Datasetpublic

ggfox00000/dia-AMICorpus-all

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… See the full description on the dataset page: https://huggingface.co/datasets/ggfox00000/dia-AMICorpus-all.

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Dataset Card

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},
}