# Embodied First Exam: leaderboard data

The numbers behind the [leaderboard](https://www.embodied-first-exam.ai/leaderboard/), one row per counted attempt, and a
link from every attempt to its full run. Snapshot of 5 November 2026; the newest counted attempt finished on
2 November 2026. Task set: the exam repository [mll-lab-nu/embodied-first-exam](https://github.com/mll-lab-nu/embodied-first-exam)
at main `ebd10b62b0`.

## What is counted

| | tasks | tests (task x mode) | privileged | standard | realtime | suites |
|---|---|---|---|---|---|---|
| all | 1,156 | 2,288 | 1,047 | 1,155 | 86 | 35 |
| core | 456 | 901 | 391 | 456 | 54 | |

- **Core** = `docs/core_set.toml` of that commit. Each core task has a default mode: 403 standard, 53 realtime.
- **One attempt per (agent, test):** the latest finished valid attempt, success or failed. Infrastructure failures
  caught before grading are re-run and do not count; ablation and quick-check runs are left out. An attempt that an
  API or infrastructure error ended after grading keeps its verdict and is labelled in its run.
- **Success** = verifier reward >= 1 within the token budget.
- **Missing counts as failed:** a test with no counted attempt is a failure (59 of the 6,307 pairs).
- **Views:** Core = each core task's default test (456). Privileged / Standard / Realtime = every core test of that
  mode (391 / 456 / 54). Rate = solved / tests of the view.

| agent | Core /456 | Privileged /391 | Standard /456 | Realtime /54 | missing |
|---|---|---|---|---|---|
| Codex · GPT-6 Astra | 150 (32.9%) | 303 (77.5%) | 156 (34.2%) | 17 (31.5%) | 3 |
| Claude Code · Opus 5.5 | 107 (23.5%) | 231 (59.1%) | 114 (25.0%) | 4 (7.4%) | 1 |
| Antigravity · Gemini 4 Argon | 89 (19.5%) | 164 (41.9%) | 96 (21.1%) | 4 (7.4%) | 0 |
| Antigravity · Gemini 3.8 Flash | 27 (5.9%) | 96 (24.6%) | 27 (5.9%) | 1 (1.9%) | 0 |
| Claude Code · Qwen3.8 Max | 18 (3.9%) | 37 (9.5%) | 18 (3.9%) | 1 (1.9%) | 48 |
| dsh · DeepSeek V4.1 Flash | 12 (2.6%) | 69 (17.6%) | 12 (2.6%) | 1 (1.9%) | 0 |
| Claude Code · GLM 5.3 Flash | 11 (2.4%) | 36 (9.2%) | 11 (2.4%) | 0 (0.0%) | 7 |

"missing" counts tests over all three modes.

## Files

| file | content |
|---|---|
| `numbers.json` | the sizes above, the rule, and per agent and view: solved, tests, rate, missing |
| `leaderboard_core.csv` | 901 core tests x 7 agents = 6,307 rows: verdict (`success` / `failed` / `missing`), `counts_as`, the attempt's `trial_id` and `hf_slug` |
| `trials.csv` | the 6,248 counted attempts: suite, task dir, setting, is_default, run, verdict, reward, finished_at (UTC), `in_common7` (the 843 core tests all seven agents have a result on), `hf_slug`, `has_video`, `hf_run_dir`, `viewer_url`, `video_url` |
| `tests.csv` | the 901 core tests: default or not, in the common set or not, and which runs lack a result |
| `check_coverage.py` | checks that every row of `trials.csv` has its run in [MLL-Lab/embodied-exam-runs](https://huggingface.co/datasets/MLL-Lab/embodied-exam-runs) with the same outcome |

`run_id` is `<harness>-<model>-<effort>`, e.g. `codex-gpt6_astra-high`. A task dir is `<suite>-<task>-<mode>`.

## Opening a run

Every counted attempt has a run in the public dataset `MLL-Lab/embodied-exam-runs`:

- slug = `<task dir>--<last 7 characters of trial_id>`, lower case (the `hf_slug` column);
- viewer: `https://www.embodied-first-exam.ai/run/?r=<slug>`;
- files: `runs/<first 2 hex digits of sha1(slug)>/<slug>/`: `run.json` (every step, tool call and output),
  `trajectory.jsonl.gz` (the agent's full trajectory), `steps.bin` (the images the agent saw), and `replay.mp4` +
  `poster.jpg` when the attempt has a video (privileged attempts that submitted nothing have none).

```
huggingface-cli download MLL-Lab/embodied-exam-runs --repo-type dataset \
  --include "runs/e1/ambench-cabinet-pick-place-fahexa-i00-privileged--zvvkvgc/*" --local-dir efe-runs
python3 check_coverage.py trials.csv      # no token needed; HF may rate-limit anonymous calls for a few minutes
```

At `MLL-Lab/embodied-exam-runs@dfb89b3` the check passes for all 6,248 counted attempts (5,839 with a video).

## How this maps to the website

- Leaderboard page: `numbers.json` `per_agent` (Core and the three mode views).
- Task pages: each task's Results row = `leaderboard_core.csv` (S = success, F = failed or missing).
- "Watch the run" links and the `/run/` page: `viewer_url`, served from `MLL-Lab/embodied-exam-runs`.
- A run whose last attempt an API or infrastructure error ended is shown with its verdict as counted and labelled
  ("Ended by an API error"); its `run.json` has `ended_by`.