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 1 new columns ({'images'}) and 2 missing columns ({'video', 'id'}).
This happened while the json dataset builder was generating data using
hf://datasets/3dllm/ScanQA/LLaVA_v2_ScanQA_v1.0_train.json (at revision 0876a9b78db49dc405615d7e4907781196f8abcc)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
conversations: list<item: struct<from: string, value: string>>
child 0, item: struct<from: string, value: string>
child 0, from: string
child 1, value: string
images: list<item: string>
child 0, item: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 324
to
{'id': Value(dtype='int64', id=None), 'video': Value(dtype='string', id=None), 'conversations': [{'from': Value(dtype='string', id=None), 'value': Value(dtype='string', 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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, 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 1 new columns ({'images'}) and 2 missing columns ({'video', 'id'}).
This happened while the json dataset builder was generating data using
hf://datasets/3dllm/ScanQA/LLaVA_v2_ScanQA_v1.0_train.json (at revision 0876a9b78db49dc405615d7e4907781196f8abcc)
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.
id
int64 | video
string | conversations
list |
|---|---|---|
8 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat is in the right corner of room by curtains?"
},
{
"from": "gpt",
"value": "Brown cabinet with tv sitting in it."
}
] |
7 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat color table is on the left side of the cabinet?"
},
{
"from": "gpt",
"value": "Light brown."
}
] |
57 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat is on the left of the tv?"
},
{
"from": "gpt",
"value": "Bicycle on floor."
}
] |
39 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhere is the beige wooden working table placed?"
},
{
"from": "gpt",
"value": "Right of tall cabinet."
}
] |
4 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat is in the corner of the bath?"
},
{
"from": "gpt",
"value": "Shower."
}
] |
54 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat is placed next to the fridge?"
},
{
"from": "gpt",
"value": "Door."
}
] |
3 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhere is the silver bread toaster placed?"
},
{
"from": "gpt",
"value": "Countertop."
}
] |
62 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the plastic clothes handler?"
},
{
"from": "gpt",
"value": "Blue."
}
] |
42 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nOn what part of the cabinet is the beige cabinet placed?"
},
{
"from": "gpt",
"value": "Right kitchen wall."
}
] |
8 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nThe beige wooden bookshelf is placed next to what else?"
},
{
"from": "gpt",
"value": "Brown wooden cabinet and television."
}
] |
12 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nHow many trash cans can be seen on your right when you enter?"
},
{
"from": "gpt",
"value": "2 small white trash cans."
}
] |
8 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhere is the large wooden bookshelf placed?"
},
{
"from": "gpt",
"value": "To right of brown wooden cabinet and television up against wall near windows."
}
] |
54 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat is the white wooden door?"
},
{
"from": "gpt",
"value": "Kitchen door."
}
] |
43 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhere is the brown wooden cabinet located?"
},
{
"from": "gpt",
"value": "Above kitchen counter tops."
}
] |
52 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat is placed next to the fridge on the upper side of the cabinets?"
},
{
"from": "gpt",
"value": "Microwave oven."
}
] |
43 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nOn what side of the cabinets is the microwave located?"
},
{
"from": "gpt",
"value": "Right side."
}
] |
34 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the coffee table in front of a couch?"
},
{
"from": "gpt",
"value": "Gray."
}
] |
32 | scannet/scene0000_00 | [
{
"from": "human",
"value": "<video>\nWhat is the coffee table in front of?"
},
{
"from": "gpt",
"value": "Couch."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nHow many coffee tables does the brown armchair face?"
},
{
"from": "gpt",
"value": "2."
}
] |
3 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat kind of table is in the house?"
},
{
"from": "gpt",
"value": "Wooden."
}
] |
19 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat is to the right of the picture?"
},
{
"from": "gpt",
"value": "Doorframe."
}
] |
1 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the couch?"
},
{
"from": "gpt",
"value": "Brown couch."
}
] |
10 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nHow many brown chairs are on the right and left of the brown couch?"
},
{
"from": "gpt",
"value": "2 couches."
}
] |
7 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat type of wood is the coffee table?"
},
{
"from": "gpt",
"value": "Brown coffee table."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhere does the coffee table sit in the sitting area?"
},
{
"from": "gpt",
"value": "Next to other coffee table surrounded by 2 couches and 2 armchairs."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nThe coffee table on the right is closest to what?"
