datalicense

All datasets / eilamc14

eilamc14/wikilarge-clean

129 downloads in 30 days0 likesLast modified 25 Jan 2026View on Hugging Face
Unclear

The checks could not identify a recognised licence ID for at least one declared source dataset.

Declared licence
cc-by-sa-4.0, from the tagEvidence: README.md at 216fedb
Licence files
No licence file at the top level of the repositoryEvidence: file list at 216fedb
Declared sources
3
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

Tasks

Citation text from the card

- **Provenance:** Derived from English Wikipedia and Simple English Wikipedia content.
- **License:** `CC BY-SA 4.0` (ShareAlike applies). You must provide attribution (TASL: Title, Author(s), Source, License) and distribute derivatives under the same license.

---


Please cite **both** the widely used WikiLarge reference **and** this cleaned subset:

**Original alignment (WikiLarge):**
Zhang, X., & Lapata, M. (2017). *Sentence Simplification with Deep Reinforcement Learning*. In EMNLP 2017 (pp. 584–594). Association for Computational Linguistics. doi:10.18653/v1/D17-1062

**This dataset (cleaned subset):**  
Cohen, E., Bul, I., Inbar, D., & Loewenbach, O. (2026). Simplify-This: A Comparative Analysis of Prompt-Based and Fine-Tuned LLMs. arXiv. arxiv.org/abs/2601.05794

WikiLarge BibTeX:

    @inproceedings{zhang-lapata-2017-sentence,
      title     = {Sentence Simplification with Deep Reinforcement Learning},
      author    = {Zhang, Xingxing and Lapata, Mirella},
      booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
      pages     = {584--594},
      year      = {2017},
      address   = {Copenhagen, Denmark},
      publisher = {Association for Computational Linguistics},
      doi       = {10.18653/v1/D17-1062},
      url       = {https://aclanthology.org/D17-1062/}
    }

Wikilarge cleaned BibTeX:

    @misc{simplifythis2025,
      author       = {Cohen, Eilam and others},
      title        = {Simplify-This: A Com

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": "eilamc14/wikilarge-clean" })
signal: "unclear"
stated_licence: "cc-by-sa-4.0"
sources: 3