All datasets / AmazonScience

AmazonScience/xtr-wiki_qa

557 downloads in 30 days5 likesLast modified 24 Jul 2023View on Hugging Face

Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: cdla-permissive-2.0, from the tagEvidence: README.md at 49cc4ce
Licence files: LICENSE.md, licence not identifiedEvidence: LICENSE.md at 49cc4ce
Declared sources: 1
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Sources listed in the card metadata

wiki_qaotherUnclearEvidence: README.md at 3f10467

Tasks

Citation text from the card

@inproceedings{gupta2023cross-lingual,
  title={{Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages}},
  author={Gupta, Shivanshu and Matsubara, Yoshitomo and Chadha, Ankit and Moschitti, Alessandro},
  booktitle={Findings of the Association for Computational Linguistics: ACL 2023},
  pages={14078--14092},
  year={2023}
}

All datasets marked Unclear | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "AmazonScience/xtr-wiki_qa" })
signal: "unclear"
stated_licence: "cdla-permissive-2.0"
sources: 1