README.md

---
license: apache-2.0
dataset_info:
  features:
  - name: hypothesis
    sequence: string
  - name: transcription
    dtype: string
  - name: input1
    dtype: string
  - name: hypothesis_concatenated
    dtype: string
  - name: source
    dtype: string
  - name: id
    dtype: string
  - name: am_score
    sequence: float64
  splits:
  - name: train
    num_bytes: 86387796
    num_examples: 97396
  - name: test
    num_bytes: 5386309
    num_examples: 6129
  download_size: 26832650
  dataset_size: 91774105
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

# Dataset Name: Pilot dataset for Multi-domain ASR corrections

## Description

Consolidated from [PeacefulData/HyPoradise-v0](https://huggingface.co/datasets/PeacefulData/HyPoradise-v0)

## Structure

### Data Split

- **Training Data**: 168,460 entries
- **Test Data**: 6,992 entries

### Columns

- `hypothesis`: N-best hypothesis from beam search.
- `transcription`: Corrected asr transcription.
- `hypothesis_concatenated`: An alternative version of the text output.
- `source`: The source of the text entry, indicating the origin dataset.
- `score`: An acoustic model score (not all entries have this).

### Source Distribution

- **Training Sources**:
  - `train_cv`: 47,293 entries
  - `train_wsj`: 37,514 entries
  - `train_swbd`: 36,539 entries
  - `train_chime4`: 9,600 entries

- **Test Sources**:
  - `test_swbd`: 2,000 entries
  - `test_cv`: 2,000 entries
  - `test_chime4`: 1,320 entries
  - `test_wsj`: 836 entries

## Access

The dataset can be accessed and downloaded through the HuggingFace Datasets library. Use the following command to load the dataset:

```python
from datasets import load_dataset
dataset = load_dataset("PeacefulData/HyPoradise-pilot")
```

## Acknowledgments

Thanks https://huggingface.co/datasets/PeacefulData/HyPoradise-v0 for sharing this dataset.