CoolFace
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qmsum

pszemraj /qmsum-cleaned qmsum-cleaned prefixes It's worth noting that each "document" in input is prefixed by a question/prompt on what the model is supposed to do. You may want to explicitly handle this in some way, or prefix your models trained on this dataset. Most frequent "prefixes" separated via sentence-splitter in the train split: Sentence Count 0 Summarize the whole meeting. 121 1 Summarize the meeting 25 2 What did the team discuss about the product cost? 4 3 How did… See the full description on the dataset page: https://huggingface.co/datasets/pszemraj/qmsum-cleaned.tabularsummarization1K<n<10K14 likes284 downloads9mo agoHugging Faceioeddk /qmsumThe test dataset is from LongBench's QMSum task. The train dataset is from the original QMSum's repository. There is no built-in validation set. For validation, please take a portion of the training dataset. text1K<n<10K0 likes106 downloads2y agoHugging FaceAhren09 /QMSumtextn<1K1 likes47 downloads9mo agoHugging Facengong123 /qmsum-test281-qwen3.5-4b-results QMSum test split (281 pairs) — Qwen3.5-4B-UD-Q8_K_XL.gguf results Benchmark results, not a benchmark. Every query/reference pair of the complete QMSum test split run through a file-reading agent, then graded three ways. Produced with harness_bench. The source corpus (QMSum, Yale-LILY, MIT) is not redistributed here. Meetings are referenced by content fingerprint (transcript_file); gold reference summaries are omitted. Join against the upstream corpus if you need them.… See the full description on the dataset page: https://huggingface.co/datasets/ngong123/qmsum-test281-qwen3.5-4b-results.tabularsummarizationn<1K0 likes47 downloads8d agoHugging FaceMocktaiLEngineer /qmsum-processedtext1K<n<10K0 likes40 downloads3y agoHugging Facemattercalm /qmsumtabularn<1K1 likes39 downloads2y agoHugging Face