Datasets:

olewave
/

OleSpeech-IV-2025-EN-AR-100

license: other
language:
  - en
tags:
  - audio
  - speech
  - conversation
  - dialog
  - dialogue
  - speaker diariazation
size_categories:
  - n<1K
extra_gated_prompt: >
  By accessing or using this dataset, you agree to the following terms:

  - **Non-commercial research use only**

  - **No redistribution** or sublicensing

  - **Citation required** for publications:
    Olewave, “OleSpeech-IV: A Large-Scale Multispeaker and Multilingual Conversational Speech Dataset with Diverse Topics.” *arXiv preprint*, arXiv:2509.04702, 2025. [https://arxiv.org/abs/2509.04702](https://arxiv.org/abs/2509.04702)
  - **All rights remain with Olewave**

  - For the full license terms, see
  [LICENSE](https://huggingface.co/datasets/olewave/OleSpeech-IV-2025-EN-AR-100/blob/main/LICENSE)
  or contact **[email protected]**
extra_gated_fields:
  Name: text
  Title/Position: text
  Affiliation: text
  Contact Email: text
  Country: text
  Signature (type your full name): text
  Date: date_picker

OleSpeech-IV-2025-EN-AR-100

OleSpeech-IV-2025-EN-AR-100 is a publicly released subset of OleSpeech-IV, a large-scale multilingual and multispeaker conversational speech dataset. This release is intended for non-commercial research use and provides high-quality speech data aligned with transcripts, speaker turns, and additional metadata. A sample of the dataset can be found in the sample/ folder.

Overview

OleSpeech is a tiered dataset series designed to provide speech resources with varying levels of annotation. OleSpeech-IV-2025-EN-AR-100 represents a curated subset of Tier IV data, focusing on English content, featuring:

Multispeaker conversational recordings
Diverse topics from English podcasts, talk shows, teleconferences, and other conversations
Human-refined transcripts, including speaker labels and turn information
Fine-grained timestamps and confidence scores generated using the proprietary Olign alignment pipeline

This subset aims to support research in:

Speech recognition (ASR)
Speaker diarization
Speech-to-text alignment
Multilingual conversational AI

The dataset includes:

Audio files (FLAC format, mono, 16 kHz)
Transcripts with spoken content and audio events
Metadata: timestamps, speaker IDs, and confidence scores

The folder structure follows a conventional train/dev/test split:

├── dev
│ ├── pub_air_program
│ ├── pub_indi_podcast
│ └── pub_talk_shows
├── dev_id2dur.txt
├── test
│ ├── pub_air_program
│ ├── pub_indi_podcast
│ └── pub_talk_shows
├── test_id2dur.txt
├── train
│ ├── pub_air_program
│ ├── pub_indi_podcast
│ └── pub_talk_shows
└── train_id2dur.txt

dev/pub_air_program

├── 3SDOr0_BtF67d5b
│ ├── 3SDOr0_BtF67d5b.en.spker.block.json
│ └── 3SDOr0_BtF67d5b.flac

The format of *.en.spker.block.json

{
  "speaker": 0,
  "start_time": "0.05",
  "end_time": "37.80",
  "confidence": "0.88",
  "block": [
    {
      "start_time": "0.05",
      "end_time": "2.08",
      "transcript": " that he got there,",
      "confidence": "0.84",
      "overlap": false
    },
    {
      "start_time": "2.14",
      "end_time": "4.43",
      "transcript": "that he got to the place to act like a fighter,",
      "confidence": "0.93",
      "overlap": false
    },
    // ...
    {
      "start_time": "34.23",
      "end_time": "37.80",
      "transcript": "this is Cus, with punches with bad intentions.",
      "confidence": "0.81",
      "overlap": false
    }
  ]
},
// ...
{
        "speaker": 1,
        "start_time": "264.38",
        "end_time": "264.62",
        "confidence": "0.80",
        "block": [
            {
                "start_time": "264.38",
                "end_time": "264.62",
                "transcript": "Yeah.",
                "confidence": "0.80",
                "overlap": true
            }
        ]
    },
    {
        "speaker": 0,
        "start_time": "264.38",
        "end_time": "270.78",
        "confidence": "0.74",
        "block": [
            {
                "start_time": "264.38",
                "end_time": "265.10",
                "transcript": "You know what I mean?",
                "confidence": "0.54",
                "overlap": true
            },
            // ...
    }
// ...
}

License and Data Use

This dataset is provided under the Olewave Data Use Agreement (DUA). By accessing or using this dataset, you agree to the following terms:

Non-commercial research use only
No redistribution or sublicensing
Citation required for publications Olewave, “OleSpeech-IV: A Large-Scale Multispeaker and Multilingual Conversational Speech Dataset with Diverse Topics.” arXiv preprint, arXiv:2509.04702, 2025. https://arxiv.org/abs/2509.04702
All rights remain with Olewave

For the full license terms, see LICENSE or contact [email protected].

OleSpeech-IV-2025-EN-AR-100

Overview

Contents

License and Data Use