id large_stringlengths 34 34 | split large_stringclasses 1
value | modality large_stringclasses 1
value | turn_type large_stringclasses 1
value | audio dict | input dict | timestamps dict | streaming dict | target dict | taxonomy dict | quality dict | source dict | metadata dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
lastaudio_v01_cabc7f5c4860cb42297c | train | audio | single_turn | {
"duration_sec": 451.72,
"language": "en",
"loadability": "external_reference",
"path": "https://groups.inf.ed.ac.uk/ami/AMICorpusMirror/amicorpus/IB4005/audio/IB4005.Array1-01.wav",
"reference": "IB4005",
"sample_rate": 16000,
"source_type": "real_audio"
} | {
"instruction": "Listen to the user's audio message and answer the request. Use the timestamped speech information to update your understanding over time.",
"length_bucket": "extra_long",
"transcript": "UH I GUESS I START WITH MY PRESENTATION WE HAD TWO GROUPS OF PEOPLE WORKING ON THIS SO WE'LL SHOW YOU TWO SLIG... | {
"pauses": [
{
"after_segment_id": 13,
"duration": 0.97,
"end": 59.7,
"pause_id": 1,
"pause_type": "medium_pause",
"start": 58.73
},
{
"after_segment_id": 36,
"duration": 0.75,
"end": 163.26,
"pause_id": 2,
"pause_type": "short_pause",
... | {
"checkpoints": [
{
"checkpoint_id": 1,
"confidence": "medium",
"observed_text": "UH I GUESS I START WITH MY PRESENTATION WE HAD TWO GROUPS OF PEOPLE WORKING ON THIS SO WE'LL SHOW YOU TWO SLIGHTLY DIFFERENT PRESENTATIONS FEEL FREE TO ASK ANY QUESTIONS OR COMMENTS OBVIOUSLY UM THE FIRST ONE WAS ... | {
"answer": "Summary: UH I GUESS I START WITH MY PRESENTATION WE HAD TWO GROUPS OF PEOPLE WORKING ON THIS SO WE'LL SHOW YOU TWO SLIGHTLY DIFFERENT PRESENTATIONS FEEL FREE TO ASK ANY QUESTIONS OR COMM...; WE'RE NOT SURE YET UM NIKOS IS WORKING UM AS A RESEARCHER SO FOR HIM IT'S THE SAME THING THERE'S I THINK THE ONLY ... | {
"category": "information_extraction",
"subcategory": "long_note_to_summary",
"difficulty": "hard",
"intent_type": "search_request"
} | {
"audio_quality": "medium",
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high",
"timestamp_quality": "medium",
"target_grounded": true
} | {
"audio_id": "IB4005",
"dataset": "ami_sdm_full_meeting_audio",
"id": "IB4005",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
lastaudio_v01_eb65ab9a2b6e771bdada | train | audio | single_turn | {"duration_sec":494.831,"language":"en","loadability":"external_reference","path":"https://huggingfa(...TRUNCATED) | {"instruction":"Listen to the user's audio message and answer the request. Use the timestamped speec(...TRUNCATED) | {"pauses":[{"after_segment_id":1,"duration":0.45,"end":33.018,"pause_id":1,"pause_type":"short_pause(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"been a while since we've c(...TRUNCATED) | {"answer":"Summary: So, uh, so thanks for joining the call today.; Um, you know, I've talked on, on (...TRUNCATED) | {"category":"social_communication","subcategory":"message_reply","difficulty":"hard","intent_type":"(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"4483296","dataset":"argmaxinc_earnings22","id":"4483296","language":"en","license":"cc-(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
lastaudio_v01_a420ccfa8c8c6762e940 | train | audio | single_turn | {"duration_sec":487.25,"language":"en","loadability":"external_reference","path":"https://groups.inf(...TRUNCATED) | {"instruction":"Listen to the user's audio message and answer the request. Use the timestamped speec(...TRUNCATED) | {"pauses":[{"after_segment_id":2,"duration":1.85,"end":9.0,"pause_id":1,"pause_type":"medium_pause",(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"SO I'LL READ THAT INTO UM (...TRUNCATED) | {"answer":"Summary: SO I'LL READ THAT INTO UM I'LL MAKE IT PART OF THE GET MEASURE THING SO YOU CAN (...TRUNCATED) | {"category":"information_extraction","subcategory":"long_note_to_summary","difficulty":"hard","inten(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"EN2001e","dataset":"ami_sdm_full_meeting_audio","id":"EN2001e","language":"en","license(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
