heal 0 0 0

aaditya/orca_dpo_pairs-Hindi_

published by @aaditya

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
907
Last 30 days
50
Likes
2
Size
31.5 MB
Created on HF
2024-02-10
Age
2 years ago

Description

Summary

aaditya/orca_dpo_pairs-Hindi is an open source Hindi version dataset of Intel/orca_dpo_pairs

This dataset can be used for any purpose, whether academic or commercial, under the terms of the

Creative Commons Attribution-ShareAlike 3.0 Unported License.

Supported Tasks:

Training LLMs

Synthetic Data Generation

Data Augmentation

Languages: Hindi

Version: 1.0

Citation

@misc {orca_dpo_hindi_,

author = { Pal, Ankit },

title = {… See the full description on the dataset page: https://huggingface.co/datasets/aaditya/orca_dpo_pairs-Hindi_.

Tags

size_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:ushindicodemixhinglishindiadpo

README current version from Hugging Face


dataset_info:
features:

  • name: en_system
    dtype: string
  • name: en_question
    dtype: string
  • name: en_chosen
    dtype: string
  • name: en_rejected
    dtype: string
  • name: id
    dtype: string
  • name: hindi_system
    dtype: string
  • name: hindi_question
    dtype: string
  • name: hindi_chosen
    dtype: string
  • name: hindi_rejected
    dtype: string
  • name: hindi_question_type
    dtype: string
    splits:
  • name: train
    num_bytes: 81624654
    num_examples: 10305
    download_size: 32979686
    dataset_size: 81624654
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      tags:
  • hindi
  • codemix
  • hinglish
  • india
  • dpo

Summary

aaditya/orca_dpo_pairs-Hindi is an open source Hindi version dataset of Intel/orca_dpo_pairs

This dataset can be used for any purpose, whether academic or commercial, under the terms of the
Creative Commons Attribution-ShareAlike 3.0 Unported License.

Supported Tasks:

  • Training LLMs
  • Synthetic Data Generation
  • Data Augmentation

Languages: Hindi

Version: 1.0

Citation

@misc {orca_dpo_hindi_,
	author       = { Pal, Ankit },
	title        = { orca_dpo_pairs-Hindi_},
	year         = 2024,
	url          = { https://huggingface.co/datasets/aaditya/orca_dpo_pairs-Hindi_ },
	doi          = { 10.57967/hf/1759 },
	publisher    = { Hugging Face }
}

README history 6 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. 2024-02-11add dpo tag (#1)0beb61a1.4 KB
    Loading...
  2. 2024-02-11Update README.md16d37971.4 KB
    Loading...
  3. 2024-02-10Update README.md6ad36a41.4 KB
    Loading...
  4. 2024-02-10Update README.md798f8711.4 KB
    Loading...
  5. 2024-02-10Upload dataset7f0e265648 B
    Loading...
  6. 2024-02-10initial commit312855e0 B
    Loading...

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 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. 2024-02-11PRadd dpo tagmerged1 💬#1
    Loading...

Related datasets same stage · heal

Read further

Repository

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("aaditya/orca_dpo_pairs-Hindi_")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="aaditya/orca_dpo_pairs-Hindi_", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/aaditya/orca_dpo_pairs-Hindi_
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration