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… See the full description on the dataset page: https://huggingface.co/datasets/pszemraj/qmsum-cleaned.
| Author / organization | pszemraj |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 523 (as reported by Hugging Face) |
| Likes | 14 |
| Created | 5 May 2023 |
| Last updated at source | 29 December 2025 |
Popularity, last 3 days
523 now (+39 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: 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. → 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.
Changes detected by Silytics between refreshes of the source.
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