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Challenge

Build a Vernacular Artisan Catalog Story and Beckn Item Formatter

Convert vernacular voice descriptions from rural craft producers into structured product listings. Validate geographical indication claims and format items for open commerce discovery.

Workflow AutomationHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Convert vernacular voice descriptions from rural craft producers into structured product listings. Validate geographical indication claims and format items for open commerce discovery.

Handicraft cooperative facilitator

Transcribe regional artisan voice recordings into vernacular text using mock Bhashini ASR pipelines.

Translate cultural craft specifications and materials into English catalog metadata via Bhashini NMT.

Extract raw material dimensions, care instructions, and geographical origin claims into structured records.

Assemble compliant Beckn Core 1.0.0 catalog items for human verification and publication.

Voice recording upload pane, bilingual side-by-side translation editor, and Beckn catalog preview.

Synthesize artisan voice transcripts and regional craft profiles based on open handicraft directory attributes. Starter examples below are synthetic. They are not downloaded records.

Bhashini documentation Adopts Bhashini ULCA pipeline sequence conventions (ASR + NMT) with ISO-639 regional language codes.

dspy, pydantic, fastapi. Optimizes prompt chains for extracting standardized product attributes from dialect-heavy artisan speech. Local Ollama instance or Claude API capable of zero-shot structured information extraction.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Translate regional audio transcripts to English while retaining cultural craft terminologies.

Produce standardized Beckn item objects containing descriptor, price, and category_id.

Flag unverified geographical indication references for artisan cooperative review.

Validate final catalog document against Beckn schema version 1.0.0.

```json [ { "input": { "artisan_id": "art-punjab-04", "voice_transcript": "Ehe hath naal baniya phulkari dupatta hai pure georgette utte reshmi dhage da kamm", "language_code": "pa" }, "expected_output": { "title_en": "Handmade Phulkari Dupatta", "material": "Pure Georgette with Silk Embroidery", "craft_style": "Phulkari", "beckn_item": { "descriptor": { "name": "Handmade Phulkari Dupatta", "short_desc": "Traditional hand-embroidered georgette dupatta" }, "tags": [ { "code": "craft_type", "value": "phulkari" } ] }, "requires_origin_check": false } }, { "input": { "artisan_id": "art-rajasthan-12", "voice_transcript": "Kala mitti da bartan bina stamp da par kishangarh da daawa", "language_code": "hi" }, "expected_output": { "title_en": "Black Clay Pottery Vessel", "material": "Terracotta Clay", "craft_style": "Black Pottery", "beckn_item": { "descriptor": { "name": "Black Clay Pottery Vessel", "short_desc": "Handcrafted earthen vessel" }, "tags": [ { "code": "craft_type", "value": "earthenware" } ] }, "requires_origin_check": true } } ] ```

Does not publish unverified commercial claims to active networks; simulates Beckn registry interactions. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Does not publish unverified commercial claims to active networks; simulates Beckn registry interactions. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Translate regional audio transcripts to English while retaining cultural craft terminologies. Produce standardized Beckn item objects containing descriptor, price, and category_id. Flag unverified geographical indication references for artisan cooperative review. Validate final catalog document against Beckn schema version 1.0.0.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Transcribe regional artisan voice recordings into vernacular text using mock Bhashini ASR pipelines. Translate cultural craft specifications and materials into English catalog metadata via Bhashini NMT. Extract raw material dimensions, care instructions, and geographical origin claims into structured records. Assemble compliant Beckn Core 1.0.0 catalog items for human verification and publication.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Translate regional audio transcripts to English while retaining cultural craft terminologies. Produce standardized Beckn item objects containing descriptor, price, and category_id. Flag unverified geographical indication references for artisan cooperative review. Validate final catalog document against Beckn schema version 1.0.0.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Voice recording upload pane, bilingual side-by-side translation editor, and Beckn catalog preview.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Does not publish unverified commercial claims to active networks; simulates Beckn registry interactions.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Transcribe regional artisan voice recordings into vernacular text using mock Bhashini ASR pipelines.

  • Translate cultural craft specifications and materials into English catalog metadata via Bhashini NMT.

  • Extract raw material dimensions, care instructions, and geographical origin claims into structured records.

  • Assemble compliant Beckn Core 1.0.0 catalog items for human verification and publication.

Resources and assets

Reference links and supporting material

Dataset notes

Synthesize artisan voice transcripts and regional craft profiles based on open handicraft directory attributes. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

DSPy

Prompt and LM program optimization framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Transcribe regional artisan voice recordings into vernacular text using mock Bhashini ASR pipelines. Transl...
  • Translate regional audio transcripts to English while retaining cultural craft terminologies. Produce stand...
  • Voice recording upload pane, bilingual side-by-side translation editor, and Beckn catalog preview.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 3 configured tools

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • DSPy · Optional
Training Infra
  • DSPy · Optional
Orchestration
  • DSPy · Optional

Evaluation contract

  • Complete workflow · Weight 40
  • Correctness and evidence · Weight 30
  • Review interface · Weight 20
  • Safe execution · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Vernacular Artisan Catalog Story and Beckn Item Formatter