datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mhlc-training-qwen3vl-qwen3_vl_2b_thinking_hard_mixed_sources_120k
Multi Head Latent Control Training Data - Qwen3-VL 2B Thinking hard Mixed Sources 120k
Dataset Description
This repository contains verified training data for the Multi Head Latent Control paper release. It is part of the Multi Head Latent Control training data Hugging Face collection.
Paper
https://arxiv.org/abs/2607.14277
Code
https://github.com/Amirhosein-gh98/Multi-Head-Latent-Control
Dataset Summary
Field… See the full description on the dataset page: https://huggingface.co/datasets/AmirhoseinGH/mhlc-training-qwen3vl-qwen3_vl_2b_thinking_hard_mixed_sources_120k.mhlc-training-qwen3vl-qwen3_vl_2b_instruct_hard_mixed_sources_120k
Multi Head Latent Control Training Data - Qwen3-VL 2B Instruct hard Mixed Sources 120k
Dataset Description
This repository contains verified training data for the Multi Head Latent Control paper release. It is part of the Multi Head Latent Control training data Hugging Face collection.
Paper
https://arxiv.org/abs/2607.14277
Code
https://github.com/Amirhosein-gh98/Multi-Head-Latent-Control
Dataset Summary
Field… See the full description on the dataset page: https://huggingface.co/datasets/AmirhoseinGH/mhlc-training-qwen3vl-qwen3_vl_2b_instruct_hard_mixed_sources_120k.a2b-eval-results
50
🗺️ Position in I-ARIF Governance Stack
This dataset is part of the arifOS constitutional governance training-and-evaluation pipeline — a closed-loop alignment substrate.
#
Dataset
Role
Downloads
License
1
AAA
Constitutional substrate — doctrine + gold eval
161
AGPL-3.0
2
BBB
Baseline behavior benchmark — ILMU API audit
247
CC-BY-4.0
3
CCC
Alignment contrast corpus — ILMU vs kernel
193
CC-BY-4.0
4
DDD
Register-sensitivity probe — Penang loghat… See the full description on the dataset page: https://huggingface.co/datasets/ariffazil/a2b-eval-results.gemma_2b_outputs
Gemma 2B Green LLM Experiment Outputs
This dataset repository contains experiment artifacts for Gemma 2B green-LLM runs, including LoRA adapter checkpoints, metrics, predictions, carbon logs, and figures.
Contents
checkpoints/: LoRA adapter checkpoints for CE baseline and joint-loss variants.
metrics/: training histories, SQuAD and MMLU summaries, prediction CSVs, calibration tables, and surrogate weights.
logs/: run histories and carbon summary JSON files.
carbon/:… See the full description on the dataset page: https://huggingface.co/datasets/PhotonTJ/gemma_2b_outputs.youtu-llm-2b-base-blind-spots
Youtu-LLM-2B-Base Blind Spots Evaluation Dataset
This dataset contains 75 evaluation prompts used to analyze the failure modes of tencent/Youtu-LLM-2B-Base,
a 1.96B parameter dense base language model released on December 31, 2025. Each row includes the input prompt, the expected answer, and the model’s
generated output obtained during inference on a Google Colab T4 GPU.
The prompts span 13 broad categories including arithmetic, logic, multilingual generation, instruction following… See the full description on the dataset page: https://huggingface.co/datasets/k-imtz/youtu-llm-2b-base-blind-spots.gemma-2-2b-blind-spots
Gemma-2-2B Base Model Blind Spots Dataset
Dataset Description
This dataset contains 10 carefully curated examples that highlight specific blind spots and failure modes of the google/gemma-2-2b base model. The examples span diverse categories of reasoning and computation where the base model demonstrates systematic weaknesses.
Model Tested: google/gemma-2-2b
Type: Base model (pre-trained, not instruction-tuned)
Parameters: 2.6B
Release Date: 2024
Methodology… See the full description on the dataset page: https://huggingface.co/datasets/SumaiyaMifra/gemma-2-2b-blind-spots.PRISM-K48-Gemma4.E2B
CompactAI-Prism
High-Density Distillation Dataset for Small Model English Language Acquisition
License: MITTop-K: 48 (Current release: K48)Source Model: Gemma4 E2B
Primary Objective: Teach small-scale AI models to generate fluent, coherent English text through probability-aware distillation. Or at least help them sound less like they learned English from a fortune cookie.
Overview
CompactAI-Prism is a specialized training dataset designed to… See the full description on the dataset page: https://huggingface.co/datasets/Glint-Research/PRISM-K48-Gemma4.E2B.gemma4-e2b-generated-instructions-demo-v1
Unsloth Dataset Workflow Test
Overview
This dataset is a workflow validation dataset generated using Unsloth Studio.
It demonstrates the complete pipeline:
Source dataset
AI-generated instructions
Export to Parquet
Upload to Hugging Face
Dataset viewer validation
This repository is intended for testing the publication workflow before creating a larger production-quality dataset.
Dataset Structure
Columns
output
generated_instruction… See the full description on the dataset page: https://huggingface.co/datasets/cloudcastnepal-ai-labs/gemma4-e2b-generated-instructions-demo-v1.longcode-50k-t5gemma-2b-inference
Long Code 50k
50k code samples with long context for T5-Gemma 2B inference
Dataset Details
Samples: 50,000
Model: T5-Gemma 2B (google/t5gemma-2b-2b-prefixlm-it)
Format: JSON with teacher logits for knowledge distillation
Structure
Each sample contains:
encoder_input_ids: Long context input tokens (~52k tokens avg)
decoder_input_ids: Output sequence tokens (~296 tokens avg)
reasoning_mask: Mask for reasoning tokens
teacher_token_ids: Teacher model's predicted… See the full description on the dataset page: https://huggingface.co/datasets/agu18dec/longcode-50k-t5gemma-2b-inference.longhealth-100k-t5gemma-2b-inference
Long Health 100k
100k medical/health samples with long context for T5-Gemma 2B inference
Dataset Details
Samples: 100,032
Model: T5-Gemma 2B (google/t5gemma-2b-2b-prefixlm-it)
Format: JSON with teacher logits for knowledge distillation
Structure
Each sample contains:
encoder_input_ids: Long context input tokens (~52k tokens avg)
decoder_input_ids: Output sequence tokens (~296 tokens avg)
reasoning_mask: Mask for reasoning tokens
teacher_token_ids: Teacher… See the full description on the dataset page: https://huggingface.co/datasets/agu18dec/longhealth-100k-t5gemma-2b-inference.SetTheClock-DPO-Qwen3-2B
SetTheClock-DPO
Preference dataset formatted for DPO training.
HuggingFace repository: MSc-Thesis/SetTheClock-DPO-Qwen3-2B