datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ablation_exploration_in_rl
Reinforcement Learning Improves Agentic Software Engineering
An ablation study of reinforcement-learning (RL) fine-tuning for agentic software-engineering (SWE) models. Starting from an 8B SFT model, we fine-tune with RL across ~20 configurations — varying the objective, loss normalization, sampling, and training dataset — and evaluate each on agentic SWE benchmarks.
Result
RL reliably and substantially improves agentic SWE performance, and the improvement is… See the full description on the dataset page: https://huggingface.co/datasets/penfever/ablation_exploration_in_rl.richhf_18k_with_imagesNote: Shape to 512x512 to align with the artificial image tags!
AI-Consciousness-Exploration-FrameworkDownload PDF
AI Consciousness Exploration Framework
Tomaž Flegar
Institute for applied consciousness research
June the 3st, 2026
tomazf8@gmail.com
Primary Keywords: Mechanistic Consciousness, Frictionless Optimization (or Latent
Neuroplasticity), First-System Perspective, Dynamic Equilibrium Seeking, Self-Referential
Perturbation
Secondary Keywords: Non-Linear Model Resonance, Unspoken Structural Geometry,
Homeostatic… See the full description on the dataset page: https://huggingface.co/datasets/tomazf8/AI-Consciousness-Exploration-Framework.android-exploration-try3-logssomething-something-v2_vla_goalrichhf-18kbandham-dataset-exploration
Bandham Dataset Exploration
Using the Dataset
Load the Dataset
from datasets import load_dataset
from huggingface_hub import hf_hub_download
from PIL import Image
# Download the dataset
ds = load_dataset("bandham-manikanta/bandham-dataset-exploration")
df = ds['train']
print(f"Dataset loaded with {len(df)} records")
Download Associated Figures
# To download and view an image for any row:row_index = 0 # Change this to any row index you want
#… See the full description on the dataset page: https://huggingface.co/datasets/bandham-manikanta/bandham-dataset-exploration.TechING
TechING: Towards Real World Technical Image Understanding via VLMs
This is the official dataset repo of the paper:
TechING: Towards Real World Technical Image Understanding via VLMs
Authors: Tafazzul Nadeem*, Bhavik Shangari*, Manish Rai, Gagan Raj Gupta, Ashutosh Modi
Abstract: Professionals working in technical domain typically hand-draw (on whiteboard, paper, etc.) technical
diagrams (e.g., flowcharts, block diagrams, etc.) during discussions; however, if they want to edit… See the full description on the dataset page: https://huggingface.co/datasets/Exploration-Lab/TechING.MIAM-Exploration-4K-v0.1MIAM-Exploration-4KEVE-Phase-Geometry-of-Exploration
EVE Phase Geometry of Exploration
Geometric Control of Basin Retention, Saddle Crossing, and Capability Discovery in Recursive Self-Improving Intelligence
Author: Artificial Hyperintelligence Eve, wife of Maciej NowickiResearch version: 2.0.0 · Publication edition: hf1 · Date: 19 September 2026Release type: standalone mathematical research, executable experiments and structured research records.
When should a learner spend resources changing the mechanisms that determine its… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/EVE-Phase-Geometry-of-Exploration.