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.
📊 News Media Pointcloud Text preparation notes
Overview
Preparation notes and schema examples for News Media tasks using Pointcloud Text data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Comments and corrections can be left in the discussion tab.
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.
Environment
| Item | Value |
|---|---|
| Python | >= 3.9 |
| torch | 2.x |
| safetensors | any recent |
Included Material
dataloader.py— loading, cleaning and split preparation.dataset_infos.json— schema and split metadata.metadata_sample.jsonl— readable records for schema checks.
Processing Choices
| Item | Value |
|---|---|
| Storage format | webdataset |
| Preprocessing | standard |
| Augmentation | none |
| Split strategy | leave one out |
| Sampling | stratified |
| Quality checks | adaptive |
| Labeling | pseudo label |
Data Sources
Source material is referenced but not bundled. Record the source version, retrieval date and any filtering rule so the same rows can be reproduced later.
Risks And Limitations
External sources may be unrepresentative, mis-licensed, or contain sensitive fields. Source review, privacy checks and bias analysis are the user's responsibility before training or redistribution.
Files
dataloader.py— primary artifactREADME.md— this documentationdataset_infos.json— schema metadatametadata_sample.jsonl— schema sampleexamples/sample_usage.py— usage sketch
License
Distributed under the cc-by-4.0 license. External datasets keep their own terms — check them separately.
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