},
{
"from": "gpt",
"value": "Brown couch."
}
] |
0 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat color leather sofa is in the room?"
},
{
"from": "gpt",
"value": "Brown."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat type of coffee table is in the room?"
},
{
"from": "gpt",
"value": "Square wood coffee table."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat kind of wooden coffee table is on the right of the coffee table?"
},
{
"from": "gpt",
"value": "Square wood coffee table."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhere is the coffee table kept?"
},
{
"from": "gpt",
"value": "In middle of seating area."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhere is the coffee table lying?"
},
{
"from": "gpt",
"value": "To right of picture."
}
] |
5 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nThe brown couch is right next to what?"
},
{
"from": "gpt",
"value": "Tables."
}
] |
5 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nThe couch is on the right of what?"
},
{
"from": "gpt",
"value": "Tables."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nHow many tables is the brown armchair facing?"
},
{
"from": "gpt",
"value": "2."
}
] |
10 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the couch by the two sets of chairs?"
},
{
"from": "gpt",
"value": "Reddish grey."
}
] |
19 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat's behind the couch to the left of the two coffee tables?"
},
{
"from": "gpt",
"value": "Door."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat's the color of the coffee tables in the room?"
},
{
"from": "gpt",
"value": "Brown."
}
] |
10 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nHow many arm chairs are there?"
},
{
"from": "gpt",
"value": "4."
}
] |
10 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhere is the brown arm chair located?"
},
{
"from": "gpt",
"value": "In middle of room."
}
] |
7 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat is to the left of the small wooden table?"
},
{
"from": "gpt",
"value": "Couch."
}
] |
8 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat type of couch is placed next to the light wood tea table?"
},
{
"from": "gpt",
"value": "Loveseat."
}
] |
0 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nWhat is the couch nearest the window placed in front of?"
},
{
"from": "gpt",
"value": "Table."
}
] |
6 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nHow many identical coffee tables are in a center of the room?"
},
{
"from": "gpt",
"value": "2."
}
] |
8 | scannet/scene0001_00 | [
{
"from": "human",
"value": "<video>\nThe window is furthest away from which couch?"
},
{
"from": "gpt",
"value": "If facing window 1 on left."
}
] |
12 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere is the white cabinet located?"
},
{
"from": "gpt",
"value": "Right of door."
}
] |
31 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat does the chair's back face?"
},
{
"from": "gpt",
"value": "Small cabinet."
}
] |
14 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is the front of the chair resting on?"
},
{
"from": "gpt",
"value": "Door."
}
] |
47 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is attached to the wall of the house?"
},
{
"from": "gpt",
"value": "Radiator."
}
] |
18 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the chair in front of the radiator?"
},
{
"from": "gpt",
"value": "Brown and black."
}
] |
46 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the ottoman?"
},
{
"from": "gpt",
"value": "Dark green."
}
] |
49 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is in front of the radiator?"
},
{
"from": "gpt",
"value": "Small table."
}
] |
49 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is next to the chair?"
},
{
"from": "gpt",
"value": "Small table."
}
] |
54 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color storage bin is next to the orange one?"
},
{
"from": "gpt",
"value": "Teal."
}
] |
53 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is on the left of the brown storage bin?"
},
{
"from": "gpt",
"value": "Teal storage bin."
}
] |
48 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere is the triangular shape table located?"
},
{
"from": "gpt",
"value": "In front of radiator."
}
] |
33 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere is the brown door located?"
},
{
"from": "gpt",
"value": "Between 2 tall cabinets."
}
] |
17 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat does the rectangular window with brown molding sit behind?"
},
{
"from": "gpt",
"value": "Tv stand."
}
] |
37 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere do the bottoms of the windows sit?"
},
{
"from": "gpt",
"value": "Floor level."
}
] |
38 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nThe tv stand is sitting to the right of what?"
},
{
"from": "gpt",
"value": "Window."
}
] |
37 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere is the tv stand sitting?"
},
{
"from": "gpt",
"value": "Under 2 windows."
}
] |
49 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat sits in front of the radiator on the right?"
},
{
"from": "gpt",
"value": "Small table."
}
] |
55 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is the black microwave on top of?"
},
{
"from": "gpt",
"value": "Mini fridge."
}
] |
27 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is kept on the chair left of the windows?"
