| ---
|
| pretty_name: Open Reason
|
| license: apache-2.0
|
| task_categories:
|
| - text-generation
|
| - question-answering
|
| language:
|
| - en
|
| tags:
|
| - reasoning
|
| - coding
|
| - mathematics
|
| - science
|
| - education
|
| - provenance
|
| - evaluation
|
| size_categories:
|
| - 1K<n<10K
|
| configs:
|
| - config_name: coding
|
| data_files:
|
| - split: train
|
| path: data/release/coding.parquet
|
| - config_name: reasoning
|
| data_files:
|
| - split: train
|
| path: data/release/reasoning.parquet
|
| - config_name: science
|
| data_files:
|
| - split: train
|
| path: data/release/science.parquet
|
| - config_name: mathematics
|
| data_files:
|
| - split: train
|
| path: data/release/mathematics.parquet
|
| - config_name: human
|
| data_files:
|
| - split: train
|
| path: data/release/human.parquet
|
| - config_name: education
|
| data_files:
|
| - split: train
|
| path: data/release/education.parquet
|
| - config_name: core
|
| data_files:
|
| - split: train
|
| path: data/release/core.parquet
|
| - config_name: verified
|
| data_files:
|
| - split: train
|
| path: data/release/verified.parquet
|
| - config_name: all
|
| data_files:
|
| - split: train
|
| path: data/release/all.parquet
|
| ---
|
|
|
| # Dataset Card for Open Reason
|
|
|
| **An open, verified dataset for coding, science, mathematics, and human reasoning.**
|
|
|
| - Dataset: https://huggingface.co/datasets/theworker02/open-reason
|
| - Small model: https://huggingface.co/theworker02/open-reason-small (~1.3M CPU causal LM; not 1B)
|
| - Medium model: https://huggingface.co/theworker02/open-reason-medium (~13.9M CPU causal LM; not 1B)
|
| - GitHub: https://github.com/theworker02/open-reason
|
| - Site: https://theworker02.github.io/open-reason/
|
|
|
| Open Reason is a provenance-aware corpus plus a reproducible pipeline. It is intended for training and evaluating systems on coding, mathematics, science, structured decision-making, and human problem solving.
|
|
|
| **Open Reason does not use Reddit as a data source.** Quora is not a primary source of truth. Case study: [docs/why-not-reddit.md](docs/why-not-reddit.md).
|
|
|
| ## Supported tasks
|
|
|
| - Code generation, debugging, SQL, systems simulations, packaging, and defensive validation
|
| - Structured reasoning (planning, constraints, causal and temporal problems)
|
| - Mathematical problem solving with symbolic or integer checks
|
| - Scientific calculation, modeling, and experimental-design counts
|
| - Teaching, explanation, and synthesis (human-authored)
|
| - Curriculum-aligned education tasks with concept ids and education levels
|
|
|
| ## Languages
|
|
|
| Prompts and solutions are English. Verified coding languages in v1.4.0: Python, SQL, JavaScript (when the sandbox can run them). Other languages appear as original concept tasks and are not marked verified.
|
|
|
| ## Source information
|
|
|
| | Kind | How to recognize | v1.4.0 |
|
| | --- | --- | --- |
|
| | Human-authored | `provenance.source_type = human_authored` | Teaching, synthesis, qualitative items |
|
| | Synthetic | `provenance.source_type = synthetic` plus `generator` | Math, science, most reasoning/coding, curriculum |
|
| | Source-derived | `open_source` / `community` with provenance URL/commit | GitHub-permissive original tasks; Stack Overflow *seeds* (`verbatim=false`) |
|
| | Verified | `quality.verified = true` and `verification.passed = true` | Coding sandbox, sympy, numeric, constraint checks |
|
| | Unverified | `quality.verified = false` | Reviewed teaching and misconception items (tier A) |
|
|
|
| Never treat synthetic rows as human-authored. Never treat unverified rows as executed.
