---
title: crowd-recital-whisper-training
canonical_url: "https://www.modelscope.cn/datasets/ivrit-ai/crowd-recital-whisper-training"
md_url: "https://www.modelscope.cn/datasets/ivrit-ai/crowd-recital-whisper-training.md"
repository: ivrit-ai/crowd-recital-whisper-training
last_updated: 2026-02-06
license: other
storage_size: "2.2 GB"
downloads: 71
stars: 0
---

# crowd-recital-whisper-training

> crowd-recital-whisper-training - ivrit-ai 在 ModelScope 开源的数据集。Dataset Card for ivrit.ai - Crowd Recital

ivrit-ai/crowd-recital-whisper-training 是 ModelScope 魔搭社区上的数据集，存储大小 2.2 GB，采用 other 许可。

- **Repository**: ivrit-ai/crowd-recital-whisper-training
- **License**: other
- **Storage size**: 2.2 GB
- **Downloads**: 71
- **Stars**: 0
- **Last updated**: 2026-02-06

Source: https://www.modelscope.cn/datasets/ivrit-ai/crowd-recital-whisper-training

---

# Dataset Card for ivrit.ai - Crowd Recital

<!-- Provide a quick summary of the dataset. -->



## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



# License
The dataset is released under the ivrit.ai License, which enables broad research and commercial use.
- Full license: https://www.ivrit.ai/en/the-license/
- FAQs: https://www.ivrit.ai/en/license-faqs/
- 
## Dataset Structure

### Data Fields

Each example in the dataset contains:

- `audio`: An audio column containing:
  - `bytes`: The audio data encoded in MP3 format
  - `path`: A string identifier derived from the source entry ID
  - Sampling rate: Fixed at 16000 Hz
- `transcript`: A string containing the text with potentially Whisper-style timestamp tokens (e.g., `<|0.00|>text<|2.40|>`) if "has_timestamps" is true
- `metadata`: A dictionary containing:
  - `seek`: Float indicating the start time of this slice in the original source audio
  - `source`: String identifier for the source of the audio (Name of podcast, production system, etc.)
  - `entry_id`: Unique identifier for the source entry
- `has_prev`: Boolean indicating if this slice has transcript from the previous slice within the audio source
- `has_timestamps`: Boolean indicating if the transcript contains timestamp tokens
- `prev_transcript`: String containing the transcript of the previous slice (empty if `has_prev` is false)