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Sanmati Leading Questions

Sanmati Leading Questions contains spoken answers to leading questions in six Indian languages. A worker is asked a prompt, and the recording is their spoken response. This is not a story-recitation dataset.

text is the worker's spoken answer. question is the prompt they were asked. Simple <b> markup around a prompt is removed before the prompt is stored. variant is main or v3. Bengali, Hindi, Malayalam, Marathi, and Telugu include both variants. Bhojpuri has main only.

What is in each row

Column Description
text Spoken answer, from acs_transcription_recordingN.
question Prompt the worker was asked, from questionN, with simple HTML bold tags removed.
question_index 1-based index N of that prompt on the worker's export row.
tar_file Repository path of the uncompressed tar shard that holds the WAV.
audio_in_tar Member name of the WAV inside that tar.
sha256 SHA-256 hex digest of the WAV bytes.
num_bytes WAV size in bytes.
lang Language code: bh, bn, hi, ml, mr, or te.
variant main or v3.
worker_id Worker identifier from the export.
duration durationN from the export, in milliseconds.

Audio files are stored in uncompressed tar shards next to the parquet metadata:

  • data/{lang}/train-00000-of-NNNNN.parquet
  • data/{lang}/train-00000-of-NNNNN.tar

Each parquet row points at one WAV through tar_file and audio_in_tar. Rows from main and v3 share a language's shard sequence. If the same WAV basename occurs in both variants, both rows are kept and the later tar member is stored as {variant}/{basename}.

Hugging Face's audio player may not play members packed inside tar files. Open the sibling tar and read audio_in_tar.

Languages

Choose a configuration to load one language. Each configuration has a single train split. There is no held-out evaluation split.

Config Language Examples Variants
bh Bhojpuri 0 0 main
bn Bengali 90,353 32,653 main / 57,700 v3
hi Hindi 58,940 14,545 main / 44,395 v3
ml Malayalam 84,506 53,507 main / 30,999 v3
mr Marathi 83,640 28,228 main / 55,412 v3
te Telugu 67,279 23,110 main / 44,169 v3

There are 384,718 usable clips in total. Usable clips are WAV files that join to a non-empty transcription. Bhojpuri currently has no usable clips because every BH WAV in this export lacks a transcription.

Loading the data

from datasets import load_dataset

bengali = load_dataset("karya/sanmati-leading-question", "bn", split="train")
print(bengali[0]["question"])
print(bengali[0]["text"])
print(bengali[0]["tar_file"], bengali[0]["audio_in_tar"])

Access

Access is manually approved. Accept the conditions on the dataset page before downloading files.

Acknowledgments

We gratefully acknowledge the communities and individuals who contributed these recordings and transcripts.

License

This work is licensed under a KPL BY-NC-SA-FS 1.0 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.

See LICENSE in this repository and the full text at karya-inc/kpl.

Commercial Use

If you are interested in using this dataset for commercial purposes, please contact us. 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.

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