sardinelab/DocBlocks
Dataset Card for DocBlocks DocBlocks is a high-quality, multilingual document-level machine translation (MT) dataset designed to fine-tune large language models (LLMs) on long-context translation tasks. Unlike traditional sentence-level datasets, it contains full documents with natural discourse structures and contextual alignment, helping models maintain coherence, consistency, and high translation quality across longer texts. Curated by: Instituto Superior Técnico, Instituto… See the full description on the dataset page: https://huggingface.co/datasets/sardinelab/DocBlocks.
| Author / organization | sardinelab |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 202 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 4 August 2025 |
| Last updated at source | 4 August 2025 |
Popularity, last 2 days
202 now (+12 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- ynklab/Qwen2.5-7B-d2dModel · used to train
- ynklab/Qwen2.5-7B-Stair_FS4Model · used to train
- mradermacher/Tower-7B-d2d-GGUFModel · used to train
- ynklab/Qwen2.5-7B-Sep_1c1tModel · used to train
- ynklab/Qwen2.5-7B-Stair_2c1tModel · used to train
- ynklab/Qwen2.5-7B-Sep_2c1tModel · used to train
- ynklab/Qwen2.5-7B-Sep_0c1tModel · used to train
Recent changes
- 17 Oct 2026 Description: Dataset Card for DocBlocks DocBlocks is a high-quality, multilingual document-level machine translation (MT) dataset designed to fine-tune large language models (LLMs) on long-context translation tasks. Unlike traditional sentence-level dat → Dataset Card for DocBlocks DocBlocks is a high-quality, multilingual document-level machine translation (MT) dataset designed to fine-tune large language models (LLMs) on long-context translation tasks. Unlike traditional sentence-level dat
Changes detected by Silytics between refreshes of the source.
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