|
|
--- |
|
|
size_categories: |
|
|
- 10K<n<100K |
|
|
--- |
|
|
# Mumospee V2: A MUltiMOdal SPEEch Corpus Version 2 |
|
|
|
|
|
## Dataset Description |
|
|
|
|
|
**MuMoSPEE v2** is a large-scale multimodal speech dataset containing **audio and video recordings with transcripts**, aggregated from: |
|
|
|
|
|
1. **European Council events** — official speeches, interviews, and doorstep appearances. |
|
|
2. **Public YouTube meetings** — webinars, conferences, panel discussions, and institutional videos. |
|
|
|
|
|
This release is built upon the **first version of the MuMoSPEE dataset**, significantly expanding both the **scale** and **diversity** of content, and unifying audio and video data into a consistent metadata format suitable for large-scale speech and multimodal research. |
|
|
|
|
|
The original MuMoSPEE v1 dataset is available at: |
|
|
👉 **https://huggingface.co/datasets/meetween/mumospee** |
|
|
|
|
|
The dataset is designed for research in **speech recognition, multimodal modeling, meeting analysis, and AI-driven content understanding**. |
|
|
|
|
|
All media are linked via URLs, with transcripts and metadata included. Audio and video recordings are stored as separate entries. |
|
|
|
|
|
**Sources & HuggingFace pages:** |
|
|
- EU Council: https://huggingface.co/datasets/meetween/eu_council. Original source at [European Council Newsroom](https://newsroom.consilium.europa.eu/videos). |
|
|
- YouTube Meetings: https://huggingface.co/datasets/meetween/meetween_youtube_meeting |
|
|
|
|
|
--- |
|
|
|
|
|
## Dataset Structure |
|
|
|
|
|
| Column | Type | Description | |
|
|
|--------|------|------------| |
|
|
| `url` | string | URL to audio or video | |
|
|
| `type` | string | `audio` or `video` | |
|
|
| `duration` | float | Duration in seconds | |
|
|
| `language` | string | Primary spoken language | |
|
|
| `transcript` | string | Full transcript text | |
|
|
| `tag` | string | Source tag (`EU_Council` or `YouTube_Meeting`) | |
|
|
| `split` | string | Dataset split (`train`, `validation`, `test`) | |
|
|
| `license` | string | License information for the content | |
|
|
|
|
|
--- |
|
|
|
|
|
## Statistic Summary |
|
|
|
|
|
**Audio (EU Council only)** |
|
|
|
|
|
- **Number of audio entries:** 45,522 |
|
|
- **Total duration (hours):** 3,673.86 |
|
|
- **Average duration (seconds):** 290.54 |
|
|
|
|
|
**Video** |
|
|
|
|
|
- **Number of video entries:** 167,929 |
|
|
- **Total duration (hours):** 83,801.51 |
|
|
- **Average duration (seconds):** 1,796.51 |
|
|
|
|
|
**Breakdown by tag:** |
|
|
|
|
|
| Tag | Count | |
|
|
|-----|-------| |
|
|
| EU_Council | 45,522 | |
|
|
| YouTube_Meeting | 122,407 | |
|
|
|
|
|
--- |
|
|
## Language Distribution |
|
|
|
|
|
| Language | Audio Count | Audio Hours | Video Count | Video Hours | |
|
|
| ------------- | ----------: | ----------: | ----------: | ----------: | |
|
|
| English | 23,635 | 1,907.4 | 119,531 | 76,000 | |
|
|
| Spanish | 2,427 | 196.7 | 13,810 | 8,785 | |
|
|
| French | 2,953 | 238.6 | 11,176 | 7,110 | |
|
|
| German | 3,582 | 289.2 | 5,049 | 3,210 | |
|
|
| Portuguese | 1,230 | 99.5 | 4,260 | 2,710 | |
|
|
| Italian | 1,374 | 111.2 | 2,845 | 1,810 | |
|
|
| Dutch | 1,064 | 86.2 | 1,846 | 1,174 | |
|
|
| Swedish | 1,092 | 88.5 | 1,174 | 746 | |
|
|
| Polish | 970 | 78.7 | 999 | 635 | |
|
|
| Czech | 873 | 70.9 | 886 | 563 | |
