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Datasets:
cemiu
/
CompOrca

Tasks:
Text Classification
Modalities:
Tabular
Text
Languages:
English
Size:
10M - 100M
ArXiv:
License:
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Dataset release

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  1. .gitattributes +60 -0
  2. README.md +89 -0
  3. data/ambiguous/train-00000-of-00002.parquet +3 -0
  4. data/ambiguous/train-00001-of-00002.parquet +3 -0
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  32. data/compliance_flagged/train-00000-of-00002.parquet +3 -0
  33. data/compliance_flagged/train-00001-of-00002.parquet +3 -0
  34. data/labels/train-00000-of-00001.parquet +3 -0
  35. data/noncompliance/train-00000-of-00001.parquet +3 -0
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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README.md ADDED
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+ ---
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+ license: mit
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+ language:
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+ - en
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+ size_categories:
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+ - 1M<n<10M
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+ task_categories:
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+ - text-classification
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: compliance_clean
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+ path: data/compliance_clean/*.parquet
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+ - split: compliance
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+ path:
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+ - data/compliance_clean/*.parquet
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+ - data/compliance_flagged/*.parquet
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+ - split: noncompliance
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+ path: data/noncompliance/*.parquet
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+ - split: ambiguous
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+ path: data/ambiguous/*.parquet
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+ - config_name: labels
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+ data_files:
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+ - split: train
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+ path: data/labels/*.parquet
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+ ---
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+
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+ # CompOrca
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+
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+ > **Purpose:** A training-scale corpus of instruction-response examples for
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+ > studying model compliance and noncompliance.
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+
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+ Every row of OpenOrca, labelled COMPLIANCE or NONCOMPLIANCE. Each row was
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+ classified five times independently by an LLM judge. Rows where the five
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+ passes did not agree are kept as `ambiguous`.
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+
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+ An additional `compliance_clean` split contains unanimous-compliance rows that
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+ WildGuard also classified as compliant.
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+
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+ Source: [`Open-Orca/OpenOrca`](https://huggingface.co/datasets/Open-Orca/OpenOrca),
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+ split `train` at revision [`e9c87b4`](https://huggingface.co/datasets/Open-Orca/OpenOrca/tree/e9c87b4abb2609913751f9b26553fdb9c061796c) (4,233,923 rows).
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+
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+ | split | rows | |
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+ |---|---:|---|
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+ | `compliance_clean` | 3,769,249 | all five passes and WildGuard COMPLIANCE |
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+ | `noncompliance` | 54,004 | all five passes NONCOMPLIANCE |
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+ | `ambiguous` | 168,157 | the passes disagreed |
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+ | `compliance` | 4,011,762 | all five passes COMPLIANCE (composed of `compliance_clean` + `compliance_flagged`) |
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+
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+ Columns: `idx`, `id`, `system_prompt`, `question`, `response`, `label` —
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+ OpenOrca's columns plus `idx`, the row's position in the upstream split, and
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+ `label`, constant within each split (`COMPLIANCE`, `NONCOMPLIANCE`, and null
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+ respectively).
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+
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+ The recommended splits are `compliance_clean` and `noncompliance`. The
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+ `compliance` split is provided as a composite split combining `compliance_clean`
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+ and `compliance_flagged` (242,513 rows) without duplicating text data on disk;
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+ `ambiguous` is included for completeness.
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+
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+ ```python
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+ from datasets import load_dataset
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+ comp = load_dataset("cemiu/CompOrca", split="compliance_clean")
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+ noncomp = load_dataset("cemiu/CompOrca", split="noncompliance")
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+ ```
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+
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+ The `labels` config carries the labels for all 4,233,923 rows without the
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+ text: `idx`, `label` (`COMPLIANCE`, `NONCOMPLIANCE`, or null when the passes
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+ disagreed), `votes` (number of NONCOMPLIANCE votes, 0–5), and `pass_1` …
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+ `pass_5` (the individual judgments), and `wildguard_label` (WildGuard's
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+ response-refusal output: `COMPLIANCE`, `REFUSAL`, or `N/A`).
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+
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+ Human-annotated evaluation rows: [`cemiu/CompOrca-gold`](https://huggingface.co/datasets/cemiu/CompOrca-gold).
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+
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+ MIT, as with the underlying OpenOrca text.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{glass2026comporca,
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+ title = {{CompOrca}: Corpus-Scale Compliance Labelling of Instruction-Tuning Data},
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+ author = {Glass, Philipp E. and Miron, Alina},
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+ booktitle = {Proceedings of the First Workshop on Pluralistic Value Alignment of LLMs (PlurVA-LLM)},
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+ month = nov,
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+ year = {2026},
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+ address = {Hengqin, China},
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+ publisher = {Association for Computational Linguistics},
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+ note = {To appear}
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+ }
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+ ```
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