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Datasets:
dmgcsilva
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InstructionVidDial

Tasks:
Text Generation
Image-Text-to-Text
Languages:
English
Size:
1K<n<10K
Dataset card Files
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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              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/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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InstructionVidDial

InstructionVidDial is a multimodal dialogue dataset for conversational instructional plan guidance, introduced alongside VIGiA at EACL 2026.

Overview

The dataset extends TastyVidDial with:

  • DIY plans sourced from COIN, expanding coverage beyond cooking
  • Plan-aware VQA (pVQA) turns naturally woven into dialogues

It contains 6,760 dialogues with ~114k turns across Cooking and DIY domains, covering:

  • Plan-Grounded Answer Generation (PGAG)
  • Plan-aware Visual Question Answering (pVQA)
  • Visually-Informed Step Generation (VSG)
  • Conversational Video Moment Retrieval (CVMR)

Links

  • Code & full documentation: github.com/dmgcsilva/vigia
  • Model weights: VIGiA
  • Paper: VIGiA: Instructional Video Guidance via Dialogue Reasoning and Retrieval (EACL 2026)

Citation 

@inproceedings{gloria-silva-etal-2026-vigia,
    title     = "{VIG}i{A}: Instructional Video Guidance via Dialogue Reasoning and Retrieval",
    author    = "Gl{\'o}ria-Silva, Diogo and Semedo, David and Magalh{\~a}es, Jo{\~a}o",
    booktitle = "Proceedings of the 2026 Conference of the European Chapter of the Association for Computational Linguistics",
    year      = "2026",
    publisher = "Association for Computational Linguistics",
}
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