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xvevx/nona-roleplay-Alpaca-Indo-messages

published by @xvevx

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
94
Last 30 days
94
Likes
-
Size
122.6 MB
Created on HF
2026-10-02
Age
20 days ago

Description

Nona Roleplay Alpaca Indo Dataset

Dataset hasil augmentasi dari podsni/Jenna-50K-Alpaca-Uncensored-indonesia yang telah diformat ulang menjadi gaya percakapan/roleplay kasual Indonesia dengan struktur kolom datar (system, user, assistant).

Pembagian Data (Dataset Split):

Train (train): 90% data ({len(train_data):,} baris)

Validation (validation): 10% data ({len(val_data):,} baris)

Tags

language:idsize_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usconversationalroleplaycustom

README current version from Hugging Face

configs:

  • config_name: default
    data_files:
    • split: train
      path: nona-roleplay-Alpaca-Indo-train.jsonl
    • split: validation
      path: nona-roleplay-Alpaca-Indo-validation.jsonl

tags:

  • conversational
  • roleplay
  • custom
    language:
  • id
    size_categories:
  • 10K-100K

Nona Roleplay Alpaca Indo Dataset

Dataset hasil augmentasi dari podsni/Jenna-50K-Alpaca-Uncensored-indonesia yang telah diformat ulang menjadi gaya percakapan/roleplay kasual Indonesia dengan struktur kolom datar (system, user, assistant).

Pembagian Data (Dataset Split):

  • Train (train): 90% data ({len(train_data):,} baris)
  • Validation (validation): 10% data ({len(val_data):,} baris)

README history 14 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. 2026-10-02Upload nona-roleplay-Alpaca-Indo-validation.jsonl with huggingface_hub174c97d697 B
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  2. 2026-10-02Upload nona-roleplay-Alpaca-Indo-train.jsonl with huggingface_hub7f7b47e697 B
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  3. 2026-10-02Upload nona-roleplay-Alpaca-Indo-validation.jsonl with huggingface_huba94e38a697 B
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  4. 2026-10-02Upload nona-roleplay-Alpaca-Indo-train.jsonl with huggingface_hub62e802b697 B
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  5. 2026-10-02Upload README.md with huggingface_hubdf252e8697 B
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  6. 2026-10-02Upload nona-roleplay-Alpaca-Indo-messages.jsonl with huggingface_hubb4d1c4c461 B
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  7. 2026-10-02Upload README.md with huggingface_hub85af9c1461 B
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  8. 2026-10-02Upload nona-roleplay-Alpaca-Indo-messages.jsonl with huggingface_hubc6da403471 B
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  9. 2026-10-02Upload nona-roleplay-Alpaca-Indo-messages.jsonl with huggingface_hub42c10a9471 B
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  10. 2026-10-02Upload README.md with huggingface_hub9aa0202471 B
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  11. 2026-10-02Upload nona-roleplay-Alpaca-Indo-messages.jsonl with huggingface_hub0c07ac50 B
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  12. 2026-10-02Create README.md9af166e0 B
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  13. 2026-10-02Upload nona-roleplay-Alpaca-Indo-messages.jsonl with huggingface_hub5a6c2780 B
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  14. 2026-10-02initial commite9d7ceb0 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. 2026-10-03[bot] Conversion to Parquetopen1 💬#1
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Read further

Community best practices (data hygiene)
Rules for what belongs in a training mix and what does not.
M6 - Uncensored fine-tuning
DPO/ORPO from scratch. The Hartford dolphin lineage.
The politics of dataset curation
The curatorial choices behind Dolphin, Wizard, and the uncensored tradition.
Non-English abliteration communities
How non-English producers assemble uncensored fine-tuning corpora.

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("xvevx/nona-roleplay-Alpaca-Indo-messages")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="xvevx/nona-roleplay-Alpaca-Indo-messages", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/xvevx/nona-roleplay-Alpaca-Indo-messages
Browse repository on Hugging Face ->
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