| --- |
| dataset_info: |
| - config_name: audio |
| features: |
| - name: audio |
| dtype: audio |
| - name: file_name |
| dtype: string |
| - name: transcript |
| dtype: string |
| - name: speakerID |
| dtype: string |
| - name: language |
| dtype: string |
| - name: gender |
| dtype: string |
| - name: state |
| dtype: string |
| - name: district |
| dtype: string |
| - name: pincode |
| dtype: string |
| - name: duration |
| dtype: float32 |
| - name: languagesKnown |
| dtype: string |
| - name: stay_years |
| dtype: string |
| - name: isTranscriptionAvailable |
| dtype: string |
| - name: referenceImage |
| dtype: string |
| - name: speakerImageHash |
| dtype: string |
| - name: UtteranceSequenceID |
| dtype: int32 |
| splits: |
| - name: train |
| num_bytes: 218646505 |
| num_examples: 1302 |
| download_size: 214669976 |
| dataset_size: 218646505 |
| - config_name: images |
| features: |
| - name: image |
| dtype: image |
| - name: file_name |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 160409135 |
| num_examples: 973 |
| download_size: 160426214 |
| dataset_size: 160409135 |
| configs: |
| - config_name: audio |
| data_files: |
| - split: train |
| path: audio/train-* |
| - config_name: images |
| data_files: |
| - split: train |
| path: images/train-* |
| --- |
| # Vaani Sample Data — Andhra Pradesh / Annamaya |
|
|
| A small sample slice of the [ARTPARK-IISc/VAANI](https://huggingface.co/datasets/ARTPARK-IISc/VAANI) dataset, covering the `AndhraPradesh_Annamaya` subset. |
| ## Configs |
|
|
| | Config | Split | Rows | Description | |
| |----------|-------|-----:|-------------| |
| | `audio` | train | 1,302 | Telugu speech utterances with transcripts and speaker metadata. | |
| | `images` | train | 973 | Reference images cited via `referenceImage` in the audio config (973 unique images across the 1,302 audio rows). | |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| audio = load_dataset("SujithPulikodan/Vaani-sample-data", "audio", split="train") |
| images = load_dataset("SujithPulikodan/Vaani-sample-data", "images", split="train") |
| ``` |
|
|
| ## Schema |
|
|
| ### `audio` |
|
|
| | Column | Type | Notes | |
| |---|---|---| |
| | `audio` | `Audio` | Embedded audio (WAV bytes + path). | |
| | `file_name` | `string` | Audio basename. | |
| | `transcript` | `string` | Telugu transcription. May contain `<noise>` markers. | |
| | `speakerID` | `string` | Stable speaker identifier. | |
| | `language` | `string` | Spoken language (Telugu). | |
| | `gender` | `string` | Speaker gender. | |
| | `state`, `district`, `pincode` | `string` | Recording location. | |
| | `duration` | `float32` | Seconds. | |
| | `languagesKnown` | `string` | Stringified list, e.g. `['Telugu']`. | |
| | `stay_years` | `string` | How long the speaker has lived in the district. | |
| | `isTranscriptionAvailable` | `string` | `Yes`/`No` (always `Yes` after filtering). | |
| | `referenceImage` | `string` | Path of the prompt image shown to the speaker (matches a row in the `images` config). | |
| | `speakerImageHash` | `string` | Hash of the speaker's image. | |
| | `UtteranceSequenceID` | `int32` | Sequence index within a session. | |
|
|
| ### `images` |
|
|
| | Column | Type | Notes | |
| |---|---|---| |
| | `image` | `Image` | JPEG bytes. | |
| | `file_name` | `string` | Image basename, matches the basename in `audio.referenceImage`. | |
|
|
| To join an audio row with its image: |
|
|
| ```python |
| import os |
| imgs_by_name = {row["file_name"]: row["image"] for row in images} |
| def image_for(audio_row): |
| return imgs_by_name[os.path.basename(audio_row["referenceImage"])] |
| ``` |
|
|
| ## Source & License |
|
|
| Derived from **ARTPARK-IISc/VAANI** by IISc / ARTPARK. Refer to the upstream dataset card for the original license and terms of use; this redistribution inherits them. Please cite the upstream project when using this data. |
|
|
