license: apache-2.0
The dataset contains 12k examples from Orca style dataset Open-Orca/OpenOrca.
heal 0 0 0
Intel/orca_dpo_pairs
published by @Intel
Alignment dataset tracked in the /datasets sub-catalog.
Lifetime downloads
124.5K
Last 30 days
2.1K
Likes
332
Size
34.6 MB
Created on HF
2023-09-21
Age
3 years ago
Description
The dataset contains 12k examples from Orca style dataset Open-Orca/OpenOrca.
Tags
README
README history
Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.
2023-11-29revise fields name.
Loading...2023-09-26add data.
Loading...2023-09-22Delete orca_rlhf.jsonl
Loading...2023-09-21initial commit
Loading...2023-09-21add data.
Loading...2023-09-21update doc.
Loading...
Used by abliterated models
Abliterated models in our catalog that declare this dataset in their YAML `datasets:` field. Sorted by downloads. This back-reference is unique to abliteration.org: Hugging Face does not surface it.
Used in recipes
Concrete workflows from the community craft-knowledge survey that call for this corpus. Each links to the full recipe with parameters, tools, expected output, and known failure modes.
Derived corpora
Other datasets in the catalog whose description names this one as a source (`based on`, `derived from`, `extended from`, `subset of`, `translated from`, etc.). This is the lineage-hint layer that complements the "Used by models" section above: many models cite the derived corpus rather than this root.
Community discussions
Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.
2025-11-24PRAdd LICENSE file
Loading...2024-04-11PRAdd DPO tag
Loading...2024-02-13Version of GPT4
Loading...2023-11-15Data generation process
Loading...2023-09-27Notifications from Datasets Server
Loading...
Related datasets
Read further
Community best practices (healing)
4 rules on DPO/ORPO, GSM8K lag, CHES filtering, and what heal does not do.
M4 - Abliterate then heal
Two-stage pipeline. DPO healing recovers benchmarks.
The politics of dataset curation
Whose preferences are baked into the healing mix, and why it matters.
Non-English abliteration communities
The Russian slop-removal framing and non-English healing corpora.
Metadata
Repository
Download the dataset
0Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.
Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("Intel/orca_dpo_pairs") Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Intel/orca_dpo_pairs", repo_type="dataset") git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Intel/orca_dpo_pairs