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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 ({'caption', 'subject', 'object'})

This happened while the json dataset builder was generating data using

hf://datasets/Likithp/vsr-hidden-states-full/vsr_hidden_states_full_meta.json (at revision 1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0), ['hf://datasets/Likithp/vsr-hidden-states-full@1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0/llava_vsr_hidden_states_full_meta.json', 'hf://datasets/Likithp/vsr-hidden-states-full@1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0/vsr_hidden_states_full_meta.json'], ['hf://datasets/Likithp/vsr-hidden-states-full@1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0/llava_vsr_hidden_states_full_meta.json', 'hf://datasets/Likithp/vsr-hidden-states-full@1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0/vsr_hidden_states_full_meta.json']

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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              idx: int64
              image_id: string
              caption: string
              question: string
              ground_truth: int64
              model_answer: string
              model_correct: bool
              relation_asked: string
              subject: string
              object: string
              split: string
              to
              {'idx': Value('int64'), 'ground_truth': Value('int64'), 'model_answer': Value('string'), 'model_correct': Value('bool'), 'relation_asked': Value('string'), 'question': Value('string'), 'image_id': Value('string'), 'split': Value('string')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 ({'caption', 'subject', 'object'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Likithp/vsr-hidden-states-full/vsr_hidden_states_full_meta.json (at revision 1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0), ['hf://datasets/Likithp/vsr-hidden-states-full@1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0/llava_vsr_hidden_states_full_meta.json', 'hf://datasets/Likithp/vsr-hidden-states-full@1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0/vsr_hidden_states_full_meta.json'], ['hf://datasets/Likithp/vsr-hidden-states-full@1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0/llava_vsr_hidden_states_full_meta.json', 'hf://datasets/Likithp/vsr-hidden-states-full@1daf7f7a0081f9b3d0aa300a25a874e126e3bdf0/vsr_hidden_states_full_meta.json']
              
              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.

