{
 "id": "calfa-ai/baybars",
 "owner": "calfa-ai",
 "name": "baybars",
 "downloads": 216,
 "likes": 3,
 "last_modified": "2026-09-11T08:28:40.000Z",
 "stated_licence": "etalab-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
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 ],
 "citation": "@unpublished{vidalgorene:hal-05693582,\n  TITLE = {{Is a Generic Dataset and Foundation VLM for Arabic HTR Worth It? Lessons from AMIDDA}},\n  AUTHOR = {Vidal-Gor{\\`e}ne, Chahan and Lucas, No{\\\"e}mie and Salah, Cl{\\'e}ment and Decours-Perez, Ali{\\'e}nor},\n  URL = {https://enc.hal.science/hal-05693582},\n  NOTE = {working paper or preprint},\n  YEAR = {2026},\n  MONTH = Jul,\n  KEYWORDS = {Arabic HTR ; Vision-Language Models ; In-Context Learning ; Data Bootstrapping ; DISTAM},\n  PDF = {https://enc.hal.science/hal-05693582v1/file/main.pdf},\n  HAL_ID = {hal-05693582},\n  HAL_VERSION = {v1},\n}",
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 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "39995afe1b35c241f919a57f1086aa8f4c35140f",
 "stated_evidence": "https://huggingface.co/datasets/calfa-ai/baybars/blob/39995afe1b35c241f919a57f1086aa8f4c35140f/README.md",
 "file_evidence": "https://huggingface.co/datasets/calfa-ai/baybars/tree/39995afe1b35c241f919a57f1086aa8f4c35140f",
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}