README.md

---
license: cc-by-4.0
task_categories:
  - automatic-speech-recognition
  - voice-activity-detection
language:
  - en
size_categories:
  - n<1K
pretty_name: AMI Meeting Corpus — full mirror (Mix-Headset + manual annotations)
tags:
  - ami
  - meeting
  - speaker-diarization
  - diarization
  - asr
  - rttm
  - dialogue-acts
  - nxt
  - audio
annotations_creators:
  - expert-generated
source_datasets:
  - extended|ami-meeting-corpus
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: file_id
      dtype: string
  splits:
    - name: all
      num_examples: 171
---

# AMI Meeting Corpus — Full Mirror (Mix-Headset + manual annotations)

Miroir **complet** du AMI Meeting Corpus distribué par l'AMI Consortium
(Edinburgh). Tous les fichiers sont repris *tels quels* depuis la distribution
upstream, y compris la structure de dossiers.

## Contenu

- **171 meetings** (~100 h d'audio) — scénarios scénarisés (ES/IS/TS) et
  réunions naturelles (EN/IB/IN)
- **Audio Mix-Headset** : `amicorpus/<meeting>/audio/<meeting>.Mix-Headset.wav`
  — mixdown des micros serre-tête (un par speaker), c'est le flux audio
  standard pour benchmark diarisation / ASR close-talk
- **Manual annotations v1.6.2** (NXT XML) dans `ami_public_manual_1.6.2/` :
  segments, words, dialogueActs, topics, abstractive/extractive summaries,
  namedEntities, focus, gestures (hand/head), movement, disfluency,
  argumentation, participantRoles, participantSummaries, decision,
  youUsages, ontologies, corpusResources…
- Langue : **anglais** (UK/EU — meetings AMI)
- Licence : **CC-BY-4.0** (cf `CCBY4.0.txt` à la racine)

## Structure

```
dia-AMICorpus-all/
├── README.md
├── CCBY4.0.txt
├── amiBuild-*.manifest.txt
├── amicorpus/
│   └── <meeting>/audio/<meeting>.Mix-Headset.wav        # 171 WAV
└── ami_public_manual_1.6.2/                              # NXT v1.6.2
    ├── 00README_MANUAL.txt
    ├── LICENCE.txt
    ├── AMI-metadata.xml
    ├── MANIFEST_MANUAL.txt
    ├── manifest_1.7.html
    ├── resource.xml
    ├── abstractive/            # 142 fichiers
    ├── argumentation/          # 3
    ├── configuration/          # 2
    ├── corpusResources/        # 2
    ├── corpusdoc/              # 73
    ├── decision/               # 1
    ├── dialogueActs/           # 695
    ├── disfluency/             # 160
    ├── extractive/             # 274
    ├── focus/                  # 56
    ├── handGesture/            # 61
    ├── headGesture/            # 173
    ├── movement/               # 498
    ├── namedEntities/          # 468
    ├── ontologies/             # 17
    ├── participantRoles/       # 20
    ├── participantSummaries/   # 323
    ├── segments/               # 687
    ├── topics/                 # 139
    ├── words/                  # 687
    └── youUsages/              # 63
```

## Meetings disponibles (171)

- Scénarios (ES/IS/TS) : ES2002–ES2016, IS1000–IS1009, TS3003–TS3012
- Naturels (EN) : EN2001–EN2009
- Instrumental / natural (IB/IN) : IB4001–IB4011, IN1001–IN1016

## Format NXT (exemple segments)

```xml
<?xml version="1.0" encoding="ISO-8859-1"?>
<nite:root nite:id="ES2002a.A.segs" xmlns:nite="http://nite.sourceforge.net/">
  <segment nite:id="ES2002a.sync.1"
           transcriber_start="12.34" transcriber_end="14.56"
           participant="A">
    <nite:child href="ES2002a.A.words.xml#id(ES2002a.w.12)..id(ES2002a.w.27)"/>
  </segment>
  ...
</nite:root>
```

Pour construire un RTTM standard à partir des segments NXT :
```python
from glob import glob
from xml.etree import ElementTree as ET

NS = {"nite": "http://nite.sourceforge.net/"}
for seg_xml in glob("ami_public_manual_1.6.2/segments/*.segments.xml"):
    root = ET.parse(seg_xml).getroot()
    meeting, spk, _ = seg_xml.split("/")[-1].split(".", 2)
    for seg in root.findall("segment"):
        t0 = float(seg.attrib.get("transcriber_start", seg.attrib.get("starttime", 0)))
        t1 = float(seg.attrib.get("transcriber_end",   seg.attrib.get("endtime",   0)))
        if t1 > t0:
            print(f"SPEAKER {meeting} 1 {t0:.3f} {t1-t0:.3f} <NA> <NA> {spk} <NA> <NA>")
```

## Utilisation

```python
from huggingface_hub import snapshot_download

root = snapshot_download("ggfox00000/dia-AMICorpus-all", repo_type="dataset")
# root/amicorpus/<meeting>/audio/<meeting>.Mix-Headset.wav
# root/ami_public_manual_1.6.2/segments/<meeting>.<spk>.segments.xml
# root/ami_public_manual_1.6.2/words/<meeting>.<spk>.words.xml
```

## Source

- AMI Meeting Corpus — https://groups.inf.ed.ac.uk/ami/corpus/
- Annotations NXT v1.6.2 — AMI Consortium
- Carletta et al. 2005, *The AMI Meeting Corpus: A Pre-Announcement*, MLMI

## Licence

**CC-BY-4.0** — voir `CCBY4.0.txt`. Distribution miroir de la distribution
officielle du AMI Consortium pour faciliter l'accès en recherche.

## Citation

```bibtex
@inproceedings{carletta2005ami,
  author    = {Carletta, Jean and Ashby, Simone and Bourban, Sebastien and Flynn, Mike and Guillemot, Mael and Hain, Thomas and Kadlec, Jaroslav and Karaiskos, Vasilis and Kraaij, Wessel and Kronenthal, Melissa and Lathoud, Guillaume and Lincoln, Mike and Lisowska, Agnes and McCowan, Iain and Post, Wilfried and Reidsma, Dennis and Wellner, Pierre},
  title     = {The {AMI} Meeting Corpus: A Pre-Announcement},
  booktitle = {MLMI},
  year      = {2005},
  pages     = {28--39},
}
```