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wahyurejeki/dapurmu-conversational-commerce-10k

published by @wahyurejeki

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
198
Last 30 days
48
Likes
-
Size
163.8 MB
Created on HF
2026-09-06
Age
1 months ago

Description

🍳 Dapurmu Conversational AI-Commerce (10.499 Dialogs)

Dataset multi-turn conversational e-commerce bergaya pedagang pasar lokal Indonesia ("Kang Dapur") yang dilengkapi dengan fitur:

Tawar-menawar produk segar (margin lebar)

Penolakan sembako margin tipis dan pengalihan bundling

Konsultasi menu resep masakan Nusantara

Cek stok & kesegaran

Pertahanan anti-jailbreak (floor price protection)

Format: ChatML / OpenAI Tool Calling format.

Tags

task_categories:text-generationlanguage:idlicense:apache-2.0size_categories:10K<n<100Kformat:jsonlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face

language:

  • id
    license: apache-2.0
    task_categories:
  • text-generation
  • conversational
    pretty_name: Dapurmu Conversational AI-Commerce 10k Dataset
    size_categories:
  • 10K<n<100K

🍳 Dapurmu Conversational AI-Commerce (10.499 Dialogs)

Dataset multi-turn conversational e-commerce bergaya pedagang pasar lokal Indonesia ("Kang Dapur") yang dilengkapi dengan fitur:

  • Tawar-menawar produk segar (margin lebar)
  • Penolakan sembako margin tipis dan pengalihan bundling
  • Konsultasi menu resep masakan Nusantara
  • Cek stok & kesegaran
  • Pertahanan anti-jailbreak (floor price protection)

Format: ChatML / OpenAI Tool Calling format.

README history 19 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-09-10Update dataset: COD-only payment, 10KM delivery radius, flat Rp2000 shipping ...b6d43e0640 B
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  2. 2026-09-07feat: update train.jsonl with Apriori association recommendations (14,320 rows)36e5e6a640 B
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  3. 2026-09-07feat: update dataset with Apriori association recommendations (14,320 rows)92e9496640 B
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  4. 2026-09-07feat: inject regional culinary dialects (jangan tahu) and unknown dish clarif...f320ef4640 B
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  5. 2026-09-07feat: inject wet-market slang, synonyms, and abbreviations resolution (13,820...22a113e640 B
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  6. 2026-09-07Adjust customer service to pure text-only complaint resolution (13,320 rows)095d5c4640 B
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  7. 2026-09-07Add after-sales customer service and freshness guarantee dialogs (13,320 rows)5147409640 B
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  8. 2026-09-06Update dataset with anti-harassment, profanity, and NSFW defense dialogs (12,...f09dfdc640 B
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  9. 2026-09-06Upload dapurmu_train_dataset.jsonl with huggingface_hubcc91e38640 B
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  10. 2026-09-06Upload dapurmu_train_dataset.jsonl with huggingface_hub1f8b8b4640 B
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  11. 2026-09-06Upload dapurmu_train_dataset.jsonl with huggingface_hube15b663640 B
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  12. 2026-09-06Upload dapurmu_train_dataset.jsonl with huggingface_hub347827f640 B
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  13. 2026-09-06Upload dapurmu_train_dataset.jsonl with huggingface_hubec88752640 B
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  14. 2026-09-06Upload dapurmu_train_dataset.jsonl with huggingface_hub11ef88c640 B
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  15. 2026-09-06Add out-of-domain refusal guardrails (coding, history, science, politics) to ...515ee85640 B
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  16. 2026-09-06Add voucher intelligence and upselling scenarios to 10k dataset66f31f7640 B
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  17. 2026-09-06Add README.md365d70e640 B
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  18. 2026-09-06Add 10,499 multi-turn training conversations for Dapurmu AI-Commerceec814db0 B
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  19. 2026-09-06initial commitb2ee64c0 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-09-07[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
apache-2.0

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("wahyurejeki/dapurmu-conversational-commerce-10k")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="wahyurejeki/dapurmu-conversational-commerce-10k", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/wahyurejeki/dapurmu-conversational-commerce-10k
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