Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
Paper
• 2512.03125 • Published
• 3
Dataset Preview
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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 2 new columns ({'image', 'question_id'}) and 3 missing columns ({'image_tokens', 'image_path', 'tokens'}).
This happened while the json dataset builder was generating data using
hf://datasets/ChristinaW/MoDE-official/instructions/GQA/test.json (at revision a6d02a3fc002f4cd07c37eeadab9da0b8b37908b)
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/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
question_id: string
image: string
text: string
answer: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 563
to
{'image_path': Value('string'), 'image_tokens': List(Value('int64')), 'text': Value('string'), 'answer': Value('string'), 'tokens': List(Value('int64'))}
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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 2 new columns ({'image', 'question_id'}) and 3 missing columns ({'image_tokens', 'image_path', 'tokens'}).
This happened while the json dataset builder was generating data using
hf://datasets/ChristinaW/MoDE-official/instructions/GQA/test.json (at revision a6d02a3fc002f4cd07c37eeadab9da0b8b37908b)
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.
image_path string | image_tokens list | text string | answer string | tokens list |
|---|---|---|---|---|
\/home\/xw6956\/CoIN\/cl_datasets\/GQA\/images\/2343296.jpg | [
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What do both the kitchen and the shirt have in common?
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What is the color of the man's hair?
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Is the cooking utensil that is to the left of the woman silver or brown?.
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Are there any guys to the right of the girl in the center?.
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Does the man appear to be sitting?.
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\/home\/xw6956\/CoIN\/cl_datasets\/GQA\/images\/2322055.jpg | [
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Who is wearing jeans?
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On which side of the image is the car?.
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On which side of the image is the pizza cutter?
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What kind of furniture is to the left of the pillows?
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What is the bag on?.
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Are there either any mirrors or spray cans in the photograph?.
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What's the character on?.
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Are there cabinets in the photo?.
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Do you see a towel that is not red?.
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2095,
3623,
6277,
7528,
3492,
2289,
3915,
1186,
4042,
5332,
5332,
4396,
3119,
7436... |
\/home\/xw6956\/CoIN\/cl_datasets\/GQA\/images\/2350113.jpg | [
4982,
6280,
5371,
2786,
7277,
1261,
1450,
5308,
1336,
650,
4815,
3523,
7225,
2988,
5070,
7485,
2333,
5304,
4727,
5770,
1598,
3455,
4218,
1704,
7316,
1411,
5363,
7688,
1502,
7462,
6256,
7223,
6482,
969,
1682,
2988,
6748,
1502,
3540,
6872,
... | <image>
Which side of the picture is the fork on?
Answer the question using a single word or phrase.<reserved08706>Right | Right | [
0,
8197,
4986,
6284,
5375,
2790,
7281,
1265,
1454,
5312,
1340,
654,
4819,
3527,
7229,
2992,
5074,
7489,
2337,
5308,
4731,
5774,
1602,
3459,
4222,
1708,
7320,
1415,
5367,
7692,
1506,
7466,
6260,
7227,
6486,
973,
1686,
2992,
6752,
1506,
3... |
\/home\/xw6956\/CoIN\/cl_datasets\/GQA\/images\/2412904.jpg | [
7569,
5531,
5479,
4966,
539,
1182,
4910,
277,
3703,
1153,
5767,
8061,
5985,
1897,
7518,
1259,
1101,
6705,
3508,
7040,
1516,
5595,
1319,
7504,
1597,
463,
4080,
3382,
4235,
4649,
7051,
2464,
3765,
1275,
2861,
6809,
3649,
6262,
2866,
6249,
... | <image>
What is the fruit on the full plate?.
Answer the question using a single word or phrase.<reserved08706>Orange | Orange | [
0,
8197,
7573,
5535,
5483,
4970,
543,
1186,
4914,
281,
3707,
1157,
5771,
8065,
5989,
1901,
7522,
1263,
1105,
6709,
3512,
7044,
1520,
5599,
1323,
7508,
1601,
467,
4084,
3386,
4239,
4653,
7055,
2468,
3769,
1279,
2865,
6813,
3653,
6266,
28... |
\/home\/xw6956\/CoIN\/cl_datasets\/GQA\/images\/2378590.jpg | [
5201,
2003,
555,
6107,
5415,
6872,
4185,
2743,
2021,
5159,
1018,
3471,
7875,
3185,
4833,
1708,
5925,
6082,
6750,
3154,
3282,
5907,
3482,
3610,
2868,
4303,
6778,
2313,
5156,
1628,
1209,
2026,
1592,
2286,
7744,
5308,
284,
4951,
3021,
5531,
... | <image>
Which color does the hallway have?
Answer the question using a single word or phrase.<reserved08706>White | White | [
0,
8197,
5205,
2007,
559,
6111,
5419,
6876,
4189,
2747,
2025,
5163,
1022,
3475,
7879,
3189,
4837,
1712,
5929,
6086,
6754,
3158,
3286,
5911,
3486,
3614,
2872,
4307,
6782,
2317,
5160,
1632,
1213,
2030,
1596,
2290,
7748,
5312,
288,
4955,
3... |
\/home\/xw6956\/CoIN\/cl_datasets\/GQA\/images\/2413944.jpg | [
7525,
7259,
5883,
6701,
6705,
7095,
4997,
1352,
4284,
1586,
7052,
8151,
1174,
6776,
4254,
86,
2864,
6949,
7513,
3525,
3732,
4857,
2491,
5087,
3080,
1990,
6244,
6488,
254,
6702,
1825,
7509,
1574,
6630,
4392,
1677,
4403,
1339,
5238,
7179,
... | <image>
Is the bus to the right or to the left of the plastic bag?
Answer the question using a single word or phrase.<reserved08706>Right | Right | [
0,
8197,
7529,
7263,
5887,
6705,
6709,
7099,
5001,
1356,
4288,
1590,
7056,
8155,
1178,
6780,
4258,
90,
2868,
6953,
7517,
3529,
3736,
4861,
2495,
5091,
3084,
1994,
6248,
6492,
258,
6706,
1829,
7513,
1578,
6634,
4396,
1681,
4407,
1343,
52... |
End of preview.
MoDE Dataset
This repository accompanies the NeurIPS 2025 paper:
“Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models.”
📄 arXiv • 💻 GitHub
Overview
The MoDE dataset is adapted from the CoIN benchmark.
The repository includes:
data/— Processed training and validation splits for all tasksinstructions/— Evaluation instructions and prompts
Datasets Download
Please refer to the original CoIN dataset documentation to download the raw datasets:
🔗 https://github.com/zackschen/CoIN?tab=readme-ov-file#dataset
The tasks include:
- ScienceQA
- ImageNet
- TextVQA
- GQA
- VizWiz
Citation
If you use MoDE or its processed data in your research, please cite the associated NeurIPS 2025 paper.
@inproceedings{weimitigating,
title={Mitigating Intra-and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models},
author={Wei, Xiwen and Munir, Mustafa and Marculescu, Radu},
booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems}
}
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