lastaudio_v01_22c897d1e8c8afa63e9c | train | audio | single_turn | {"duration_sec":306.31,"language":"en","loadability":"external_reference","path":"https://groups.inf(...TRUNCATED) | {"instruction":"Listen to the user's audio message and answer the request. Use the timestamped speec(...TRUNCATED) | {"pauses":[{"after_segment_id":2,"duration":2.23,"end":10.88,"pause_id":1,"pause_type":"long_pause",(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"UH MAKING A PROFIT OF FIFT(...TRUNCATED) | {"answer":"Summary: UH MAKING A PROFIT OF FIFTY MILLION EUROS SO IT'S GO GONNA HAVE TO BE BE PRETTY (...TRUNCATED) | {"category":"social_communication","subcategory":"message_reply","difficulty":"hard","intent_type":"(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"ES2005a","dataset":"ami_sdm_full_meeting_audio","id":"ES2005a","language":"en","license(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
lastaudio_v01_ffbbf5fa900eda400cf1 | train | audio | single_turn | {"duration_sec":152.09,"language":"en","loadability":"external_reference","path":"https://huggingfac(...TRUNCATED) | {"instruction":"Listen to the user's audio message and answer the request. Use the timestamped speec(...TRUNCATED) | {"pauses":[{"after_segment_id":1,"duration":0.35,"end":3.17,"pause_id":1,"pause_type":"short_pause",(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"Hello, it's the customer s(...TRUNCATED) | {"answer":"Use only the explicit travel constraints in the transcript, then identify any missing dat(...TRUNCATED) | {"category":"social_communication","subcategory":"message_reply","difficulty":"hard","intent_type":"(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"MUL1827_turns_0_60","dataset":"spokenwoz_train_turn_audio_whisper","id":"MUL1827_turns_(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
lastaudio_v01_27054139e7edc682523f | train | audio | single_turn | {"duration_sec":494.832,"language":"en","loadability":"external_reference","path":"https://huggingfa(...TRUNCATED) | {"instruction":"Listen to the user's audio message and answer the request. Use the timestamped speec(...TRUNCATED) | {"pauses":[{"after_segment_id":1,"duration":0.45,"end":33.019,"pause_id":1,"pause_type":"short_pause(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"with chemicals. 2021 was a(...TRUNCATED) | {"answer":"Summary: 2021 was an incredible year for this key part of our business and I just can't s(...TRUNCATED) | {"category":"tech_support","subcategory":"device_troubleshooting","difficulty":"hard","intent_type":(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"4483296","dataset":"argmaxinc_earnings22","id":"4483296","language":"en","license":"cc-(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
lastaudio_v01_ee4025f78bdcbe48fa2a | train | audio | single_turn | {"duration_sec":589.067,"language":"en","loadability":"external_reference","path":"https://huggingfa(...TRUNCATED) | {"instruction":"Listen to the user's audio message and answer the request. Use the timestamped speec(...TRUNCATED) | {"pauses":[{"after_segment_id":1,"duration":0.45,"end":39.301,"pause_id":1,"pause_type":"short_pause(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"net revenue. Embraer had t(...TRUNCATED) | {"answer":"Summary: Embraer had the solid revenue growth in the quarter as all four business units r(...TRUNCATED) | {"category":"social_communication","subcategory":"message_reply","difficulty":"easy","intent_type":"(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"4449269","dataset":"argmaxinc_earnings22","id":"4449269","language":"en","license":"cc-(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
