| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| task_categories: |
| - question-answering |
| pretty_name: Audio Loop - Long-Audio Reasoning Benchmarks |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: iq2_qa |
| data_files: |
| - split: test |
| path: iq2_qa/metadata.jsonl |
| --- |
| |
| # Audio Loop: Long-Audio Reasoning Benchmarks |
|
|
| An evaluation set for **long-form audio reasoning**. It accompanies the paper |
| *AudioLoop: Program-Guided Iterative Reasoning Over Long-Form Speech* (NeurIPS |
| 2026 Workshop on Long Context Foundation Models), where it is referred to as |
| **IQ2-QA**. |
|
|
| | Config | Task | Audio source | Items | |
| |-----------|-----------------------------------|----------------------------------------|-------| |
| | `iq2_qa` | Multi-hop QA over debates | Recorded live debates | 13 | |
|
|
| ### Load annotations |
|
|
| ```python |
| from datasets import load_dataset |
| |
| iq2 = load_dataset("CentificAIResearch/audio-loop", "iq2_qa", split="test") |
| ``` |
|
|
| Each row records the audio file used in the paper (`file`) and the podcast |
| episode it came from (`source`). |
|
|
| ### Obtaining the audio |
|
|
| The debate audio is **not redistributed** here: it is copyrighted by Open to |
| Debate Foundation. Each row's `source` field identifies the exact podcast |
| episode used, so the audio can be obtained from the publisher: |
|
|
| ```python |
| row = iq2[0] |
| print(row["source"]["episode_title"], row["source"]["episode_guid"]) |
| print(row["source"]["episode_audio_url"]) # audio URL as listed in the feed |
| ``` |
|
|
| Match episodes by `episode_guid` in the public RSS feed (`feed_url`). Podcast |
| hosts insert advertisements dynamically, so a fresh download can differ from |
| the paper's file by roughly a minute in length. |
|
|
| --- |
|
|
| ## `iq2_qa` (IQ2-QA) |
| |
| ### Overview |
| Multi-hop reasoning queries over 13 complete Oxford-style debate recordings |
| (~50–60 min each). In each debate, one or two |
| debaters per side argue FOR and AGAINST a motion, in a live-audience format. |
| |
| ### Source |
| The *Open to Debate* podcast (formerly Intelligence Squared U.S.): |
| https://podcasts.apple.com/us/podcast/open-to-debate/id216713308. Audio was |
| downloaded from the public RSS feed in April 2026. Questions and reference |
| answers were drafted with Gemini 3 Pro; reference answers are framed in terms |
| of the FOR and AGAINST sides of each motion. |
| |
| ### License note |
| Annotations (queries, reference answers, metadata) are released under |
| CC-BY-4.0. The debate audio is copyrighted by Open to Debate Foundation and is |
| not included; obtain it from the publisher's feed under its terms. |
| |
| ### Schema (`metadata.jsonl`, 1 row per debate) |
| |
| ```json |
| { |
| "debate_id": "iq2_161", |
| "file": "161_Should_the_FTC_Ban_Non-compete_Clauses_.mp3", |
| "source": { |
| "podcast": "Open to Debate (formerly Intelligence Squared U.S.)", |
| "feed_url": "https://feeds.megaphone.fm/PNP1207584390", |
| "episode_title": "Should the FTC Ban Non-compete Clauses?", |
| "episode_guid": "7a72b250-c9ac-11ed-9d3f-bf45543f63e9", |
| "episode_pub_date": "2023-03-24", |
| "episode_audio_url": "https://www.podtrac.com/pts/redirect.mp3/traffic.megaphone.fm/IS6200446555.mp3?updated=1679598682" |
| }, |
| "album": "Intelligence Squared U.S. Debates", |
| "is_iq2": true, |
| "is_debate": true, |
| "duration_minutes": 51.3, |
| "debate_topic": "Should the FTC Ban Non-compete Clauses?", |
| "queries": [ |
| { |
| "query_id": "iq2_161_A", |
| "query_type": "claim_rebuttal_counter", |
| "query": "What was the main argument made by the FOR side ...", |
| "hop_count": 3, |
| "requires_acoustic_cues": false, |
| "difficulty": "medium", |
| "reference_answer": "..." |
| } |
| ] |
| } |
| ``` |
| |
| ### Query types |
|
|
| | Type | Count | Description | |
| |--------------------------|-------|-------------------------------------------------------------| |
| | `claim_rebuttal_counter` | 13 | FOR claim → AGAINST rebuttal → FOR counter (3-hop) | |
| | `theme_comparison` | 13 | Compare both sides on a shared theme (2-hop) | |
| | `tone_disagreement` | 13 | Identify the most heated exchange (2-hop, acoustic cues) | |
|
|
| **39 queries total** across 13 debates (3 per debate). |
|
|
| ### Format |
| - Audio: not included (MP3 episodes from the publisher's feed) |
| - Annotations: JSON Lines, one row per debate |
|
|
| ### Stats |
| | Stat | Value | |
| |-----------------------|-------| |
| | Debates | 13 | |
| | Queries | 39 | |
| | Per-debate duration | ~50 – 60 min | |
| | Total audio runtime | ~11 hours | |
|
|
| --- |
|
|
| ## Licensing summary |
|
|
| | Item | License | |
| |-------------------------------|----------------------| |
| | `iq2_qa/` annotations | CC-BY-4.0 | |
| | `iq2_qa` audio (not included) | Copyright Open to Debate Foundation; obtain from the publisher | |
|
|
|
|
| --- |
|
|
| ## Changes |
|
|
| - **October 2026:** The `aae_tts` config (AAE-TTS, a two-speaker speech |
| rendering of the Argument Annotated Essays corpus, version 2) was removed. |
| The AAE2 license does not permit redistribution of the corpus, so AAE-TTS is |
| used for evaluation in the paper but is not released. |
| - **October 2026:** The IQ2-QA debate audio was removed, because it is |
| copyrighted by Open to Debate Foundation. Each row now records the source |
| episode (`source`), so the exact files used in the paper can be traced. |
|
|
