This dataset contains transcripts, audio, and video of official “Arrival” and “Doorstep” speeches from European Council events, collected from the European Council Newsroom. Each entry includes metadata such as the title, date, duration, language, word/character counts, and links to audio and video sources. The speeches are mainly in European languages, with some multilingual and non-European entries.

All recordings were automatically transcribed using OpenAI’s Whisper ASR model. Items lacking audio or containing two audio channels (≈6% of recordings) were excluded to simplify processing.

Besides, items whose language label are "Multilingual" or "International" are exccluded.

Source: European Council Newsroom

Dataset Structure

Column Name	Data Type	Description
`title`	string	Title of the entry
`date`	string / date	Uploaded date on the webpage
`duration`	float	Duration in seconds
`language`	list of string	Languages spoken in speech
`transcript`	string	Full text transcript of the speech
`segments`	list[dict]	a time-aligned transcription of the media content.
`word_count`	int	Number of words in the transcript
`character_count`	int	Number of characters in the transcript
`videoTypeDescription`	string	Type of video (e.g. doorstep interview, speech)
`split`	string	Data split
`license`	string	Dataset license information
`url.audio`	string	URL to the audio
`url.video_preview`	string	URL to the preview of the video
`url.video`	string	URL to the HD video

Dataset Size

Number of records: 45411
Total duration in hours: 3665.68
Average transcript length: 3951.56 characters / 660.20 words

Language Distribution

Language	Count	Total Duration (hours)
English	23635	1754.21
German	3582	294.16
French	2953	240.68
Spanish	2427	230.31
Italian	1374	122.0
Portuguese	1230	113.16
Swedish	1092	96.51
Dutch	1064	97.09
Polish	970	91.22
Czech	873	77.6
Croatian	826	71.11
Danish	787	71.06
Slovak	684	62.17
Finnish	647	62.9
Greek	604	37.16
Slovenian	519	40.49
Bulgarian	401	66.11
Hungarian	384	34.39
Luxembourgish	297	28.92
Romanian	295	25.66
Maltese	156	5.63
Lithuanian	92	5.32
Arabic	79	4.53
Latvian	73	5.18
Ukrainian	56	4.48
Russian	38	2.67
Estonian	37	2.36
Serbian	36	2.84
Georgian	33	1.99
Norwegian	29	2.98
Albanian	25	1.89
Macedonian	23	1.78
Bosnian	17	1.36
Montenegrin	16	1.09
Turkish	14	1.37
Belarusian	6	0.31
Moldavian	5	0.34
Catalan	4	0.41
Persian	4	0.36
Japanese	4	0.25
Indonesian	3	0.25
Viêt Namese	3	0.33
Chinese	3	0.28
Armenian	3	0.07
Korean	3	0.33
Hindi	1	0.1
Kazakh	1	0.1
Khmer	1	0.06
Tajik	1	0.09
Swahili	1	0.05

Note:
For items 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.

Usage

from datasets import load_dataset

# Load the full dataset. 
ds = load_dataset("meetween/eu_council", split="eu_council")

# Load dataset in streaming mode.
dataset = load_dataset(
    "meetween/eu_council",
    split="eu_council",
    streaming=True
)
for example in dataset.take(3):
    print(example["id"], example["language"])

License

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