---
license: cc0-1.0
configs:
- config_name: segments
  data_files:
  - split: train
    path: segments/train-*
- config_name: tapes
  data_files:
  - split: train
    path: tapes/train-*
language:
- en
tags:
- uv-script
- generated
- audio
- transcription
- diarization
- apollo-11
pretty_name: Apollo 11 Mission Audio — Diarized Transcripts
---

# Apollo 11 Mission Audio — Diarized Transcripts

Machine-generated **transcripts with speaker diarization and timestamps** for
103 tapes (175 hours) of Apollo 11 mission audio from the
Internet Archive's [Apollo11Audio](https://archive.org/details/Apollo11Audio)
collection (NASA recordings, public domain).

Generated in a single [Hugging Face Job](https://huggingface.co/docs/hub/jobs) with
[OpenMOSS-Team/MOSS-Transcribe-Diarize](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize)
(0.9B, Apache 2.0) — joint transcription + speaker attribution + timestamps in one
generation pass per clip.

## Configs

- **`segments`** (45355 rows): `tape`, `part`, `start`, `end`, `speaker`, `text`.
  Timestamps are seconds from tape start.
- **`tapes`** (103 rows): per-tape duration, transcript coverage, parts, speaker sets.

## Known limitations

- **ASR quality**: this is scratchy 1969 radio audio; expect mishearings
  (e.g. "Apollo eleven" sometimes transcribed as "Follow eleven").
- **Degenerate output filtered**: on long non-speech stretches (static, carrier
  hiss, Quindar tones — and some tapes in the source collection are entirely
  empty transfers) the model hallucination-loops. Segments that are empty,
  dots-only, malformed, internally repetitive (zlib compression-ratio > 2.4, the
  Whisper heuristic), or identical to >2 preceding segments were dropped;
  compare `num_segments` vs `num_segments_raw` in the `tapes` config. Raw
  unfiltered output is preserved in the generation bucket.
- **Speaker labels** (`S01`, `S02`, ...) are anonymous and consistent only
  **within a part**: tapes longer than ~55 min are processed in clips and the
  labels reset between them (the `part` column). Labels are not linked across
  tapes either.
- **Coverage**: the model occasionally stops early; the pipeline continues from
  the last timestamp, but per-tape `coverage_s` in the `tapes` config shows any
  remaining gaps (170/175 h covered overall).

## Reproduction

Generated with the [`moss-transcribe-diarize-server.py`](https://huggingface.co/datasets/uv-scripts/transcription/blob/main/moss-transcribe-diarize-server.py) recipe from [uv-scripts](https://huggingface.co/uv-scripts). The recipe serves the model with [sglang-omni](https://github.com/sgl-project/sglang-omni) inside the job and transcribes files concurrently (37.8x realtime aggregate on a100-large). Run it yourself:

```bash
hf jobs run --detach --flavor a100-large -s HF_TOKEN --timeout 8h \
    -v hf://buckets/user/audio-files:/input:ro \
    -v hf://buckets/user/transcripts:/output \
    lmsysorg/sglang:nightly-dev-cu13-20260709-074bb928 -- \
    bash -c "pip install -q uv; git clone --depth 1 https://github.com/sgl-project/sglang-omni.git && cd sglang-omni && uv venv .venv -p 3.12 && . .venv/bin/activate && uv pip install . && (sgl-omni serve --model-path OpenMOSS-Team/MOSS-Transcribe-Diarize --host 0.0.0.0 --port 8000 --max-running-requests 16 --mem-fraction-static 0.80 &) && uv run https://huggingface.co/datasets/uv-scripts/transcription/raw/main/moss-transcribe-diarize-server.py /input /output --concurrency 6 --emit-txt"
```