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ismailemir/arxiv-corpus

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Hugging Face2026-01-03 更新2026-03-29 收录
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--- license: apache-2.0 tags: - arxiv - papers - abstracts - nlp - scientific-papers size_categories: - 1M<n<10M --- # ArXiv Paper Abstracts Collection of ArXiv paper abstracts in JSON format for search and retrieval tasks. ## 📊 Dataset Info - **Papers**: 2+ million - **Format**: JSON Lines (one object per line) - **Source**: [Kaggle ArXiv Dataset](https://www.kaggle.com/datasets/Cornell-University/arxiv) - **Updated**: Version 266 ## 📝 Format Each line contains a JSON object: ```json {"abstract": "Paper abstract text..."} ``` ## 🚀 Quick Start ```python from huggingface_hub import hf_hub_download import json # Download corpus corpus_path = hf_hub_download( repo_id="ismailemir/arxiv-corpus", filename="arxiv_abstracts.json", repo_type="dataset" ) # Load corpus corpus = [] with open(corpus_path, 'r') as f: for line in f: row = json.loads(line) corpus.append(row["abstract"]) print(f"Loaded {len(corpus):,} abstracts") ``` ## 💡 Use Cases - 📚 Academic paper search - 🔍 Information retrieval research - 🤖 Training search models - 📊 Text mining and analysis - 🧪 Benchmarking retrieval systems ## 🔗 Related - 🔍 Search Indices: [ismailemir/arxiv-indices](https://huggingface.co/datasets/ismailemir/arxiv-indices) - 🔬 Original Dataset: [Cornell ArXiv](https://www.kaggle.com/datasets/Cornell-University/arxiv) ## 📄 License Apache 2.0 - Please cite ArXiv if using this data. ## 🙏 Citation ```bibtex @article{clement2019arxiv, title={On the Use of ArXiv as a Dataset}, author={Clement, Colin B and Bierbaum, Matthew and O'Keeffe, Kevin P and Alemi, Alexander A}, journal={arXiv preprint arXiv:1905.00075}, year={2019} } ``` ## 📧 Contact For issues or questions, please open an issue on the Hugging Face dataset page.
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