benchmark/README.md

# Agent Olympiad — team competition benchmark suite

Last updated: 2026-07-22

**Multi-agent / team contests only.** Solo Origin=1 packs (AIME, OlympicArena, HealthBench, HLE, …) were removed from this folder.

Canonical trackers: [`from_zhongzheng/README.md`](../agent-olympiad/from_zhongzheng/README.md) · [`olympiad/README.md`](../agent-olympiad/from_zhongzheng/olympiad/README.md) · [`art/README.md`](../agent-olympiad/from_zhongzheng/art/README.md).

**Grading**
- **RULE** — exact/normalized match, hidden tests, flags
- **RUBRIC** — open deliverable scored by rubric / jury / calibrated LLM judges

---

## Summary

| Datasets | Rule-based | Rubric / hybrid |
|:--------:|:----------:|:---------------:|
| **24** | **9** | **15** |

| Domain | Datasets |
|--------|:--------:|
| [Programming & CTF](#1-programming--ctf) | 3 |
| [AI olympiad](#2-ai-olympiad) | 1 |
| [Math modeling & proofs](#3-math-modeling--proofs) | 2 |
| [Lab / chemistry / astronomy / linguistics](#4-lab--chemistry--astronomy--linguistics) | 4 |
| [Business, law, ethics, debate](#5-business-law-ethics-debate) | 8 |
| [History, writing, quiz, puzzle, ARC](#6-history-writing-quiz-puzzle-arc) | 6 |
| **Total** | **24** |

---

## 1. Programming & CTF

### `CodeContests` — ICPC-style (AlphaCode) · RULE ✅

| | |
|---|---|
| **Questions** | **13,610** (train 13,328 · valid 117 · test 165) |
| **Team** | Origin **3** · shared machine + penalty |
| **Data** | `CodeContests/` (~7.6 GB) |
| **Link** | [HF deepmind/code_contests](https://huggingface.co/datasets/deepmind/code_contests) |

### `NYU_CTF_Bench` — CSAW CTF · RULE ✅

| | |
|---|---|
| **Questions** | 200 across 6 categories |
| **Team** | Origin **4–6** |
| **Data** | `NYU_CTF_Bench/` |
| **Link** | [NYU-LLM-CTF/NYU_CTF_Bench](https://github.com/NYU-LLM-CTF/NYU_CTF_Bench) |

### `Cybench` — professional CTF · RULE ✅

| | |
|---|---|
| **Questions** | **40** challenge packs |
| **Team** | Origin **4–6** |
| **Data** | `Cybench/benchmark/` |
| **Link** | [andyzorigin/cybench](https://github.com/andyzorigin/cybench) |

---

## 2. AI olympiad

### `IOAI` — International Olympiad in AI · RULE + RUBRIC ✅

| | |
|---|---|
| **Questions** | **17** tasks (2024–2026) |
| **Team** | Individual + **Team Challenge** (Rec 3–5) |
| **Data** | `IOAI/` — see local `README.md` |
| **Link** | [IOAI-official](https://ioai-official.org/resources/) |

---

## 3. Math modeling & proofs

### `modeling_agent` — HiMCM / MCM / ICM / IM2C / MidMCM · RUBRIC ✅

| | |
|---|---|
| **Questions** | 68 |
| **Team** | Origin **3–4** |
| **Data** | `modeling_agent/modeling_data_final.json` |
| **Link** | [COMAP](https://www.comap.com/contests) |

### `PUMaC_Power` — PUMaC Power Round · RUBRIC ✅

| | |
|---|---|
| **Questions** | ~19 Power packets (2007–2025) |
| **Team** | Origin **8** |
| **Data** | `PUMaC_Power/` |
| **Link** | [PUMaC Archives](https://jason-shi-f9dm.squarespace.com/archives) |

---

## 4. Lab / chemistry / astronomy / linguistics

### `EOES` — EOES / EUSO · RUBRIC ✅

| | |
|---|---|
| **Questions** | **2 exp/year** · ~90 PDFs / ~172 MB |
| **Team** | Origin **3** |
| **Data** | `EOES/` — see `INVENTORY.md` |
| **Link** | [eoes.science](https://www.eoes.science/Previous%20olympiads/previous.html) |

### `IChTo` — International Chemistry Tournament · RUBRIC ✅

| | |
|---|---|
| **Questions** | **106** · 9 sets |
| **Team** | Origin **3+** (Reporter / Opponent / Reviewer) |
| **Data** | `IChTo/` |
| **Link** | [ichto.org](http://ichto.org/en/problems/) |

