datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Dolci-Instruct-SFT-enPurified-openai-messages
enPurified: Dolci-Instruct-SFT
The original dataset https://huggingface.co/datasets/allenai/Dolci-Instruct-SFT was reduced from ~2,155,000 rows to 38,829 of English only prose.
Project Overview
The enPurified collection is an initiative to curate high-fidelity English prose datasets for language modeling. While the open-source ecosystem is rich with datasets targeting mathematics, code generation, and multilingual capabilities, there is a distinct need for corpora focused… See the full description on the dataset page: https://huggingface.co/datasets/enPurified/Dolci-Instruct-SFT-enPurified-openai-messages.dfm12-dolci-pl
dfm12-dolci-pl
Published accepted-only DFM12 subset. Local audit-snapshot fields describe the pre-publication build, not Hub publication status.
Only completed kept decisions with all three scores at least 4 are included, after deterministic gates.
Automated review is not native-speaker certification. Exclusion metadata contains only IDs/status/errors/scores/reasons, never excluded conversations.
Full native messages and explicit assistant target indices are preserved. OPUS… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/dfm12-dolci-pl.dfm12-dolci-sv
dfm12-dolci-sv
Published accepted-only DFM12 subset. Local audit-snapshot fields describe the pre-publication build, not Hub publication status.
Only completed kept decisions with all three scores at least 4 are included, after deterministic gates.
Automated review is not native-speaker certification. Exclusion metadata contains only IDs/status/errors/scores/reasons, never excluded conversations.
Full native messages and explicit assistant target indices are preserved. OPUS… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/dfm12-dolci-sv.dfm12-dolci-nl
dfm12-dolci-nl
Published accepted-only DFM12 subset. Local audit-snapshot fields describe the pre-publication build, not Hub publication status.
Only completed kept decisions with all three scores at least 4 are included, after deterministic gates.
Automated review is not native-speaker certification. Exclusion metadata contains only IDs/status/errors/scores/reasons, never excluded conversations.
Full native messages and explicit assistant target indices are preserved. OPUS… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/dfm12-dolci-nl.