Datasets:
id stringlengths 34 34 | split stringclasses 1
value | modality stringclasses 1
value | turn_type 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",
"difficulty": "hard",
"intent_type": "search_request",
"subcategory": "long_note_to_summary"
} | {
"audio_quality": "medium",
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high",
"timestamp_quality": "medium"
} | {
"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": "v0.4"
} |
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","difficulty":"hard","intent_type":"information_request","subcateg(...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": "v0.4"
} |
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","difficulty":"hard","intent_type":"opinion_sharing","subcategor(...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": "v0.4"
} |
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","difficulty":"hard","intent_type":"conversational_understanding",(...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": "v0.4"
} |
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","difficulty":"hard","intent_type":"information_request","subcateg(...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": "v0.4"
} |
lastaudio_v01_2b43247d7f4c93e19f82 | train | audio | single_turn | {"duration_sec":558.17,"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":3,"duration":1.22,"end":14.71,"pause_id":1,"pause_type":"medium_pause(...TRUNCATED) | {"checkpoints":[{"checkpoint_id":1,"confidence":"medium","observed_text":"YEAH YEAH I MEAN UH PLASTI(...TRUNCATED) | {"answer":"Summary: YEAH YEAH I MEAN UH PLASTIC UH IS PLASTIC ALSO HAS THAT CHEAP FEELING TO IT LIKE(...TRUNCATED) | {"category":"information_extraction","difficulty":"hard","intent_type":"search_request","subcategory(...TRUNCATED) | {"audio_quality":"medium","is_high_quality":true,"natural_reasoning":true,"reasoning_quality":"high"(...TRUNCATED) | {"audio_id":"TS3007c","dataset":"ami_sdm_full_meeting_audio","id":"TS3007c","language":"en","license(...TRUNCATED) | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
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","difficulty":"hard","intent_type":"information_request","subcategory":"de(...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": "v0.4"
} |
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","difficulty":"easy","intent_type":"explain_cause","subcategory":"(...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": "v0.4"
} |
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","difficulty":"hard","intent_type":"search_request","subcategory":(...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": "v0.4"
} |
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","difficulty":"hard","intent_type":"task_request","subcategory":(...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": "v0.4"
} |
End of preview. Expand in Data Studio
LifeAudioSingleTurnStreamingCoT v0.4
Final professional public release — clean SFT schema, target field, canonical taxonomy.
Overview
- Modality: Audio
- Turn Type: Single Turn
- Version: v0.4
- License: cc-by-sa-4.0
- Language: English
- HF Repo:
skyzhou06/LifeAudioSingleTurnStreamingCoT
Row Counts
| Split | Rows |
|---|---|
| Train | 686 |
| Eval | 137 |
| High Quality Train | 40 |
| High Quality Eval | 7 |
| Total | 823 |
Schema (v0.4)
Top-Level Fields
| Field | Type | Description |
|---|---|---|
id |
string | Stable example ID |
split |
string | train or eval |
modality |
string | audio |
turn_type |
string | single_turn |
input |
object | Input data |
streaming |
object | Checkpoints with natural-language reasoning |
target |
object | Training target: reasoning, answer, response |
taxonomy |
object | Canonical content classification |
quality |
object | Quality assessment |
source |
object | Provenance |
metadata |
object | Release metadata |
target
{
"reasoning": "Natural-language reasoning summary.",
"answer": "The final answer.",
"response": "Reasoning: ...\n\nAnswer: ..."
}
target.answer— for answer-only SFTtarget.response— for reasoning-augmented SFT
taxonomy
Uses canonical enum categories: daily_life, travel, education, work_productivity, finance_consumer, health_wellness_safe, tech_support, information_extraction, creative_planning, social_communication.
quality
{
"is_high_quality": true,
"sft_ready": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"taxonomy_quality": "high"
}
Changes from v0.3
outputrenamed totargetwithreasoning,answer,responsestreaming.traceremoved from active rowsmetadata.legacyblobs removed- Taxonomy mapped to canonical enum with fixed category/subcategory pairs
high_qualitysplit intohigh_quality_train/high_quality_evalmetadata.release_version="v0.4"
SFT Usage
from datasets import load_dataset
# Default config
ds = load_dataset("skyzhou06/LifeAudioSingleTurnStreamingCoT")
# ds["train"]["target"]["response"] — reasoning + answer
# ds["train"]["target"]["answer"] — answer only
# High quality config
ds_hq = load_dataset("skyzhou06/LifeAudioSingleTurnStreamingCoT", "high_quality")
Source Licenses
Dataset-level license: cc-by-sa-4.0. Individual rows include source.license and source.dataset fields with source-specific license information.
Audio availability: Most audio is externally referenced (not bundled). See audio.loadability field per row.
Limitations
- Reasoning is rule-based (content-grounded)
- Some answers are brief closing phrases (check
quality.sft_ready) - Non-English examples not included
Citation
If you use this dataset, please cite the original source datasets and this release.
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