--- license: - cc-by-4.0 - cc-by-sa-4.0 - cc-by-3.0 language: - hi - bn - ta - te - mr - gu - kn - ml - pa - or - as - ur - en task_categories: - automatic-speech-recognition tags: - indic - hinglish - code-switching - benchmark - speech-to-text - evaluation - logatra pretty_name: Logatra Benchmark size_categories: - 1K/.json` | the raw cached response of every provider call: text, latency and the provider's own payload | | `report/data.json`, `report/rows.json` | aggregated and per-sample metrics (WER, CER, script-agnostic WER, latency, cost) | | `manifests/heldout_yt.adjudications.json` | every adjudication decision for the 36 held-out rows that failed the automatic consensus gate | | `assets/` | the figures on this page and the Logatra logo | The dataset viewer shows three configs: `heldout` (silver references), `fleurs` and `mucs2021`. Audio paths in the manifests are relative to the `manifests/` folder. ```python from huggingface_hub import snapshot_download path = snapshot_download("CooledNik/logatra-benchmark", repo_type="dataset") # then score offline with the harness from github.com/Nemukai/logatra-benchmark ``` ## How the held-out split was made Eleven Hindi and Hinglish YouTube videos published between January and June 2026, each released by its uploader under the Creative Commons Attribution license, were cut into 132 chunks of about 22 seconds. They are long-form interviews, podcasts and talks: conversational speech with code-mixing, the kind of audio [Logatra](https://logatra.com) customers upload. Only the chunks are shipped, never the full videos. ### References are silver, not gold There is no human gold transcription of the held-out split yet. Each reference is the medoid of three systems' hypotheses under a script-agnostic consensus distance, and the 36 rows that failed the automatic gate were adjudicated case by case. The systems that contributed hypotheses (saarika, Gemini, Whisper) score against references they partly wrote, so their held-out scores are upper bounds; `self_ref_rate` in `report/data.json` gives the exposure per system (saarika 58%, Gemini 38%, Whisper 5%). Read the methodology in the [GitHub README](https://github.com/Nemukai/logatra-benchmark) before citing held-out numbers. ## What is deliberately not here The Gramvaani Hindi telephony subset (OpenSLR 118, 2,917 clips) is licensed for academic use only, with commercial use by permission and no redistribution grant. Its audio, transcripts and the provider outputs derived from it are excluded. The manifests keep the Gramvaani rows with an empty `reference_text` so sample ids stay stable; the GitHub repository documents how to download OpenSLR 118 yourself and merge the references back in. Nothing in this dataset comes from Logatra customers or private recordings. ## Licensing Each subset keeps the license of its source, and every manifest row carries its own `license` field. | Subset | Source | License | |---|---|---| | `fleurs` | [google/fleurs](https://huggingface.co/datasets/google/fleurs), test split (Conneau et al., 2022) | CC-BY-4.0 | | `mucs2021` | [OpenSLR 104](https://www.openslr.org/104/), MUCS 2021 subtask 2 (Diwan et al., 2021) | CC-BY-SA-4.0 | | `heldout_yt` | 11 YouTube videos whose uploaders chose the Creative Commons Attribution license; per-video credit in `ATTRIBUTION.md` | CC-BY-3.0 | | `results/`, `report/` | Nemukai's own API calls and measurements, derived from the audio above | same license as the underlying subset; the MUCS-derived outputs are CC-BY-SA-4.0 | If you hold the rights to any of the held-out videos and want your material removed, open an issue on the [GitHub repository](https://github.com/Nemukai/logatra-benchmark) and it will be pulled promptly. ## Disclosure [Logatra](https://logatra.com) is Nemukai's transcription product, so we have a stake in these numbers. The benchmark exists because we needed to choose a provider and did not trust vendor-reported results. Logatra runs Sarvam saaras:v4 in production as of October 2026, even though saaras v3 leads on the held-out split here. Every raw provider response is shipped so the scoring can be checked. ## Citation ```bibtex @misc{logatra-benchmark-2026, title = {Logatra Benchmark: speech-to-text on Indian languages and Hinglish}, author = {Singh, Priyansh Kumar}, year = {2026}, publisher = {Nemukai}, url = {https://huggingface.co/datasets/CooledNik/logatra-benchmark} } ``` Please also cite the source datasets: FLEURS (Conneau et al., 2022) and MUCS 2021 (Diwan et al., 2021).