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AriaAICompany/or-bench-problems

published by @AriaAICompany

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
230
Last 30 days
169
Likes
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Size
2.3 MB
Created on HF
2026-09-20
Age
1 months ago

Description

ORBench problems and recorded results

100 synthetic inventory, assignment, and scheduling instances for the ORBench demo.

Organization dataset and collection are public. Live Gradio and the organization card are created by scripts/publish.py. Runnable Space source is stored in demo/. Collection: Aria AI — OR + LLM Evaluation.

Generated data, seed 25. All identifiers are synthetic. Gold objectives come from OR-Tools CP-SAT on the same schema that ships in each row. LLM rows in… See the full description on the dataset page: https://huggingface.co/datasets/AriaAICompany/or-bench-problems.

Tags

task_categories:othertask_categories:text-generationlanguage:enlanguage:falicense:cc-by-4.0size_categories:n<1Kregion:usoperations-researchmodel-benchmarkingstructured-generationsyntheticevaluation

README current version from Hugging Face

license: cc-by-4.0
pretty_name: ORBench Decision Problems
task_categories:

  • other
  • text-generation
    tags:
  • operations-research
  • model-benchmarking
  • structured-generation
  • synthetic
  • evaluation
    language:
  • en
  • fa
    size_categories:
  • n<1K

ORBench problems and recorded results

100 synthetic inventory, assignment, and scheduling instances for the ORBench demo.

Organization dataset and collection are public. Live Gradio and the organization card are created by scripts/publish.py. Runnable Space source is stored in demo/. Collection: Aria AI — OR + LLM Evaluation.

Generated data, seed 25. All identifiers are synthetic. Gold objectives come from OR-Tools CP-SAT on the same schema that ships in each row. LLM rows in results.jsonl are explicitly not_evaluated.

Files

  • data/problems.jsonl
  • data/results.jsonl
  • data/leaderboard.csv
  • data/splits.json
  • data/sample_preview.json
  • data/protocol.md
  • demo/ — runnable Gradio Space source
  • showcase/ — organization static card

Splits

  • development: 60 instances, templates D-A / D-B / D-C with a SCHEMA_BEGIN block
  • test: 40 instances, templates T-A / T-B in prose
  • interactive: 20 ids listed in splits.json

Development and test do not share (family, template_id) pairs. Near-duplicate prompt templates are therefore not reused across the split.

Metrics

Independent validators recompute inventory balance, pack multiples, budget, capacity, assignment uniqueness/eligibility/capacity, and schedule overlap/precedence/release. Optimality gap is reported only when gold status is optimal. An unevaluated method is never written as 0.

License

CC-BY-4.0. Keep the synthetic-data label.

README history 4 revisions

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.

  1. 2026-09-20Add collection slugc88f34b1.8 KB
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  2. 2026-09-20Fix dataset card task categoriesea5e4a71.8 KB
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  3. 2026-09-20Publish ORBench 100-problem catalog and recorded results3dfd4ca1.8 KB
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  4. 2026-09-20initial commit6eeb3f30 B
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Used by abliterated models none yet

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Read further

Community best practices (evaluation)
4 rules on judges, benchmarks, and reporting.
Reference-set drift over time
Why the same benchmark means different things across model generations.
How we label the method for each model
The 12 classification rules that assign M1-M8 to every model.
Non-English abliteration communities
The Korean scepticism about one-click tools and non-English benchmark blindspots.

Metadata

License
cc-by-4.0

Download the dataset

0

Copy 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("AriaAICompany/or-bench-problems")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="AriaAICompany/or-bench-problems", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/AriaAICompany/or-bench-problems
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