{
 "id": "SustcZhangYX/ChatEnv",
 "owner": "SustcZhangYX",
 "name": "ChatEnv",
 "downloads": 57,
 "likes": 2,
 "last_modified": "2025-07-31T14:32:03.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering",
  "text-generation"
 ],
 "citation": "@article{ZHANG2025100608,\ntitle = {Fine-Tuning Large Language Models for Interdisciplinary Environmental Challenges},\njournal = {Environmental Science and Ecotechnology},\npages = {100608},\nyear = {2025},\nissn = {2666-4984},\ndoi = {https://doi.org/10.1016/j.ese.2025.100608},\nurl = {https://www.sciencedirect.com/science/article/pii/S2666498425000869},\nauthor = {Yuanxin Zhang and Sijie Lin and Yaxin Xiong and Nan Li and Lijin Zhong and Longzhen Ding and Qing Hu}\n}",
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