Indonesian-Learner-English

Description

This dataset contains text-to-speech recordings from 16 English language learners with various social backgrounds and dialects among Indonesian speakers.

Specifics

Licensing

Creative Commons Attribution Non Commercial Share Alike 4.0 International (CC-BY-NC-SA-4.0)

https://spdx.org/licenses/CC-BY-NC-SA-4.0.html

Considerations

Restrictions/Special Constraints

This dataset is restricted to non-commercial use and is intended exclusively for research, machine learning development, and internal use. The internal use means the dataset is not allowed to be re-hosted, re-shared, and re-distributed so the dataset access is granted only from the MDC platform. Any use beyond these purposes, including commercial applications, requires explicit authorization and is not permitted under the current usage terms.

Forbidden Usage

The dataset must not be used for voice cloning, speaker imitation, or the development of models designed to replicate the identities, voices, or speech patterns of the specific individuals represented in the corpus. Using this dataset to train chatbots, large language models, or other AI systems that imitate specific speakers is strictly prohibited. Additionally, the dataset is not permitted for commercial purposes.

Language:

English

Speakers:

There are 16 speakers from different ages between 20 and 40, sociocultural backgrounds, and proficiency levels. There are 6 advanced learners, 9 speakers with intermediate levels as well as 1 speaker with beginner level. Most of them are native bilingual Indonesian and local languages of Indonesia (Javanese, Sundanese, Mandarnese).

Sources:

The source text consists of 1,001 sentences taken from this multilingual readability corpus. The sentences are from OpenSubtitles, and are between 1 and 10 words long.

Size:

Approximately 11.5 hours

Attribution:

Public open access is permitted with proper attribution and citation of the dataset source.

Abdul Cholik Al Aziz, Adiguna Suwondo, Alifa Ardla Farahdila, Dhila Damayanti, Diny Opticawati, Masyhuri Farhan, Feby Nur Dianingtyas, Muqsit Harjuno, Lailatul Zunaeva, Puput Rizky Afriani, Rahmah Nabilatun Nisa’, Sinta Dwi Kurnia, Yunus Aji Lumintang. (2026). Indonesian-Learner-English [Data set]. Mozilla Data Collective. URL [dataset link].

Structure:

The dataset contains a TSV file, metadata.tsv, with the following columns:

audio_id: A unique identifier for each audio recording, formatted as speaker_id-recording_id.
speaker_id: A unique identifier assigned to each speaker.
audio_filename: The filename of the corresponding audio recording.
sentence: The text corresponding to the audio recording.
num_attempts: The number of recording attempts made by the speaker. Speakers were asked to read each sentence as fluently as possible and were encouraged to retake the recording if they encountered difficulties during the reading.