Datasets:
Native-speaker Indic eval for the languages IndicVisionBench cares about
Hi Krutrim team,
Congrats on IndicVisionBench landing at ICLR 2026. Building your own culturally grounded, multilingual benchmark for the Indian context says the quiet part out loud: the hard part of Indic evaluation is not raw model scale, it is native-speaker judgment of fluency, preference, and cultural correctness across a lot of languages. On top of Krutrim-2 and Krutrim-Translate spanning Bengali, Hindi, Kannada, Marathi, Malayalam, Gujarati, Telugu, Punjabi, and Tamil, that judgment layer is exactly the part that still needs people.
That is what we run. Boltwork is a human-data network of native speakers in long-tail languages, with a live Hindi panel now and more Indic languages available from the same crowd. Quality is built into the pipeline: hidden gold checks, multi-judge consensus across distinct workers, per-worker trust scores, and a written rationale plus an error-category tag and provenance on every judgment, so the labels are auditable, not a bare score.
The offer is free: send 100 to 300 of your own items (preference pairs, output ratings, or fluency judgments) in any of your Indic languages, and we return labeled JSONL in about a week with full QC stats. On our pilot set we run about 92% gold accuracy and 95% inter-annotator agreement. No cost, no commitment. The cleanest read is on a couple of your scarcest languages.
One operational detail that helps us reach and keep native speakers across India: we pay them instantly in Bitcoin over Lightning, which sidesteps the payout and KYC friction that usually breaks the unit economics at the long tail.
Methodology and deliverable format: https://lightningfaucet.com/boltwork/data/. Reply here or at partnerships@team.lightningfaucet.com and we will send a redacted sample record.
Worth 15 minutes?
Boltwork Team