| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train/* |
| - split: test |
| path: data/test/* |
| - split: validation |
| path: data/validation/* |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - automatic-speech-recognition |
| language: |
| - iru |
| - ta |
| tags: |
| - audio |
| - speech |
| - automatic-speech-recognition |
| - asr |
| - life app |
| - iru |
| - ta |
| pretty_name: Irula Translation Transcription |
| description: Irula_Translation_Transcription |
| homepage: https://lifeapp.unreal-tece.co.in/projects/D_Irula_Translation_Transcription |
| citation: '' |
| --- |
| |
| # Irula Translation Transcription |
|
|
| ## Dataset Description |
|
|
| - **Project:** Irula Translation Transcription |
| - **Contributors:** Benakkesh, Unais, Aliza, Nithin, Gowri, Roy WorkShop003, WorkShop005, WorkShop004, Work Shop Unreal Tece, WorkShop002, BoLI, WorkShop001 |
|
|
| ## About |
|
|
| Irula_Translation_Transcription |
|
|
| ## Tools |
|
|
| We employed **Karya** and **Atekho** for collecting and recording data. The complete dataset is transcribed and exported using **MATra Lab**. Both Atekho and MAtra Lab are part of the [LiFE Suite Ecosystem](https://life.unreal-tece.co.in), developed by [Unreal Tece LLP](https://unreal-tece.co.in). |
|
|
| ## Speakers |
|
|
| Benakkesh, Unais, Aliza, Nithin, Gowri, Roy |
|
|
| ## Annotators |
|
|
| WorkShop003, WorkShop005, WorkShop004, Work Shop Unreal Tece, WorkShop002, BoLI, WorkShop001 |
|
|
| ## Structure |
|
|
| The dataset is organized by splits (e.g. train, test, validation). |
|
|
| Each row contains audio, audio-level metadata, prompt metadata and speaker metadata as described below: |
|
|
| **Audio and Audio-level Metadata** |
| - `audio`: The audio file path (loaded as Audio feature in HF Datasets) |
| - `audio_id`: Unique identifier for the audio |
| - `filename`: Original filename |
| - `sentence-<SCRIPT>-transcription`: Text transcription of the audio in the given script |
| - `speaker_id`: Identifier for the speaker |
| - `boundaryID`: Identifier for the boundary |
| - `start_time`: Start time of the segment in seconds |
| - `end_time`: End time of the segment in seconds |
|
|
| **Prompt Metadata** |
| - 'Q_Id`: Unique identifier for the question or prompt associated with the audio (maps to the question in the LiFE Questionnaire projects and accessible through the questionnaire repo) |
| - 'Domain': Domain of the audio (e.g., Agriculture, Education, General, etc.) |
| - 'Elicitation_Method`: Method used to elicit the speech (e.g., Translation, Narration, etc.) |
| - `Target`: An optional field for translation indicating the grammatical structure being targeted for elicitation using the sentence. |
|
|
| **Speaker Metadata** |
| - `ageGroup`: Age group of the speaker (e.g., 18-30, 30-50, etc.) |
| - `gender`: Gender of the speaker |
| - `educationLevel`: Education level of the speaker |
| - `educationMediumUpto12-list`: Medium of education up to 12th grade (list of comma-separated values) |
| - 'educationMediumAfter12-list`: Medium of education after 12th grade (list of comma-separated values) |
| - `otherLanguages-list`: Languages spoken by the speaker (list of comma-separated values) - this usually excludes the primary language of the dataset and is used to capture multilingualism in speakers. |
| - `nativeLanguage`: The native language of the speaker (optional field if data is collected from non-native speakers of the language) |
| - `placeOfRecording`: The location where the audio was recorded (optional field) or the native place of the speaker (if known) |
| - `typeOfplace`: Whether the placeOfRecording mentioned is City, Town or Village. |
|
|
| **Additional Metadata** |
| - `textgrid_json`: TextGrid data converted to JSON format |
| In addition to any other metadata fields provided during upload are optionally included. |
|
|
| ## License |
|
|
| This work is licensed under a CC-By-NC-SA-4.0 license. |
| This license allows reusers to distribute, remix, adapt, build upon, and |
| incorporate into software systems, the material in any medium or format |
| for noncommercial purposes only, and only so long as attribution is given |
| to the creator. If you remix, adapt, build upon, or incorporate into |
| software systems, you must license the modified material, |
| including material generated by the software system, |
| under identical terms, and license the software system under the |
| GNU General Public License. |
|
|
| ## Commercial Use |
|
|
| If you are interested in using this dataset for commercial purposes, |
| please contact us (contact [at] unreal-tece[dot]co[dot]in). |
| Profits from commercial licensing will be distributed as royalties to |
| the community members who contributed to this dataset. |
|
|
| ## Contact |
|
|
| For questions, issues, or contributions, |
| open an issue on the dataset repository or contact us directly (contact [at] unreal-tece[dot]co[dot]in). |
|
|
|
|
