SujithPulikodan/Vaani-sample-data

Vaani Sample Data — Andhra Pradesh / Annamaya

A small sample slice of the 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

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:

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.