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This corpus consists of over\n2 million real Chinese short texts with short summaries given by the author of\neach text. We also manually tagged the relevance of 10,666 short summaries with\ntheir corresponding short texts. Based on the corpus, we introduce recurrent\nneural network for the summary generation and achieve promising results, which\nnot only shows the usefulness of the proposed corpus for short text\nsummarization research, but also provides a baseline for further research on\nthis topic.","url_abs":"http://arxiv.org/abs/1506.05865v4","url_pdf":"http://arxiv.org/pdf/1506.05865v4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"lcsts-a-large-scale-chinese-short-text","repo_url":"https://github.com/CLUEbenchmark/CLGE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"lcsts-a-large-scale-chinese-short-text","repo_url":"https://github.com/CaseyPan/Chinese-Preprocessing","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"lcsts-a-large-scale-chinese-short-text","repo_url":"https://github.com/jessie0624/Automatic-Text-Summarization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"text-summarization","task_name":"Text Summarization"}],"methods":[],"datasets_introduced":[{"slug":"lcsts","name":"LCSTS","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/text-summarization-on-lcsts","task":"Text Summarization","dataset":"LCSTS","model":"LSTM-seq2seq","rank_in_archive_order":1,"of":1,"metrics":{"ROUGE-1":"46.48"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1506.05865","atlas_url":"https://app.syntology.ai/?focus=1506.05865","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1506.05865"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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