argilla/ultrafeedback-binarized-preferences
Ultrafeedback binarized dataset using the mean of preference ratings Introduction This dataset contains the result of curation work performed by Argilla (using Argilla 😃). After visually browsing around some examples using the sort and filter feature of Argilla (sort by highest rating for chosen responses), we noticed a strong mismatch between the overall_score in the original UF dataset (and the Zephyr train_prefs dataset) and the quality of the chosen… See the full description on the dataset page: https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences.
| Author / organization | argilla |
|---|---|
| Downloads | 360 (as reported by Hugging Face) |
| Likes | 85 |
| Created | 15 November 2023 |
| Last updated at source | 30 November 2023 |
Popularity, last 3 days
360 now (+19 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- tensorblock/notus-7b-v1-GGUFModel · used to train
- TheBloke/notus-7B-v1-GGUFModel · used to train
- mradermacher/calme-2.4-llama3-70b-GGUFModel · used to train
- mradermacher/Llama-3-8B-Instruct-DPO-v0.2-i1-GGUFModel · used to train
- mradermacher/DPOpenHermes-7B-GGUFModel · used to train
- mradermacher/calme-2.2-qwen2.5-72b-i1-GGUFModel · used to train
- mradermacher/calme-2.4-llama3-70b-i1-GGUFModel · used to train
- QuantFactory/notus-7b-v1-GGUFModel · used to train
- MaziyarPanahi/notus-7b-v1-GGUFModel · used to train
- mradermacher/DPOpenHermes-7B-i1-GGUFModel · used to train
- Felladrin/Minueza-32M-ChatModel · used to train
- MaziyarPanahi/notus-7b-v1-Mistral-7B-Instruct-v0.1-GGUFModel · used to train
- mradermacher/DPOpenHermes-11B-GGUFModel · used to train
- mradermacher/DPOpenHermes-11B-i1-GGUFModel · used to train
- TheBloke/DPOpenHermes-7B-GGUFModel · used to train
- mradermacher/Llama-3-8B-Instruct-DPO-v0.4-i1-GGUFModel · used to train
- mradermacher/calme-2.2-qwen2.5-72b-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: Ultrafeedback binarized dataset using the mean of preference ratings Introduction This dataset contains the result of curation work performed by Argilla (using Argilla 😃). After visually browsing around some examples using the sort and fil → Ultrafeedback binarized dataset using the mean of preference ratings Introduction This dataset contains the result of curation work performed by Argilla (using Argilla 😃). After visually browsing around some examples using the sort and fil
Changes detected by Silytics between refreshes of the source.
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