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---
license: other
task_categories:
- time-series-forecasting
tags:
- mimo
- reinforcement-learning
- training-telemetry
- metrics
- observability
size_categories:
- 1GB<n<10GB
---
# MiMo RL telemetry archive
This dataset preserves the public Xiaomi MiMo RL training telemetry feed from
`https://mimo.xiaomi.com/rl/`. It contains aggregate training telemetry, not
the Xiaomi RL task environments, model weights, prompts, completions, or
individual trajectories.
## Public-release scope
- `data/mimo.sqlite3`: consistent standalone SQLite snapshot.
- `data/raw-responses.tar`: 132,263 distinct content-addressed publisher HTTP
response bodies under `raw/<sha256[:2]>/<sha256>.json.gz`.
- `presentation/`: metric catalog, display metadata, notices, overview, format
parity inputs, and the three pinned publisher JavaScript files.
- `observer-source.tar`: standard-library collector, metadata parser, notice and
overview generators, SQLite schema, tests, and lockfile.
- `analysis.sql`: example read-only queries.
- `manifest.json`: byte size and SHA-256 for every published file.
Internal W&B synchronization state, operational logs, local launchd plists,
local paths, virtual environments, caches, live SQLite sidecars, and private
acceptance receipts are intentionally excluded.
The publisher page did not state a data license. The archive is therefore
marked `license: other`; source attribution and the exact capture endpoints are
retained under Provenance. Do not redistribute this archive under a more
permissive license than the upstream publisher permits.
## Snapshot
| Table | Rows |
|---|---:|
| `benchmark_points` | 168 |
| `cycles` | 64,807 |
| `events` | 83 |
| `fetches` | 499,145 |
| `live_reports` | 10,000 |
| `metric_points` | 122,730 |
| `metric_revisions` | 130,930 |
| `notices` | 6 |
| `runs` | 2 |
| `series_snapshots` | 376 |
| `status_samples` | 123,537 |
The two runs are:
- `pro@1789468339.334` / `mimo-v2.6-pro`
- `flash@1789485389.264` / `mimo-v2.6-flash`
There are 2,077 distinct metric tags covering actor/critic loss, entropy, KL,
reward, return, advantage, score, pass rate, rollout counts, penalties,
context lengths, sampler counters, trace counters, benchmarks, and status.
The 25 source labels are publisher-anonymized identifiers such as
`code/dataset-obg8`; original task identities were not exposed.
## Relationship to XiaomiMiMo/MiMo-V2.6-RL-oss
The public Xiaomi dataset is complementary rather than a duplicate:
| Property | This archive | Xiaomi RL OSS |
|---|---|---|
| Purpose | Aggregate training telemetry | Task environments and verifiers |
| Primary rows | 122,730 metric points | 7,684 task rows |
| Task prompts | No | Yes |
| Environment assets | No | 41,292 repository files |
| Aggregate training time series | Yes | No |
| Raw publisher HTTP provenance | Yes | Not applicable |
A complete string-leaf comparison found zero exact public prompt matches and
zero exact public instance-ID matches in the local raw response bodies.
## Usage
```python
import sqlite3
with sqlite3.connect("file:data/mimo.sqlite3?mode=ro", uri=True) as db:
rows = db.execute(
"""
SELECT run_key, step, value
FROM metrics
WHERE tag = 'dynsam/avg@n'
ORDER BY run_key, step
"""
).fetchall()
```
Use SQLite read-only connections. `metric_points` is the latest complete
snapshot; `metric_revisions` preserves historical observations and corrections.
All timestamp-like fields are Unix seconds.
## Provenance
- Source feed: `https://mimo.xiaomi.com/rl/`
- First archived request: 2026-09-16 20:53:37 UTC
- Last successful source fetch: 2026-10-09 04:12:09 UTC
- The source began returning HTTP 404 on 2026-10-09 04:22:13 UTC, freezing the
observed runs at step 30.
- The collector retained failed response bodies as well as successful ones.
A small number of retained error bodies are therefore not valid JSON.
- Cost fields and benchmark scores are publisher-reported values, not
independent measurements.