idx int64	ground_truth int64	model_answer string	model_correct bool	relation_asked string	question string	image_id string	split string
0	1	yes	true	right of	Is the bed right of the bench? Answer with Yes or No.	000000262118.jpg	train
1	0	yes	false	below	Is the dining table below the pizza? Answer with Yes or No.	000000351654.jpg	train
2	0	yes	false	left of	Is the cup left of the hot dog? Answer with Yes or No.	000000145722.jpg	train
3	1	no	false	left of	Is the cup left of the person? Answer with Yes or No.	000000554102.jpg	train
4	1	yes	true	below	Is the cake below the broccoli? Answer with Yes or No.	000000145680.jpg	train
5	0	yes	false	above	Is the dog above the cat? Answer with Yes or No.	000000504158.jpg	train
6	1	yes	true	above	Is the cat above the dining table? Answer with Yes or No.	000000568171.jpg	train
7	0	yes	false	above	Is the chair above the cat? Answer with Yes or No.	000000292101.jpg	train
8	0	yes	false	below	Is the toilet below the dog? Answer with Yes or No.	000000013882.jpg	train
9	1	yes	true	above	Is the apple above the banana? Answer with Yes or No.	000000490871.jpg	train
10	0	yes	false	left of	Is the book left of the pizza? Answer with Yes or No.	000000519077.jpg	train
11	0	yes	false	left of	Is the pizza left of the refrigerator? Answer with Yes or No.	000000095100.jpg	train
12	0	no	true	below	Is the teddy bear below the person? Answer with Yes or No.	000000531568.jpg	train
13	0	yes	false	left of	Is the motorcycle left of the truck? Answer with Yes or No.	000000120759.jpg	train
14	0	yes	false	above	Is the person above the cup? Answer with Yes or No.	000000131470.jpg	train
15	1	yes	true	below	Is the refrigerator below the cat? Answer with Yes or No.	000000552142.jpg	train
16	1	yes	true	above	Is the dining table above the dog? Answer with Yes or No.	000000034865.jpg	train
17	0	no	true	right of	Is the person right of the dining table? Answer with Yes or No.	000000065806.jpg	train
18	1	yes	true	left of	Is the pizza left of the dog? Answer with Yes or No.	000000473720.jpg	train
19	1	yes	true	above	Is the umbrella above the cat? Answer with Yes or No.	000000145476.jpg	train
20	1	yes	true	below	Is the tv below the teddy bear? Answer with Yes or No.	000000035769.jpg	train
21	1	yes	true	left of	Is the person left of the cake? Answer with Yes or No.	000000004011.jpg	train
22	0	yes	false	left of	Is the person left of the zebra? Answer with Yes or No.	000000509225.jpg	train
23	1	yes	true	right of	Is the laptop right of the cake? Answer with Yes or No.	000000229286.jpg	train
24	0	yes	false	left of	Is the cat left of the tv? Answer with Yes or No.	000000268102.jpg	train
25	0	yes	false	right of	Is the cat right of the umbrella? Answer with Yes or No.	000000541158.jpg	train
26	0	yes	false	above	Is the pizza above the bicycle? Answer with Yes or No.	000000521169.jpg	train
27	0	yes	false	above	Is the pizza above the tv? Answer with Yes or No.	000000021327.jpg	train
28	0	yes	false	left of	Is the person left of the cake? Answer with Yes or No.	000000297326.jpg	train
29	0	no	true	above	Is the bed above the laptop? Answer with Yes or No.	000000027727.jpg	train
30	1	yes	true	left of	Is the person left of the cake? Answer with Yes or No.	000000398153.jpg	train
31	0	yes	false	above	Is the backpack above the cat? Answer with Yes or No.	000000467197.jpg	train
32	0	yes	false	above	Is the person above the cake? Answer with Yes or No.	000000057100.jpg	train
33	0	yes	false	above	Is the giraffe above the person? Answer with Yes or No.	000000118465.jpg	train
34	1	yes	true	above	Is the umbrella above the cat? Answer with Yes or No.	000000291822.jpg	train
35	1	yes	true	left of	Is the person left of the cake? Answer with Yes or No.	000000573063.jpg	train
36	1	yes	true	below	Is the dog below the pizza? Answer with Yes or No.	000000508555.jpg	train
37	0	yes	false	below	Is the bottle below the cat? Answer with Yes or No.	000000047333.jpg	train
38	1	yes	true	above	Is the dog above the suitcase? Answer with Yes or No.	000000239158.jpg	train
39	0	no	true	left of	Is the apple left of the banana? Answer with Yes or No.	000000451953.jpg	train
40	0	yes	false	above	Is the chair above the dog? Answer with Yes or No.	000000431440.jpg	train
41	0	yes	false	above	Is the car above the cat? Answer with Yes or No.	000000376279.jpg	train
42	0	yes	false	above	Is the bed above the backpack? Answer with Yes or No.	000000390474.jpg	train
43	1	yes	true	below	Is the giraffe below the person? Answer with Yes or No.	000000063875.jpg	train
44	1	yes	true	above	Is the umbrella above the bed? Answer with Yes or No.	000000114421.jpg	train
45	1	no	false	above	Is the tv above the person? Answer with Yes or No.	000000458134.jpg	train
46	0	no	true	above	Is the umbrella above the dining table? Answer with Yes or No.	000000487061.jpg	train
47	0	yes	false	above	Is the tv above the truck? Answer with Yes or No.	000000160102.jpg	train
48	0	yes	false	below	Is the sandwich below the cell phone? Answer with Yes or No.	000000241836.jpg	train
49	0	no	true	below	Is the cat below the person? Answer with Yes or No.	000000069003.jpg	train
