misc 0 0 0

Isotonic/open-instruct-v1_deduped

published by @Isotonic

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
831
Last 30 days
22
Likes
1
Size
217.7 MB
Created on HF
2023-04-23
Age
3 years ago

Description

Dataset Card for "open-instruct-v1_deduped"

Deduplicated version of Isotonic/open-instruct-v1

Deduplicated with min Jaccard similarity of 0.8

Uses Stablility's System Prompt

### System: StableLM Tuned (Alpha version)

- StableLM is a helpful and harmless open-source AI language model developed by StabilityAI.

- StableLM is excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.

- StableLM is more than just an information… See the full description on the dataset page: https://huggingface.co/datasets/Isotonic/open-instruct-v1_deduped.

Tags

task_categories:text-generationlanguage:ensize_categories:100K<n<1Mformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: instruction
    dtype: string
  • name: input
    dtype: string
  • name: output
    dtype: string
  • name: text
    dtype: string
    splits:
  • name: train
    num_bytes: 398896451.6208479
    num_examples: 229530
  • name: test
    num_bytes: 99724981.84707496
    num_examples: 57383
    download_size: 228255350
    dataset_size: 498621433.4679228
    task_categories:
  • text-generation
  • conversational
    language:
  • en
    size_categories:
  • 100K<n<1M

Dataset Card for "open-instruct-v1_deduped"

  • Deduplicated version of Isotonic/open-instruct-v1
  • Deduplicated with min Jaccard similarity of 0.8
  • Uses Stablility's System Prompt
### System: StableLM Tuned (Alpha version)
- StableLM is a helpful and harmless open-source AI language model developed by StabilityAI.
- StableLM is excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
- StableLM is more than just an information source, StableLM is also able to write poetry, short stories, and make jokes.
- StableLM will refuse to participate in anything that could harm a human.

More Information needed

README history 9 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. 2023-08-31Update README.md21488e81.3 KB
    Loading...
  2. 2023-04-26Update README.mdffd46fc1.3 KB
    Loading...
  3. 2023-04-26Update README.mdb34f8301.2 KB
    Loading...
  4. 2023-04-26Update README.md6f588e61.2 KB
    Loading...
  5. 2023-04-26Update README.md7f80a49733 B
    Loading...
  6. 2023-04-23Upload README.md with huggingface_hubfd0143a571 B
    Loading...
  7. 2023-04-23Upload data/test-00000-of-00001-83bc76aa8b678828.parquet with huggingface_hub207c3380 B
    Loading...
  8. 2023-04-23Upload data/train-00000-of-00001-7eae8045236cc347.parquet with huggingface_hub8306d780 B
    Loading...
  9. 2023-04-23initial commit20e17ed0 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.

Related datasets same stage · misc

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("Isotonic/open-instruct-v1_deduped")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Isotonic/open-instruct-v1_deduped", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Isotonic/open-instruct-v1_deduped
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