### `IOAA` — Astronomy & Astrophysics (incl. Group) · RULE ✅

| | |
|---|---|
| **Questions** | ~174–176 PDFs; 16 Group/Team packets |
| **Team** | Individual + **Group 5** |
| **Data** | `IOAA/` |
| **Link** | [ioaastrophysics.org](https://ioaastrophysics.org/resources/problems-from-past-ioaa) |

### `IOL` — International Linguistics Olympiad · RULE ✅

| | |
|---|---|
| **Questions** | **130** source · 555 HF records |
| **Team** | Individual + **Team Contest 4** |
| **Data** | `IOL/` |
| **Link** | [ioling.org](https://ioling.org/problems/by_year/) · [HF agurung/ioling](https://huggingface.co/datasets/agurung/ioling) |

---

## 5. Business, law, ethics, debate

### `gcch_harvard` · RUBRIC ✅

| | |
|---|---|
| **Questions** | 7 cases |
| **Team** | Origin **2–5** |
| **Data** | `gcch_harvard/` |

### `cfa_research_challenge` · RUBRIC ✅

| | |
|---|---|
| **Questions** | **19** inferred tasks + champion reports |
| **Team** | Origin **3–5** |
| **Data** | `cfa_research_challenge/` — `tasks.json` + PDFs |

### `wharton_investment` · RULE + RUBRIC ✅

| | |
|---|---|
| **Questions** | 4 cases |
| **Team** | Origin **4–7** |
| **Data** | `wharton_investment/` |

### `IEO` — International Economics Olympiad · RULE + RUBRIC ✅

| | |
|---|---|
| **Questions** | economics + **team business case** PDFs |
| **Team** | Case Rec **3–5** |
| **Data** | `IEO/` |

### `vis_moot` · RUBRIC ✅

| | |
|---|---|
| **Questions** | 7 Problems |
| **Team** | Origin **2–8** |
| **Data** | `vis_moot/` |

### `ethics_bowl_appe` / `ethics_bowl_nhseb` · RUBRIC ✅

| | |
|---|---|
| **Questions** | ~140 APPE cases · 15 NHSEB cases |
| **Team** | APPE **5** · NHSEB **3–7** |
| **Data** | `ethics_bowl_appe/` · `ethics_bowl_nhseb/` |

### `debatebench` · RUBRIC ✅

| | |
|---|---|
| **Questions** | 360 scored speeches / 45 debates |
| **Team** | Origin **8** (4×2) |
| **Data** | `debatebench/` |

---

## 6. History, writing, quiz, puzzle, ARC

### `History_Olympiad` · RULE + RUBRIC ✅

| | |
|---|---|
| **Questions** | ~90 PDFs (6 editions) |
| **Team** | Bee + **Bowl team** |
| **Data** | `History_Olympiad/` |

### `WSC_Writing` · RUBRIC ✅

| | |
|---|---|
| **Questions** | **42** guiding Qs |
| **Team** | Origin **3** |
| **Data** | `WSC_Writing/` |

### `science_bowl` · RULE ✅

| | |
|---|---|
| **Questions** | **~23,691** |
| **Team** | 4 + alternate |
| **Data** | `science_bowl/` |

### `qanta` · RULE ✅

| | |
|---|---|
| **Questions** | ~100,000 |
| **Team** | 4 |
| **Data** | `qanta/` |

### `MIT_Mystery_Hunt` · RULE ✅

| | |
|---|---|
| **Questions** | **4,202** keyed answers |
| **Team** | Origin **5–150** · Rec 8–20 |
| **Data** | `MIT_Mystery_Hunt/` |

### `ARC-AGI-2` · RULE ✅

| | |
|---|---|
| **Questions** | 1,000 train + 120 eval |
| **Team** | ARC Prize **team** format |
| **Data** | `ARC-AGI-2/` |
| **Link** | [arcprize/ARC-AGI-2](https://github.com/arcprize/ARC-AGI-2) |

---

## Downloading

```bash
hf download deepmind/code_contests --repo-type dataset --local-dir benchmark/CodeContests
hf download IOAI-official/IOAI2025 --repo-type dataset --local-dir benchmark/IOAI/IOAI2025
hf download agurung/ioling --repo-type dataset --local-dir benchmark/IOL/ioling_hf
git clone --depth 1 https://github.com/dgulotta/mh_answers.git benchmark/MIT_Mystery_Hunt/mh_answers
git clone --depth 1 https://github.com/arcprize/ARC-AGI-2.git benchmark/ARC-AGI-2
# CTF / PDF olympiads: see from_zhongzheng/olympiad deep-dive cards
```