struct<dataLimitations: list<item: string>, dataBiases: list<item: string>, personalSensitiveInforma (... 158 chars omitted)
child 0, dataLimitations: list<item: string>
child 0, item: string
child 1, dataBiases: list<item: string>
child 0, item: string
child 2, personalSensitiveInformation: struct<containsPersonalData: bool, description: string>
child 0, containsPersonalData: bool
child 1, description: string
child 3, dataUseCases: list<item: string>
child 0, item: string
child 4, dataSocialImpact: list<item: string>
child 0, item: string
child 5, hasSyntheticData: bool
NPCNum: int64
SafeArea: list<item: struct<min: struct<x: int64, y: int64, z: int64>, max: struct<x: int64, y: int64, z: int6 (... 19 chars omitted)
child 0, item: struct<min: struct<x: int64, y: int64, z: int64>, max: struct<x: int64, y: int64, z: int64>, isValid (... 7 chars omitted)
child 0, min: struct<x: int64, y: int64, z: int64>
child 0, x: int64
child 1, y: int64
child 2, z: int64
child 1, max: struct<x: int64, y: int64, z: int64>
child 0, x: int64
child 1, y: int64
child 2, z: int64
child 2, isValid: bool
FireSpreadScale: double
FireMultiply: double
OutfireMultiply: int64
FireNum: int64
SceneID: int64
to
{'SceneID': Value('int64'), 'FireNum': Value('int64'), 'NPCNum': Value('int64'), 'FireMultiply': Value('float64'), 'OutfireMultiply': Value('int64'), 'FireSpreadScale': Value('float64'), 'SafeArea': List({'min': {'x': Value('int64'), 'y': Value('int64'), 'z': Value('int64')}, 'max': {'x': Value('int64'), 'y': Value('int64'), 'z': Value('int64')}, 'isValid': Value('bool')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
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
@context: struct<@vocab: string, @language: string, cr: string>
child 0, @vocab: string
child 1, @language: string
child 2, cr: string
@type: string
name: string
description: string
url: string
license: string
version: string
creator: list<item: struct<@type: string, name: string>>
child 0, item: struct<@type: string, name: string>
child 0, @type: string
child 1, name: string
keywords: list<item: string>
child 0, item: string
distribution: list<item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, (... 41 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, contentUrl: string, encodingFo (... 29 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
recordSet: list<item: struct<@type: string, name: string, description: string, field: list<item: struct<@type: (... 63 chars omitted)
child 0, item: struct<@type: string, name: string, description: string, field: list<item: struct<@type: string, nam (... 51 chars omitted)
child 0, @type: string
child 1, name: string
child 2, description: string
child 3, field: list<item: struct<@type: string, name: string, dataType: string, description: string>>
child 0, item: struct<@type: string, name: string, dataType:
...
ription: string>
child 0, @type: string
child 1, name: string
child 2, dataType: string
child 3, description: string
rai: struct<dataLimitations: list<item: string>, dataBiases: list<item: string>, personalSensitiveInforma (... 158 chars omitted)
child 0, dataLimitations: list<item: string>
child 0, item: string
child 1, dataBiases: list<item: string>
child 0, item: string
child 2, personalSensitiveInformation: struct<containsPersonalData: bool, description: string>
child 0, containsPersonalData: bool
child 1, description: string
child 3, dataUseCases: list<item: string>
child 0, item: string
child 4, dataSocialImpact: list<item: string>
child 0, item: string
child 5, hasSyntheticData: bool
NPCNum: int64
SafeArea: list<item: struct<min: struct<x: int64, y: int64, z: int64>, max: struct<x: int64, y: int64, z: int6 (... 19 chars omitted)
child 0, item: struct<min: struct<x: int64, y: int64, z: int64>, max: struct<x: int64, y: int64, z: int64>, isValid (... 7 chars omitted)
child 0, min: struct<x: int64, y: int64, z: int64>
child 0, x: int64
child 1, y: int64
child 2, z: int64
child 1, max: struct<x: int64, y: int64, z: int64>
child 0, x: int64
child 1, y: int64
child 2, z: int64
child 2, isValid: bool
FireSpreadScale: double
FireMultiply: double
OutfireMultiply: int64
FireNum: int64
SceneID: int64
to
{'SceneID': Value('int64'), 'FireNum': Value('int64'), 'NPCNum': Value('int64'), 'FireMultiply': Value('float64'), 'OutfireMultiply': Value('int64'), 'FireSpreadScale': Value('float64'), 'SafeArea': List({'min': {'x': Value('int64'), 'y': Value('int64'), 'z': Value('int64')}, 'max': {'x': Value('int64'), 'y': Value('int64'), 'z': Value('int64')}, 'isValid': Value('bool')})}
because column names don't match
The above exception was the direct cause of the following exception:
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 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SceneID int64 | FireNum int64 | NPCNum int64 | FireMultiply float64 | OutfireMultiply int64 | FireSpreadScale float64 | SafeArea list |
|---|---|---|---|---|---|---|
1,000 | 2 | 4 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
1,000 | 4 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
100 | 10 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
100 | 13 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
100 | 13 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
100 | 2 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
100 | 3 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
100 | 5 | 2 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
100 | 7 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
100 | 9 | 2 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
101 | 10 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
101 | 13 | 4 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
101 | 5 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
101 | 8 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 10 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 1 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 1 | 2 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 1 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 2 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 4 | 5 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 6 | 2 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 7 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 7 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 8 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
102 | 9 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
103 | 12 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
103 | 13 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
103 | 1 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
103 | 7 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
103 | 9 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 10 | 2 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 11 | 2 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 12 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 12 | 4 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 1 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 2 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 2 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 2 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 3 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 4 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 5 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 6 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 8 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
104 | 9 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
105 | 11 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
105 | 1 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
105 | 4 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
105 | 5 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
105 | 6 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
105 | 9 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
105 | 9 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
106 | 10 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
106 | 13 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
106 | 9 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 12 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 2 | 4 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 3 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 3 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 4 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 5 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 5 | 5 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 6 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 6 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 7 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
107 | 9 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
108 | 10 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
108 | 12 | 4 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
108 | 13 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
108 | 1 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
108 | 3 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
108 | 4 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
108 | 6 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
108 | 9 | 2 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
109 | 10 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
109 | 11 | 2 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
109 | 13 | 4 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
109 | 5 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
109 | 7 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
109 | 7 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
10 | 4 | 5 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
10 | 5 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
10 | 5 | 5 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
10 | 7 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
10 | 8 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
10 | 8 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
110 | 11 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
110 | 11 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
110 | 12 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
110 | 12 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
110 | 12 | 5 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
110 | 13 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
110 | 3 | 4 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
110 | 5 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
110 | 7 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
111 | 11 | 3 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
111 | 13 | 1 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
111 | 1 | 2 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
111 | 2 | 5 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
111 | 3 | 4 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
111 | 5 | 0 | 1.5 | 30 | 1.2 | [
{
"min": {
"x": -500,
"y": -250,
"z": 900
},
"max": {
"x": 500,
"y": 250,
"z": 1100
},
"isValid": true
}
] |
End of preview.
