Buckets:
| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| audio_tars | 40 items | ||
| .gitattributes | 2.88 kB xet | db7d78c8 | |
| Environment_awared_audio_agent.jsonl | 363 MB xet | 994204c5 | |
| Proactive_respond.jsonl | 32.6 MB xet | 1da3e25f | |
| README.md | 2.84 kB xet | 2d3305ba | |
| Real_time_ASR.jsonl | 148 MB xet | 2048bba1 | |
| Stream_Audio_Understanding.jsonl | 383 MB xet | 38001297 | |
| Stream_translation.jsonl | 67.6 MB xet | cfac3e83 | |
| Voice_chatting.jsonl | 1.15 GB xet | a6cb3e8c |
StreamAudio-2M
Large-scale streaming-audio dataset for audio-LLM / audio-agent training. Each row is a stream: a sequence of audio turns sharing one unified schema. ~2.28M unique audio clips are organised into six task subsets.
Subsets
| Subset | Rows | Description |
|---|---|---|
Stream_Audio_Understanding |
90,738 | Montages of audio-understanding clips (AudioSet / FMA): captions, choice & open QA |
Real_time_ASR |
28,109 | Streams of ASR clips (CommonVoice / GigaSpeech / LibriSpeech / VoxPopuli); assistant = transcript |
Stream_translation |
11,712 | Streams of EN→ZH speech-translation clips (CoVoST2); assistant = Chinese translation |
Voice_chatting |
196,064 | Multi-round spoken dialogues; each turn has spoken user + assistant |
Proactive_respond |
4,519 | Indoor/outdoor proactive-response streams (ElevenLabs / AudioX) |
Environment_awared_audio_agent |
50,035 | Same-scene audio montages (90–180 s) |
Schema
Top level:
id, stream_scene_type, stream_audio_category, num_turns, total_duration_s, turns
stream_scene_type / stream_audio_category hold the common value when all turns agree, else "mixed".
Each item of turns:
user, assistant, emotion, keywords, scene_type, audio_category, topic_type,
audio_path, source, audio_stats
audio_stats = {duration_s, sample_rate, channels, mean, std, abs_mean, rms_db, peak_db, crest_factor, dynamic_range_db, zero_crossing_rate}.
scene_type ∈ {Driving, Traffic, Home Smart, Cooking, Fitness, Travel, Office, others}.
Audio
Audio is shipped as uncompressed tar shards under audio_tars/. Download all shards and
extract them into the dataset root to recreate the audio/ tree; the audio_path field in
every row is the relative path inside that tree, e.g. audio/asr/0012/asr_0012345.wav.
cat audio_tars/*.tar | tar -xf - # or extract each shard individually
- Total size
- 757 GB
- Files
- 48
- Last updated
- Sep 8
- Pre-warmed CDN
- US EU US EU