|
|
|
| ## Licensing
|
|
|
| Original dataset content and pipeline: [Apache 2.0](LICENSE). Per-row `provenance.license_spdx` is authoritative for upstream GitHub/SO snippets.
|
|
|
| ## Provenance
|
|
|
| See [docs/provenance.md](docs/provenance.md). Unknown origin requires `unknown_reason`.
|
|
|
| ## Preprocessing
|
|
|
| Unicode NFKC, newline normalization, trimmed lists, `task_type` slugging. Meaning is not paraphrased.
|
|
|
| ## Deduplication
|
|
|
| Exact SHA-256 of canonical fields, normalized prompt/answer hashes, 64-bit simhash. Stats in the release manifest.
|
|
|
| ## Contamination controls
|
|
|
| `configs/denylist.yaml` fingerprints known eval sets. Hits are reported, not silently deleted. `--strict` fails the build on hits. Hold out `benchmarks/` from training.
|
|
|
| ## Quality controls
|
|
|
| Schema, SPDX allowlist, Reddit rejection, Quora-as-source rejection, PII heuristics, sandbox/sympy/numeric checks, community-votes-are-not-verification. Tiers S/A/B/C: [docs/quality.md](docs/quality.md). Reddit case study: [docs/why-not-reddit.md](docs/why-not-reddit.md). `evidence_confidence` is not a claim of truth.
|
|
|
| ## Intended uses
|
|
|
| Research on reasoning and code models; filtering by domain, language, tier, and license; evaluation using the separate `benchmarks/` suite.
|
|
|
| ## Limitations
|
|
|
| Small v1.4.0 corpus (~3.2K rows); still English-centric; verified coding languages limited to sandbox runtimes; teaching items are not executable oracles unless a numeric/sympy/sandbox check exists; third-party educational sites are registered but not scraped; denylists cannot be complete.
|
|
|
| ## Bias considerations
|
|
|
| Synthetic generators encode the authors' choice of topics (software engineering, STEM calculations, operational triage). They under-represent many human domains and languages.
|
|
|
| ## Ethical considerations
|
|
|
| No Reddit/social dumps. Case study: [docs/why-not-reddit.md](docs/why-not-reddit.md). Defensive security only. Minimize PII. Do not present this as a universal "human reasoning" sample.
|
|
|
| ## Maintenance
|
|
|
| Issues and PRs: https://github.com/theworker02/open-reason
|
| Hugging Face dataset: https://huggingface.co/datasets/theworker02/open-reason
|
| Small CPU model (~1.3M): https://huggingface.co/theworker02/open-reason-small
|
| Medium CPU model (~13.9M): https://huggingface.co/theworker02/open-reason-medium
|
| Releases are immutable; GitHub tags map to Hub revisions. Fixes ship in a new version. Shards are not stored in the GitHub git tree.
|
|
|
| ## Citation
|
|
|
| See `CITATION.cff` and the README BibTeX entry.
|
|
|
| ## v1.4.0 snapshot
|
|
|
| <!-- BEGIN_RELEASE_SNAPSHOT -->
|
| Pipeline version **1.4.0**.
|
|
|
| | Configuration | Examples | Verified | Human-authored |
|
| | --- | ---: | ---: | ---: |
|
| | coding | 400 | 386 | 0 |
|
| | reasoning | 580 | 580 | 0 |
|
| | science | 527 | 527 | 0 |
|
| | mathematics | 1050 | 1050 | 0 |
|
| | human | 289 | 261 | 28 |
|
| | education | 345 | 111 | 0 |
|
| | core | 3175 | 2899 | 28 |
|
| | verified | 2899 | 2899 | 0 |
|
| | all | 3175 | 2899 | 28 |
|
|
|
| Rebuild with `open-reason build --config all --seed 42 --out data/release`.
|
| Full tables: `data/release/statistics.md`.
|
| <!-- END_RELEASE_SNAPSHOT -->
|
|
|
|
|
