# Release details — RoboDojo seed 0

## 1. Selection

The release is the complete seed 0 that was scored, chosen exactly as the merge that produced the official summary
chose it. Each evaluation round ran one layout for every task configuration that uses it — all 54 configurations
(the 42 tasks, the 12 Generalization tasks twice, standard and `_random`) on layouts 0–24, the 30 others on layouts
25–49, and the refill layouts where needed — and a round's job list records every attempt. Per round and
configuration the merge keeps the last attempt of each job and, among them, ranks a scored episode (`success` /
`fail`) above anything else. The episode's official verdict is the evaluator's own `_result.json` entry for that
layout.

That gives 2,116 chosen episodes: 2,100 scored ones — the table — and 16 the evaluator marked
unstable — `unstable/`. Per task: 50 rows; per Generalization task 25 standard + 25 randomized; layouts
0–55, of which 15 are refill layouts (`imitate_sorting_sequence` 6, `deposit_coin` 5, `fill_egg_holder` 3, `general_pickup` 1).

Not released (90 rows in `results/seed0/EXCLUDE_s0.csv`): `development round (spare layouts)` 56, `infrastructure retry` 33, `duplicate` 1.
An infrastructure retry is an attempt that ended in an infrastructure failure — a provider stream error, a simulator
fault, out of memory at start-up — or did not finish, and was run again; the re-run is the released episode. The
development rounds ran spare layouts before the evaluation and are not part of the seed.

## 2. What a row is built from

All from the session folder of the episode and the evaluator's result folder; nothing else is read.

| column | source |
|---|---|
| `outcome`, `score` | the evaluator's `_result.json` entry for the layout (identical to the job record on every row) |
| `official` | `episode_metrics.json`: `official_take_action_cnt`, `action_budget`, `ended_by` |
| `total_wall_s`, `timing` | `episode.json` `started_wall`; `episode_metrics.json` `wall_duration_s` (`total_wall_s`) and `control_time_s` (`sim_clock_s`); `tool_timing.jsonl` (`sim_s`, the sum of its `duration_s`; `agent_s` is the rest). The job records' own `wall_s` equals `wall_duration_s` except on the 54 episodes of layout 0, where it also counts the simulator's boot; `wall_duration_s` is used on every row |
| `tokens` | the last `token_count` event of the codex session log, `total_token_usage`; from that log only these four totals and the images of §4 are used |
| `model`, `effort`, `backend` | the frozen model settings in `episode.json` |
| `agent_messages`, `traces`, `tools` | `agent_events.jsonl` (the codex event stream) and `preload/` (the launch observation) |
| `instruction`, `prompt_text` | `goal/INSTRUCTION.md`, `PROMPT.md` |
| `frame_first`, `frame_last`, `video_preview`, `videos` | the evaluator's recordings |

`traces[]`: step 0 from `preload/launch_message.md` and the three preload images; then, in file order, one element
per completed `agent_message`, per `mcp_tool_call` (at its completion; a call that never completed — the episode
ended while it ran — at its start, with `ok` NULL), per `error` item and per stream `error` / `turn.failed` event.
69,986 tool calls, 1,189 of them still running when their episode ended.

## 3. Sanitization

- Absolute home-directory paths are rewritten to `<HOME>/…` and the codex home to `<CODEX_HOME>/…`, in every text
  of the table, the event streams and the documents.
- Dropped: the codex `thread_id` (2,106 values, one per event stream). No account,
  lease, slot or session-hash field reaches any published file: the job records, `episode_metrics.json`'s account
  block and the codex session log are not published, and only the four token totals and image parts are taken from
  the latter.
- The scan: every text byte that is uploaded — all string values of the three tables (nested ones included), the
  event streams, the documents, the CSV manifests, the views' JSON members, the card and these docs — is searched
  for absolute home-directory paths, local user, host and directory names, e-mail
  addresses, JWT / API-key / Hub-token shapes, the OpenAI creator user and account id fields, account and session
  hashes, and OpenAI user ids. Hits: **0**
  over 2,433 text files and the three tables.

## 4. Encoding

- **Recordings**: the evaluator's files.
- **`frame_first` / `frame_last`**: the first and last decoded frame of the head recording, JPEG quality 85, 640×480.
- **`video_preview`**: `ffmpeg -vf scale=480:-2 -fps_mode passthrough -c:v libx264 -preset medium -crf 30
  -pix_fmt yuv420p -an -movflags +faststart -map_metadata -1` (ffmpeg 7.0.2): 480×360, every frame of the source
  kept at 25 fps — a frame is an official action. Frame counts equal the source's on all 2,100 rows.
- **Views**: the PNG images the model was sent, decoded from base64. Images that the event log truncated were taken
  from the record of the model input.
- **Tool interface**: the packaged policy (`XPolicyLab/policy/AGP/agp_runtime`, the RoboDojo submission) imported
  read-only with `mcp` 1.30.0 and `pydantic` 2.13.5 (its pinned versions), its MCP server built with no robot
  attached and the switches the episodes recorded, and `list_tools()` written out. It is the interface of the
  episodes of layouts 4–55; layouts 0–3 ran an earlier build of the policy, whose prompts — like every episode's —
  are in `documents/prompts/`.
- **Parquet**: pyarrow, explicit schema with the `huggingface` features block, zstd, one row per row group,
  statistics on the scalar columns only.

## 5. Checks

| check | result |
|---|---|
| 2,100 rows with unique `episode_id`, 16 unstable rows; RELEASE lists all 2,116; every job record of every round (2,186) and every session folder of the released runs (2,135) is released or listed in EXCLUDE, never both | pass |
| the official summarize script, run on a result tree rebuilt from the table (one `_result.json` per configuration, entries as the merge writes them): Avg SR 56.13, Avg Score 63.63 and the five dimensions; the `tasks` table equals the 42 per-task cells and the 24 Generalization half cells | pass |
| any 100 consecutive rows of `episodes/` under 300,000,000 bytes uncompressed (largest window 57,794,807, largest row 1,754,449) | pass |
| every `videos[].url` and `trace_url` resolves to a file; the 108,987 view keys of the tables, of the event streams, of `views/metadata.csv` and of the tars are one set, each key in exactly one tar | pass |
| the scan of §3: zero hits | pass |
| no folder holds more than 10,000 files | pass |
| `total_wall_s` equals `timing.total_wall_s`, `agent_s + sim_s = total_wall_s` and `agent_s` ≥ 0 on every row, and `total_wall_s`, `sim_s` and `sim_clock_s` match the session files (2,100 / 2,100 / 2,100 / 2,100 rows carry `total_wall_s` / `agent_s` / `sim_s` / `sim_clock_s`); the `tasks` medians and totals match the rows | pass |
| `load_dataset` reads both configs from the card's YAML and with the parquet builder (episodes 2,100, tasks 42, unstable 16) and decodes an `Image` and a `Video` cell | pass |

## 6. Size

| folder | files | size |
|---|---|---|
| `(root)` | 2 | 18 KiB |
| `docs` | 2 | 22 KiB |
| `documents` | 318 | 11.1 MiB |
| `episodes` | 105 | 944.8 MiB |
| `results` | 3 | 237 KiB |
| `tasks` | 1 | 108 KiB |
| `traces` | 2,106 | 17.8 MiB |
| `unstable` | 1 | 327 KiB |
| `videos` | 6,301 | 10.51 GiB |
| `views` | 41 | 36.65 GiB |
| **total** | 8,880 | **48.12 GiB** |