lastaudio_v01_1459a7d91ae38247dc05 | train | audio | single_turn | {"duration_sec":549.11,"language":"en","loadability":"external_reference","path":"https://groups.inf(...TRUNCATED) | {"instruction":"Listen to the user's audio message and answer the request. Use the timestamped speec(...TRUNCATED) | {"pauses":[{"after_segment_id":2,"duration":1.96,"end":13.45,"pause_id":1,"pause_type":"medium_pause(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"YOU KNOW UM THAT SHOULD BE(...TRUNCATED) | {"answer":"Summary: YOU KNOW UM THAT SHOULD BE JUST LIKE UH A TENTH OF THE PRICE MAYBE OR LESS AN EN(...TRUNCATED) | {"category":"social_communication","subcategory":"message_reply","difficulty":"hard","intent_type":"(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"ES2005b","dataset":"ami_sdm_full_meeting_audio","id":"ES2005b","language":"en","license(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
lastaudio_v01_8f78f264334798ed4beb | train | audio | single_turn | {"duration_sec":445.53,"language":"en","loadability":"external_reference","path":"https://groups.inf(...TRUNCATED) | {"instruction":"Listen to the user's audio message and answer the request. Use the timestamped speec(...TRUNCATED) | {"pauses":[{"after_segment_id":2,"duration":1.63,"end":7.46,"pause_id":1,"pause_type":"medium_pause"(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"YOU KNOW WHETHER WHETHER T(...TRUNCATED) | {"answer":"Summary: YOU KNOW WHETHER WHETHER THE YOU KNOW THE THE FIXED PART OF IT IS THE CORPORATE (...TRUNCATED) | {"category":"information_extraction","subcategory":"long_note_to_summary","difficulty":"hard","inten(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"ES2012c","dataset":"ami_sdm_full_meeting_audio","id":"ES2012c","language":"en","license(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
lastaudio_v01_37222d5f21271a20b5f9 | train | audio | single_turn | {"duration_sec":337.523,"language":"en","loadability":"external_reference","path":"https://huggingfa(...TRUNCATED) | {"instruction":"Listen to the user's audio message and answer the request. Use the timestamped speec(...TRUNCATED) | {"pauses":[{"after_segment_id":1,"duration":1.469,"end":1.879,"pause_id":1,"pause_type":"medium_paus(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"Yeah","streaming_reasoning(...TRUNCATED) | {"answer":"Summary: Yeah But you know uh assume somehow the compu processor power is going to be the(...TRUNCATED) | {"category":"social_communication","subcategory":"message_reply","difficulty":"easy","intent_type":"(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"Bsr001","dataset":"icsi_full_meeting_audio","id":"Bsr001","language":"en","license":"cc(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "vFinal"
} |
End of preview. Expand in Data Studio
LifeAudioSingleTurnStreamingCoT
Version: vFinal
A single-turn audio dataset with streaming chain-of-thought reasoning for SFT. 822 active training rows with audio references.
Schema
Top-level fields: id, split, modality, turn_type, audio, input, timestamps, streaming, target, taxonomy, quality, source, metadata
- audio (path, reference, duration_sec, loadability)
- input (text, instruction, length_bucket)
- target (reasoning, answer, response)
- streaming (checkpoints with streaming_reasoning)
- taxonomy (category, subcategory, difficulty, intent_type)
Target Format
{
"reasoning": "Natural language reasoning about the task/input...",
"answer": "The actual task output...",
"response": "Reasoning: ...\n\nAnswer: ..."
}
Use target.response for SFT training. It includes both reasoning and final answer.
Quality
| Metric | Value |
|---|---|
| Active rows | 822 |
| Train | 685 |
| Eval | 137 |
| High quality | 822 |
| SFT-ready | 100.0% |
| Target grounded | 100.0% |
High-Quality Configuration
The high_quality config contains a filtered subset of default rows where quality.sft_ready = true and quality.is_high_quality = true. It is not additional unique data.
Limitations
- Audio is external reference only (HF URLs). No bundled audio bytes.
- Natural-language reasoning is template-generated, not LLM-written.
- Row counts reflect quality-filtered active splits suitable for direct SFT usage.
Usage
from datasets import load_dataset
# Load default config
ds = load_dataset("skyzhou06/LifeAudioSingleTurnStreamingCoT")
# Load high-quality subset
ds_hq = load_dataset("skyzhou06/LifeAudioSingleTurnStreamingCoT", "high_quality")
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