50	0	yes	false	left of	Is the bed left of the chair? Answer with Yes or No.	000000412377.jpg	train
51	0	yes	false	above	Is the microwave above the person? Answer with Yes or No.	000000355256.jpg	train
52	1	yes	true	right of	Is the laptop right of the cake? Answer with Yes or No.	000000518592.jpg	train
53	0	no	true	below	Is the bed below the person? Answer with Yes or No.	000000284589.jpg	train
54	1	yes	true	right of	Is the sandwich right of the laptop? Answer with Yes or No.	000000349230.jpg	train
55	0	yes	false	below	Is the couch below the horse? Answer with Yes or No.	000000096420.jpg	train
56	0	yes	false	below	Is the cat below the motorcycle? Answer with Yes or No.	000000556500.jpg	train
57	0	no	true	left of	Is the hair drier left of the person? Answer with Yes or No.	000000466763.jpg	train
58	1	yes	true	above	Is the cat above the couch? Answer with Yes or No.	000000212976.jpg	train
59	0	yes	false	above	Is the hair drier above the person? Answer with Yes or No.	000000134290.jpg	train
60	1	yes	true	below	Is the dining table below the teddy bear? Answer with Yes or No.	000000157159.jpg	train
61	1	yes	true	above	Is the pizza above the couch? Answer with Yes or No.	000000325102.jpg	train
62	1	yes	true	left of	Is the cake left of the bear? Answer with Yes or No.	000000536517.jpg	train
63	1	yes	true	above	Is the cat above the bird? Answer with Yes or No.	000000046378.jpg	train
64	0	yes	false	below	Is the bird below the umbrella? Answer with Yes or No.	000000137265.jpg	train
65	1	no	false	left of	Is the person left of the cat? Answer with Yes or No.	000000012827.jpg	train
66	1	yes	true	above	Is the bird above the zebra? Answer with Yes or No.	000000272729.jpg	train
67	1	yes	true	left of	Is the cat left of the teddy bear? Answer with Yes or No.	000000192575.jpg	train
68	0	no	true	left of	Is the cup left of the donut? Answer with Yes or No.	000000398093.jpg	train
69	0	yes	false	left of	Is the cup left of the hot dog? Answer with Yes or No.	000000082794.jpg	train
70	0	yes	false	above	Is the bench above the cat? Answer with Yes or No.	000000271943.jpg	train
71	0	yes	false	above	Is the person above the teddy bear? Answer with Yes or No.	000000252354.jpg	train
72	1	yes	true	below	Is the bed below the cat? Answer with Yes or No.	000000163738.jpg	train
73	1	yes	true	above	Is the umbrella above the dining table? Answer with Yes or No.	000000434857.jpg	train
74	1	yes	true	above	Is the pizza above the bowl? Answer with Yes or No.	000000520635.jpg	train
75	1	yes	true	above	Is the person above the pizza? Answer with Yes or No.	000000521218.jpg	train
76	1	yes	true	below	Is the couch below the frisbee? Answer with Yes or No.	000000088789.jpg	train
77	0	yes	false	below	Is the oven below the cake? Answer with Yes or No.	000000201925.jpg	train
78	1	yes	true	above	Is the bed above the laptop? Answer with Yes or No.	000000009119.jpg	train
79	0	yes	false	below	Is the toilet below the cat? Answer with Yes or No.	000000126810.jpg	train
80	1	yes	true	below	Is the teddy bear below the dog? Answer with Yes or No.	000000065443.jpg	train
81	1	yes	true	right of	Is the cow right of the bus? Answer with Yes or No.	000000084499.jpg	train
82	1	yes	true	above	Is the stop sign above the bicycle? Answer with Yes or No.	000000076648.jpg	train
83	1	yes	true	right of	Is the person right of the dining table? Answer with Yes or No.	000000502440.jpg	train
84	1	no	false	left of	Is the cat left of the microwave? Answer with Yes or No.	000000288106.jpg	train
85	1	yes	true	above	Is the pizza above the dining table? Answer with Yes or No.	000000053183.jpg	train
86	1	yes	true	right of	Is the couch right of the person? Answer with Yes or No.	000000010779.jpg	train
87	0	no	true	left of	Is the laptop left of the tv? Answer with Yes or No.	000000118302.jpg	train
88	0	no	true	above	Is the teddy bear above the toilet? Answer with Yes or No.	000000357814.jpg	train
89	1	yes	true	above	Is the pizza above the dining table? Answer with Yes or No.	000000477195.jpg	train
90	1	yes	true	above	Is the microwave above the person? Answer with Yes or No.	000000229787.jpg	train
91	1	yes	true	right of	Is the person right of the laptop? Answer with Yes or No.	000000318234.jpg	train
92	1	yes	true	below	Is the keyboard below the umbrella? Answer with Yes or No.	000000070459.jpg	train
93	1	yes	true	left of	Is the cat left of the keyboard? Answer with Yes or No.	000000403639.jpg	train
94	0	yes	false	right of	Is the teddy bear right of the suitcase? Answer with Yes or No.	000000336668.jpg	train
95	0	no	true	above	Is the dog above the couch? Answer with Yes or No.	000000246076.jpg	train
96	0	no	true	left of	Is the apple left of the orange? Answer with Yes or No.	000000253890.jpg	train
97	0	yes	false	above	Is the dog above the laptop? Answer with Yes or No.	000000464871.jpg	train
98	1	yes	true	left of	Is the horse left of the bus? Answer with Yes or No.	000000013943.jpg	train
99	1	yes	true	below	Is the laptop below the cat? Answer with Yes or No.	000000420375.jpg	train

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