---
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.