|
|
|
# Dataset Card for ChaLL |
|
|
|
## Table of Contents |
|
- [Table of Contents](#table-of-contents) |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** https://github.com/mict-zhaw/chall_e2e_stt |
|
- **Repository:** https://github.com/mict-zhaw/chall_e2e_stt |
|
- **Paper:** tbd |
|
- **Leaderboard:** |
|
- **Point of Contact:** [email protected] |
|
|
|
### Dataset Summary |
|
|
|
This dataset contains audio recordings of spontaneous speech by young learners of English in Switzerland. |
|
The recordings capture various language learning tasks designed to elicit authentic communication from the students. |
|
The dataset includes detailed verbatim transcriptions with annotations for errors made by the learners. |
|
The transcripts were prepared by a professional transcription service, and each recording was associated with detailed metadata, including school grade, recording conditions, and error annotations. |
|
|
|
#### Data Availability |
|
|
|
> [!WARNING] |
|
> The dataset that we collected contains sensitive data of minors and thus cannot be shared publicly. The |
|
> data can, however, be accessed as part of a joint project with one or several of the original project |
|
> partners, subject to a collaboration agreement (**yet to be detailed**). |
|
|
|
To use the ChaLL dataset, you need to download it manually. |
|
Once you have manually downloaded the files, please extract all files into a single folder. |
|
You can then load the dataset into your environment using the following command: |
|
|
|
```python |
|
from datasets import load_dataset |
|
dataset = load_dataset('chall', data_dir='path/to/folder/folder_name') |
|
``` |
|
|
|
Ensure the path specified in `data_dir` correctly points to the folder where you have extracted the dataset files. |
|
|
|
Examples in this dataset are generated using the `soundfile` library (for reading and chunking). |
|
To handle the audio data correctly, you need to install the soundfile library in your project. |
|
|
|
```shell |
|
pip install soundfile |
|
``` |
|
|
|
#### Data Configuration |
|
|
|
The |
|
|
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed] |
|
|
|
### Languages |
|
|
|
The primary language represented in this dataset is English, specifically as spoken by Swiss children who are learners of the language. |
|
This includes a variety of accents and dialectal influences from the German-speaking regions of Switzerland. |
|
|
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
A typical data instance in this dataset include an audio file, its full transcription, error annotations, and associated metadata such as the speaker's grade level and recording conditions. |
|
Here is an example: |
|
|
|
```json |
|
{ |
|
|
|
} |
|
``` |
|
|
|
### Data Fields |
|
|
|
[More Information Needed] |
|
|
|
### Data Splits |
|
|
|
#### `asr_acl` |
|
|
|
For the experiments in this paper, we split the dataset into five distinct folds of similar duration |
|
(about 16h each), where each class (and therefore also each speaker) occurs in only one fold. |
|
To simulate the use case of the ASR system being confronted with a new class of learners, each fold |
|
contains data from a mix of grades. The following figure visualises the duration and grade distribution of each fold. |
|
|
|
![Chall Folds](doc/chall_data_folds_v1.svg) |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
The dataset was created to address the need for ASR systems that can handle children’s spontaneous speech |
|
and preserve their errors to provide effective corrective feedback in language learning environments. |
|
|
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
Audio data was collected from primary school students aged 9 to 14 years, performing language learning tasks in pairs, trios, or individually. The recordings were made at schools and universities, and detailed verbatim transcriptions were created by a transcription agency, following specific guidelines. |
|
|
|
|
|
#### Who are the source language producers? |
|
|
|
The source data producers include primary school students from German-speaking Switzerland, aged 9 to 14 years, participating in language learning activities. |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
The transcription and annotation process was outsourced to a transcription agency, following detailed guidelines for error annotation, |
|
including symbols for grammatical, lexical, and pronunciation errors, as well as German word usage. |
|
|
|
|
|
#### Who are the annotators? |
|
|
|
The annotators were professionals from a transcription agency, trained according to specific guidelines provided by the project team. |
|
|
|
### Personal and Sensitive Information |
|
|
|
The dataset contains audio recordings of minors. |
|
All data was collected with informed consent from legal guardians, and recordings are anonymized to protect the identities of the participants. |
|
|
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
The dataset supports the development of educational tools that could enhance language learning for children, providing an important resource for educational technology. |
|
|
|
### Discussion of Biases |
|
|
|
Given the specific demographic (Swiss German-speaking schoolchildren), the dataset may not generalize well to other forms of English or to speakers from different linguistic or cultural backgrounds. |
|
|
|
### Other Known Limitations |
|
|
|
The outsourcing of transcription and error annotations always poses a risk of yielding erroneous data, since most |
|
transcribers are not trained in error annotation. |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
The dataset was curated by researchers at PHZH, UZH and Zhaw, with collaboration from local schools in Switzerland. |
|
|
|
### Licensing Information |
|
|
|
[More Information Needed] |
|
|
|
### Citation Information |
|
|
|
```bibtex |
|
@inproceedings{ |
|
anonymous2024errorpreserving, |
|
title={Error-preserving Automatic Speech Recognition of Young English Learners' Language}, |
|
author={Anonymous}, |
|
booktitle={The 62nd Annual Meeting of the Association for Computational Linguistics}, |
|
year={2024}, |
|
url={https://openreview.net/forum?id=XPIwvlqIfI} |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@mict-zhaw](https://github.com/<github-username>) for adding this dataset. |