The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: AttributeError
Message: 'str' object has no attribute 'items'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
path=dataset,
token=hf_token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
path,
...<4 lines>...
**download_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1182, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1157, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 692, in get_module
config_name: DatasetInfo.from_dict(dataset_info_dict)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 284, in from_dict
return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'str' object has no attribute 'items'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.
Notes on Social Video Text data
Overview
Preparation notes and schema examples for Social tasks using Video Text data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
The whole setup fits in a single module on purpose.
Processing Choices
- Storage format: huggingface
- Preprocessing: auto ml
- Augmentation: mixup cutmix
- Split strategy: kfold 5
- Sampling: contrastive
- Quality checks: adaptive
- Labeling: weak supervision
Risks And Limitations
The loader cannot guarantee that an external source is representative, correctly licensed, or free of sensitive information. Users remain responsible for source review, privacy checks, and bias analysis before training or redistribution.
Included Material
dataloader.py— loading, cleaning, and split preparation code.dataset_infos.json— schema and split metadata.metadata_sample.jsonl— small, human-readable records for checking the schema.README.md— data card and usage notes.
Intended Use
The repository is suitable for testing the data pipeline, adapting it to a documented source, and preparing controlled research splits. Release status: metadata sample; full source data not bundled. The sample is for schema inspection only and should not be reported as a full training corpus.
Validation Checklist
- check source licenses before redistribution
- scan for duplicates across splits
- inspect missing values and label balance
- watch for modality-specific corruption
Files
dataloader.py— primary artifactREADME.md— this documentationdataset_infos.json— schema metadatametadata_sample.jsonl— schema sample
License
Released under cc0-1.0. Review the source-data terms separately when this repository is used with external datasets.
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