},
{
"from": "gpt",
"value": "Pillow."
}
] |
31 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nHow many drawers are in the storage cabinet?"
},
{
"from": "gpt",
"value": "3."
}
] |
31 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is the height of the storage cabinet?"
},
{
"from": "gpt",
"value": "Short."
}
] |
33 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is found in one corner of the room?"
},
{
"from": "gpt",
"value": "Cabinet."
}
] |
33 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat can be seen near the refrigerator?"
},
{
"from": "gpt",
"value": "Cabinet."
}
] |
56 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the couch?"
},
{
"from": "gpt",
"value": "Dark gray."
}
] |
28 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat does the dark grey upholstered couch have in its middle?"
},
{
"from": "gpt",
"value": "Blue pillow."
}
] |
56 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is under the couch's front feet?"
},
{
"from": "gpt",
"value": "Orange rug."
}
] |
53 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color storage bin is on top of a white cabinet?"
},
{
"from": "gpt",
"value": "Orange."
}
] |
33 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is the orange storage bin on top of?"
},
{
"from": "gpt",
"value": "White cabinet."
}
] |
17 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is in front of a window?"
},
{
"from": "gpt",
"value": "White tv stand."
}
] |
37 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is the tv stand in front of?"
},
{
"from": "gpt",
"value": "2 windows."
}
] |
28 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the throw pillow?"
},
{
"from": "gpt",
"value": "Blue."
}
] |
56 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color couch is the pillow sitting on?"
},
{
"from": "gpt",
"value": "Grey."
}
] |
23 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the trash can?"
},
{
"from": "gpt",
"value": "Blue."
}
] |
32 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere is the trash can located?"
},
{
"from": "gpt",
"value": "Under white shelf."
}
] |
56 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is in front of the door in the room?"
},
{
"from": "gpt",
"value": "Couch."
}
] |
46 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nHow many controllers are on top of the green ottoman?"
},
{
"from": "gpt",
"value": "3."
}
] |
12 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere does the tall white cabinet sit?"
},
{
"from": "gpt",
"value": "Left of door."
}
] |
35 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the cabinet?"
},
{
"from": "gpt",
"value": "White."
}
] |
55 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the mini fridge and microwave combo?"
},
{
"from": "gpt",
"value": "Black."
}
] |
25 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nHow many pillows are on the couch?"
},
{
"from": "gpt",
"value": "2."
}
] |
25 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nTo what direction is the other pillow on the couch?"
},
{
"from": "gpt",
"value": "Left."
}
] |
46 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the coffee table in the center of the room?"
},
{
"from": "gpt",
"value": "Teal."
}
] |
55 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is to the right of the white cabinet?"
},
{
"from": "gpt",
"value": "Refrigerator."
}
] |
25 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat sits on the grey couch?"
},
{
"from": "gpt",
"value": "Pillows."
}
] |
33 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is next to the printer?"
},
{
"from": "gpt",
"value": "White cabinet."
}
] |
17 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is the window behind?"
},
{
"from": "gpt",
"value": "Tv stand."
}
] |
28 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the pillow?"
},
{
"from": "gpt",
"value": "Blue."
}
] |
26 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere is the pillow located?"
},
{
"from": "gpt",
"value": "On wooden chair."
}
] |
53 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nHow many bins are located on top of the cabinet?"
},
{
"from": "gpt",
"value": "2."
}
] |
53 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nHow many large bins are located on top of cabinet?"
},
{
"from": "gpt",
"value": "2."
}
] |
55 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat color is the fridge under the microwave?"
},
{
"from": "gpt",
"value": "Black."
}
] |
19 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is next to the gray couch?"
},
{
"from": "gpt",
"value": "Wooden chair with grey cushions."
}
] |
37 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere is the tv stand located?"
},
{
"from": "gpt",
"value": "Under 2 windows."
}
] |
48 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is next to the tv stand?"
},
{
"from": "gpt",
"value": "Radiator."
}
] |
24 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhat is next to the trash can?"
},
{
"from": "gpt",
"value": "Trashcan."
}
] |
12 | scannet/scene0002_00 | [
{
"from": "human",
"value": "<video>\nWhere is the cabinet located?"
},
{
"from": "gpt",
"value": "Between 2 doors."
}
] |
End of preview.