EMA-Bench-26
EMA-Bench-26 is a collection of 8,000+ synthetic JSON scenario configurations for studying cooperative decision-making in dynamic, self-progressing disaster-style simulations (e.g. indoor fire spread). Each file describes structured scene-level parameters—such as fire sources, population counts, and scaling factors for fire dynamics—intended for use with a high-fidelity Unreal Engine–class simulation stack. The dataset supports research on embodied multi-agent settings where the environment evolves over time under configurable hazard dynamics; it does not ship simulator binaries or policy code (see Related resources).
Dataset summary
| Item | Detail |
|---|---|
| Content | Per-scenario JSON configuration records (simulation setup / scene parameters). |
| Scale | 8,000+ files (version 1.0 metadata alignment). |
| Modality | Structured tabular fields inside JSON (see below). |
| Nature | Fully synthetic; generated for controlled simulation studies. |
For machine-readable metadata, see mlcroissant.json in this folder.
Data fields (record schema)
The Croissant recordSet documents the following core fields. Individual JSON files may include additional keys used by the simulator; treat the table as the documented interchange surface for this release.
| Field | Type (logical) | Description |
|---|---|---|
SceneID |
integer | Identifier of the simulation scene / layout. |
FireNum |
integer | Number of initial fire sources. |
NPCNum |
integer | Number of non-player characters in the scenario. |
FireMultiply |
number | Multiplier for fire intensity growth. |
OutfireMultiply |
number | Factor for extinguishing / fire suppression dynamics. |
FireSpreadScale |
number | Scaling factor for fire propagation speed. |
Encoding: UTF-8 JSON, one scenario configuration per file (typical layout on the Hub mirrors flat or shallow hierarchical storage of these JSON documents).
Dataset statistics
- Instances: 8,000+ JSON configuration files
- Format:
application/json - Version: 1.0 (see
mlcroissant.json)
Licensing
This dataset is released under Creative Commons Attribution 4.0 International (CC BY 4.0).
Related resources
| Resource | URL | Role |
|---|---|---|
| This dataset (Hub) | https://huggingface.co/datasets/EMAS4Rescue/ema-bench-26 | Scenario configuration files and dataset card. |
| Platform guidelines | Google Doc (EMA-Bench) | Experiment and collaboration guidelines for the broader EMA-Bench platform. |
| Code & tooling | https://anonymous.4open.science/r/ema-bench-nips-26-4E30 | Open-source client, examples, and automation that consume scene configs (e.g. writing SceneID / FireNum / NPCNum into host SceneConfig.json). |
The Hub repository holds configuration data. The Unreal-based simulator build, Docker/UE deployment, and evaluation harnesses live in the GitHub repository and your own infrastructure.
Intended use
- Academic research on embodied multi-agent systems, cooperative planning, and decision-making under evolving hazards in simulation.
- Benchmarking algorithms that read scenario parameters to instantiate or stratify experiments.
- Meta-analysis of scenario coverage (e.g. distributions over
FireNum,NPCNum, spread parameters).
Limitations & responsible use
- Simulation only: Configurations are meant for simulated environments. They do not capture full real-world disaster physics, logistics, or social dynamics.
- Synthetic bias: Scenario distributions follow generation rules and engine assumptions; they may not match real-world event statistics. Models trained or evaluated solely here may not generalize to operational settings.
- Not for direct deployment: Do not use this benchmark as an operational decision system for real emergency response without domain validation, safety engineering, and ethical review.
- No personal data: Scenario files are synthetic; they are not expected to contain personally identifiable information (see also
RAI.md).
For a fuller RAI narrative, see RAI.md.
Citation
If you use EMA-Bench-26 or the broader EMA-Bench project in research, please cite the associated publication once available. A BibTeX entry will be linked from the main project README when the paper metadata is public.
Project name (placeholder): EMA-Bench: A Benchmark for Embodied Multi-Agent Decision-Making in Dynamic Environments
Metadata files in this directory
mlcroissant.json— MLCommons Croissant dataset description (fields, license, keywords).RAI.md— Responsible AI: intended use, out-of-scope use, limitations, biases, human data, ethics, maintenance.
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