Datasets:
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
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 3 new columns ({'frame_list', 'answer', 'target_frame'}) and 1 missing columns ({'causal_chain'}).
This happened while the json dataset builder was generating data using
zip://temporal_inference.json::hf://datasets/Devon018/HAI-Bench@d4a24bd590b32a6b832b25c65933c0b608cfebfb/HAI-Bench.zip
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
question_id: int64
video_id: string
frame_list: list<item: string>
child 0, item: string
target_frame: string
answer: struct<Context Analysis: string, Human Emotion: string, Human Movement: string, Human Other Actions: list<item: string>, Human OtherActions: list<item: string>, Human Posture: string, Interaction Objects: list<item: string>, Interaction Scene: string, Pet Movement: string, Pet Other Behaviors: list<item: string>, Pet OtherBehaviors: list<item: string>, Pet Posture: string, frame_id: string>
child 0, Context Analysis: string
child 1, Human Emotion: string
child 2, Human Movement: string
child 3, Human Other Actions: list<item: string>
child 0, item: string
child 4, Human OtherActions: list<item: string>
child 0, item: string
child 5, Human Posture: string
child 6, Interaction Objects: list<item: string>
child 0, item: string
child 7, Interaction Scene: string
child 8, Pet Movement: string
child 9, Pet Other Behaviors: list<item: string>
child 0, item: string
child 10, Pet OtherBehaviors: list<item: string>
child 0, item: string
child 11, Pet Posture: string
child 12, frame_id: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 698
to
{'video_id': Value(dtype='string', id=None), 'causal_chain': {'edges': [{'source': Value(dtype='string', id=None), 'target': Value(dtype='string', id=None)}], 'nodes': [{'description': Value(dtype='string', id=None), 'entity': Value(dtype='string', id=None), 'frame_ref': Value(dtype='string', id=None), 'id': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None)}]}, 'question_id': Value(dtype='int64', id=None)}
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 1428, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 989, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, 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 3 new columns ({'frame_list', 'answer', 'target_frame'}) and 1 missing columns ({'causal_chain'}).
This happened while the json dataset builder was generating data using
zip://temporal_inference.json::hf://datasets/Devon018/HAI-Bench@d4a24bd590b32a6b832b25c65933c0b608cfebfb/HAI-Bench.zip
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
video_id string | causal_chain dict | question_id int64 |
|---|---|---|
video_1 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n9",
"target": "n10"
},
{
"source": "n... | 1 |
video_10 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n2",
"target": "n3"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n6... | 2 |
video_100 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n4"
},
{
"source": "n3",
"target": "n6"
},
{
"source": "n7",
"target": "n6"
},
{
"source": "n8... | 3 |
video_1000 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n2",
"target": "n3"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n6... | 4 |
video_1001 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n7",
"target": "n9"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 5 |
video_1002 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n9",
"target": "n10"
},
{
"source": "n... | 6 |
video_1003 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
}
],
"nodes": [
{
... | 7 |
video_1004 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n7"
},
{
"source": "n9... | 8 |
video_1005 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 9 |
video_1006 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n5"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n9... | 10 |
video_1007 | {
"edges": [
{
"source": "n1",
"target": "n3"
},
{
"source": "n2",
"target": "n1"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n9... | 11 |
video_1008 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n5"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n9... | 12 |
video_1009 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n5"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n9... | 13 |
video_101 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 14 |
video_1010 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n4"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 15 |
video_1011 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
}
],
"nodes": [
{
... | 16 |
video_1012 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 17 |
video_1013 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n5"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 18 |
video_1014 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n1",
"target": "n3"
},
{
"source": "n4",
"target": "n3"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n8... | 19 |
video_1015 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
}
],
"nodes": [
{
"description": "Gently holding a guinea pig",
"entity": "Human",
"frame_ref": "frame_000.jpg",
... | 20 |
video_1016 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 21 |
video_1017 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n5"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n9... | 22 |
video_1018 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n5"
},
{
"source": "n4",
"target": "n5"
}
],
"nodes": [
{
"description": "Petting the cat",
"entity": "Human",
"frame_ref": "frame_000.jpg",
"id": "... | 23 |
video_1019 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n5"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n10"
},
{
"source": "n... | 24 |
video_102 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 25 |
video_1020 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 26 |
video_1021 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 27 |
video_1022 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n7"
},
{
"source": "n7... | 28 |
video_1023 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n5"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n9... | 29 |
video_1024 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n2",
"target": "n3"
},
{
"source": "n4",
"target": "n3"
},
{
"source": "n3",
"target": "n5"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n6... | 30 |
video_1025 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n7"
},
{
"source": "n9... | 31 |
video_1026 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n7"
},
{
"source": "n9... | 32 |
video_1027 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 33 |
video_1028 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 34 |
video_1029 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n6",
"target": "n9"
},
{
"source": "n9... | 35 |
video_103 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 36 |
video_1030 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n8",
"target": "n9"
}
],
"nodes": [
{
... | 37 |
video_1031 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n9",
"target": "n10"
},
{
"source": "n... | 38 |
video_1032 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
}
],
"nodes": [
{
"description": "Bathing a skunk",
"entity": "Human",
"frame_ref": "frame_000.jpg",
"id": "... | 39 |
video_1033 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n4"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n6",
"target": "n8"
},
{
"source": "n9... | 40 |
video_1034 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n2",
"target": "n3"
},
{
"source": "n4",
"target": "n3"
},
{
"source": "n3",
"target": "n5"
},
{
"source": "n5",
"target": "n7"
},
{
"source": "n6... | 41 |
video_1035 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 42 |
video_1036 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n4"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n1... | 43 |
video_1038 | {
"edges": [
{
"source": "n1",
"target": "n5"
},
{
"source": "n5",
"target": "n6"
},
{
"source": "n6",
"target": "n7"
},
{
"source": "n7",
"target": "n8"
},
{
"source": "n8",
"target": "n9"
},
{
"source": "n9... | 44 |
video_1039 | {
"edges": [
{
"source": "n1",
"target": "n2"
},
{
"source": "n3",
"target": "n2"
},
{
"source": "n4",
"target": "n5"
},
{
"source": "n6",
"target": "n5"
},
{
"source": "n7",
"target": "n8"
},
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