datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TinyStories-tokenized-Llama-3.2TinyStories dataset tokenized with Llama-3.2
Useful for accelerated training and testing of sparse autoencoders
Context window: 128, not shuffled
For first layer activations cache with Llama-3.2-1B, see GulkoA/TinyStories-Llama-3.2-1B-cache
llama3.2-3b-ultrafeedback-armorm-binarizedThis repository is associated with the paper Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model.
Code: https://github.com/DtYXs/Pre-DPO
llama3.2-java-codegen-90sft-10meta-claude-v1
LLaMA 3.2 Java Code Generation Dataset (90% SFT, 10% Meta Annotated with Claude)
This dataset contains 100,000 examples for Java method generation based on natural language instructions. It is built from the CodeXGLUE text-to-code dataset and designed to support both pure supervised fine-tuning (SFT) and reflection-based meta-learning approaches using Claude 4 Sonnet as the critique model.
🚀 Trained Models
Two models have been trained on this dataset:
SFT Model:… See the full description on the dataset page: https://huggingface.co/datasets/Naholav/llama3.2-java-codegen-90sft-10meta-claude-v1.GSM8K-Aug-Llama-3.2-1B-Instruct-Correct-CoT
Verified self-generated GSM8K reasoning
64 independently sampled completions are generated per prepared question.
Final answers are checked against the source answer. Among complete, correctly
formatted correct completions whose CoT passes the final-result-statement and
combined length checks, one sample is selected uniformly at random using a
reproducible per-question seed. CoT length does not rank eligible samples.
The final result belongs
in the separate final-answer line of… See the full description on the dataset page: https://huggingface.co/datasets/hanseungwook/GSM8K-Aug-Llama-3.2-1B-Instruct-Correct-CoT.ai-vs-human-meta-llama-Llama-3.2-1B-Instruct
AI vs Human dataset on the CNN Daily mails
Dataset Description
This dataset showcases pairs of truncated articles and their respective completions, crafted either by humans or an AI language model.
Each article was randomly truncated between 25% and 50% of its length.
The language model was then tasked with generating a completion that mirrored the characters count of the original human-written continuation.
Data Fields
'human': The original human-authored… See the full description on the dataset page: https://huggingface.co/datasets/zcamz/ai-vs-human-meta-llama-Llama-3.2-1B-Instruct.llama-3.2-1b-blind-spots
Llama-3.2-1B Blind Spots Dataset — 10 Diverse Failure Categories
Model Tested
meta-llama/Llama-3.2-1B — a base
(pretrained, not instruction-tuned) causal language model with 1.23B parameters,
trained on 9 trillion tokens with a knowledge cutoff of December 2023.
How the Model Was Loaded
The model was loaded on a free Google Colab T4 GPU using Hugging Face Transformers:
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
MODEL_ID =… See the full description on the dataset page: https://huggingface.co/datasets/Aansh123/llama-3.2-1b-blind-spots.TinyStories-Llama-3.2-1B-cache-100kTinyStories dataset first layer activations by Llama-3.2-1B
Useful for accelerated training and testing of sparse autoencoders hooked onto the first layer
Context size: 128 tokens, batch size: 4 prompts, limited to 100k input tokens
For tokenized dataset before activation caching, see GulkoA/TinyStories-tokenized-Llama-3.2
Llama-3.2-Taiwan-Identity
Dataset Card for Llama-3.2-Taiwan-Identity
本資料集是為了 lianghsun/Llama-3.2-Taiwan-3B 與 lianghsun/Llama-3.2-Taiwan-3B-Instruct 設計的「自我認知（self-identity）」訓練資料，協助模型在被問及自身定位、訓練資料時序、能力範圍等問題時，能以一致、明確的繁體中文回答。
Dataset Details
Dataset Description
Llama-3.2-Taiwan-Identity 由若干組「種子提示（seed prompt）」延伸而成。每筆樣本紀錄一個具體的事實陳述（例如：模型是以繁體中文為主、知識截止時間、是否為指令微調版本等），用以在指令微調或 DPO 階段強化模型的自我認知。資料規模刻意保持精簡，目的是作為 identity sub-mix 與其他大型對話語料一起混訓，避免淹沒在通用 instruction 資料中。
Curated by: Huang Liang Hsun… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/Llama-3.2-Taiwan-Identity.