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These are spoken answers to agriculture, career, and health prompts. Access is granted by hand. Use is under the KPL BY-NC-SA-FS 1.0 license: noncommercial use only, with attribution, and share-alike for adaptations and for software that incorporates the material.

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Sanmati task 4

Spoken answers to agriculture, career, and health prompts in six language folders: bh, bn, hi, ml, mr, and te. All six are in this dataset, including Bhojpuri and Hindi.

Each config loads one language. load_dataset(repo, "bn") reads only the Bengali parquet files.

Audio and text

Audio is not stored inside the parquet. Each parquet shard has a sibling uncompressed tar with the same name:

  • data/{lang}/train-{iiii}-of-{nnnn}.parquet
  • data/{lang}/train-{iiii}-of-{nnnn}.tar

A row's audio_in_tar is the wav member name inside tar_file. The wav is the original uncompressed file. text is the transcription of that answer. question is the prompt that was asked. duration is the value from the source export, in milliseconds. speech_present is the source flag for whether speech was detected.

column meaning
text transcription of the answer
question prompt that was asked
prompt_id prompt stem, such as agri_q1 or health_scenario_q2
domain agri, career, or health
scenario scenario text for scenario prompts; empty otherwise
scenario_prompt scenario prompt for scenario prompts; empty otherwise
tar_file path of the sibling tar in this repo
audio_in_tar wav member name
sha256 sha256 of the wav bytes
num_bytes wav size
lang folder code
worker_id worker id from the export
datapoint_id datapoint id from the export
duration source duration, in milliseconds
speech_present source flag

The Hub audio player does not play a file that lives inside a tar. Read the parquet, then open that member from the matching tar.

Languages

Bhojpuri (bh) is included. Its audio and questions are present. Its transcriptions are not: text is empty on every Bhojpuri row. Hindi (hi) is included, with transcriptions on most rows.

Hours below are duration converted from milliseconds. Sizes are the uncompressed wav bytes.

lang name in dataset clips hours GB clips with transcription
bh Bhojpuri yes 1,805 8.7 1.0 0
bn Bengali yes 25,154 116.6 13.4 23,819
hi Hindi yes 41,868 181.6 20.9 33,424
ml Malayalam yes 3,423 26.8 3.1 3,354
mr Marathi yes 31,324 143.2 16.5 26,654
te Telugu yes 15,524 83.7 9.6 15,225
119,098 560.6 64.6 102,476

Empty recordings were left out (bn 11, ml 1, mr 4, te 1).

Split

Every row is train. There is no held-out eval split.

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