Error code:   ConfigNamesError
Exception:    TypeError
Message:      SplitInfo.__init__() got an unexpected keyword argument 'path'
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 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 622, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 396, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 319, in _from_yaml_dict
                  yaml_data["splits"] = SplitDict._from_yaml_list(yaml_data["splits"])
                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/splits.py", line 610, in _from_yaml_list
                  return cls.from_split_dict(yaml_data)
                         ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/splits.py", line 580, in from_split_dict
                  split_info = SplitInfo(**split_info)
              TypeError: SplitInfo.__init__() got an unexpected keyword argument 'path'

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Al-Mawrid YouTube Transcripts Corpus

Full transcripts from Al-Mawrid's official YouTube channels. Each row is one complete video — all caption chunks merged in chronological order.

Source: YouTube caption tracks. One row per video; source_url links to the video.

Data format

Each corpus is exported in two merged forms (one row per complete document):

File	Purpose
`data/youtube.json`	Pretty-printed JSON array — sprint export with human-readable field names
`data/youtube.csv`	UTF-8 CSV with BOM — comma-separated, quoted fields, for Excel and Hugging Face

Intermediate chunk files (youtube_chunks.jsonl) store exact Azure index documents (PascalCase field names, all retrievable fields, no embeddings) and are not uploaded. Multi-chunk sources (books, YouTube) are merged into a single row before export. Index-only fields (document_id, content_type, chunk_index, embeddings) are excluded from the public release.

CSV files use UTF-8 with BOM, comma delimiter, and quoted fields so Arabic, Urdu, and English display correctly in Excel and the Hugging Face dataset viewer.

Field descriptions

Column	Type	Description
`title`	string	Title of the item (forum thread title, book title, or video title)
`text`	string	Full merged content (Q&A: answer; book: full text; YouTube: full transcript)
`source_url`	string	Link back to the original source (forum URL, PDF, or YouTube video)
`language`	string	ISO-style language code (`en`, `ur`, `ar`) or `unknown`

Python usage example

from datasets import load_dataset

ds = load_dataset("Al-Mawrid-US/almawrid-youtube", split="train")

# Browse the first item
print(ds[0]["title"])
print(ds[0]["text"][:500])

# Filter by language
english = ds.filter(lambda x: x["language"] == "en")
print(f"English records: {len(english)}")

Licence & permitted uses

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence.

You are free to share and adapt the data for any purpose, including commercial use, provided that you give appropriate credit to Al-Mawrid, provide a link to the licence, and indicate if changes were made.

Citation

If you use this dataset in your work, please cite:

@dataset{almawrid_youtube_2026,
  author       = {Al-Mawrid},
  title        = {Al-Mawrid YouTube Transcripts Corpus},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/Al-Mawrid-US/almawrid-youtube}},
  license      = {CC BY 4.0}
}

Provenance

Exported from the Al-Mawrid Azure AI Search knowledge index. Chunk-level index fields and embeddings are excluded from this public release.

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