|
|
| Croatian | 826 | 67.1 | 828 | 526 | |
|
|
| Danish | 787 | 63.9 | 792 | 503 | |
|
|
| Slovak | 684 | 55.5 | 685 | 435 | |
|
|
| Finnish | 647 | 52.6 | 652 | 414 | |
|
|
| Greek | 604 | 49.1 | 617 | 392 | |
|
|
| Slovenian | 519 | 42.2 | 519 | 330 | |
|
|
| Bulgarian | 401 | 32.6 | 403 | 256 | |
|
|
| Hungarian | 384 | 31.2 | 386 | 245 | |
|
|
| Luxembourgish | 297 | 24.1 | 297 | 188 | |
|
|
| Romanian | 295 | 23.9 | 296 | 187 | |
|
|
| Maltese | 156 | 12.6 | 156 | 99 | |
|
|
| Multilingual | 94 | 7.6 | 94 | 60 | |
|
|
| Lithuanian | 92 | 7.4 | 92 | 58 | |
|
|
| Arabic | 79 | 6.5 | 79 | 50 | |
|
|
| Latvian | 73 | 6.0 | 73 | 46 | |
|
|
| Ukrainian | 56 | 4.7 | 56 | 35 | |
|
|
| Russian | 38 | 3.2 | 38 | 24 | |
|
|
| Estonian | 37 | 3.0 | 37 | 23 | |
|
|
| Serbian | 36 | 2.9 | 36 | 22 | |
|
|
| Georgian | 33 | 2.6 | 33 | 20 | |
|
|
| Norwegian | 29 | 2.3 | 29 | 17 | |
|
|
| Albanian | 25 | 2.0 | 25 | 15 | |
|
|
| Macedonian | 23 | 1.9 | 23 | 14 | |
|
|
| Bosnian | 17 | 1.4 | 17 | 10 | |
|
|
| Montenegrin | 16 | 1.3 | 16 | 9 | |
|
|
| Turkish | 14 | 1.1 | 14 | 8 | |
|
|
| Belarusian | 6 | 0.5 | 6 | 3 | |
|
|
| Moldavian | 5 | 0.4 | 5 | 3 | |
|
|
| Japanese | 4 | 0.3 | 4 | 2 | |
|
|
| Persian | 4 | 0.3 | 4 | 2 | |
|
|
| Catalan | 4 | 0.3 | 4 | 2 | |
|
|
| Chinese | 3 | 0.2 | 3 | 1 | |
|
|
| Korean | 3 | 0.2 | 3 | 1 | |
|
|
| Vietnamese | 3 | 0.2 | 3 | 1 | |
|
|
| Armenian | 3 | 0.2 | 3 | 1 | |
|
|
| Indonesian | 3 | 0.2 | 3 | 1 | |
|
|
| Swahili | 1 | 0.1 | 1 | 0.1 | |
|
|
| Hindi | 1 | 0.1 | 1 | 0.1 | |
|
|
| Tajik | 1 | 0.1 | 1 | 0.1 | |
|
|
| Kazakh | 1 | 0.1 | 1 | 0.1 | |
|
|
| Khmer | 1 | 0.1 | 1 | 0.1 | |
|
|
|
|
|
|
|
|
--- |
|
|
|
|
|
- **Notes** |
|
|
For recordings containing multiple spoken languages, the total duration is **split equally among the detected languages**, as precise language-level timestamps are not available. This avoids inflating the total duration across languages. |
|
|
|
|
|
## Notes on Transcripts |
|
|
|
|
|
- **EU Council (audio & video):** |
|
|
Transcripts are generated using the **Whisper ASR package**. Each entry contains **one or more languages** per recording, corresponding to the full speech. |
|
|
|
|
|
- **YouTube Meeting (video):** |
|
|
Transcripts are extracted from YouTube subtitle tracks. They may be **auto-generated**, and some videos may **lack transcripts entirely**. |
|
|
|
|
|
|
|
|
|
|
|
--- |
|
|
|
|
|
## Usage |
|
|
|
|
|
```python |
|
|
from datasets import load_dataset |
|
|
|
|
|
dataset = load_dataset("meetween/mumospee_v2") |
|
|
|
|
|
# Access first audio sample |
|
|
audio_sample = dataset['train'].filter(lambda x: x['type'] == 'audio')[0] |
|
|
print(audio_sample['transcript']) |
|
|
print(audio_sample['url']) |
|
|
|
|
|
# Access first video sample |
|
|
video_sample = dataset['train'].filter(lambda x: x['type'] == 'video')[0] |
|
|
print(video_sample['transcript']) |
|
|
print(video_sample['url']) |
|
|
``` |
|
|
# Licensing Information |
|
|
|
|
|
- EU Council: Attribution only, non-commercial (© EU 2025). The copyright notice of the dataset: https://www.consilium.europa.eu/en/about-site/copyright/ |
|
|
- YouTube: Metadata and transcripts are CC0 / Public Domain; videos follow original uploader’s license (CC-BY). |
|
|
|
|
|
Users must comply with the source license when accessing media via URLs. |