datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
scotland-bus-reliability-2026uk-vehicle-reliability-dataset
CarHunch UK Vehicle Reliability Dataset — Volvo evaluation sample
Cohort-level UK vehicle reliability statistics derived from DVSA MOT test records: first-time
pass rates, defect patterns, a severity taxonomy, mileage-band behaviour and survival curves at
make × model × manufacture year × fuel type.
This is a free evaluation sample covering Volvo only. The full UK bundle covers every make in
the MOT record.
Aggregates only. No registration marks, no VINs, no keeper or owner… See the full description on the dataset page: https://huggingface.co/datasets/DonSimpson/uk-vehicle-reliability-dataset.llm-agent-harness-reliability-next-prime
LLM Next Prime Harness Dataset
This dataset contains raw observations from an experiment studying how the agent harness affects reliability when an LLM has access to a deterministic tool.
The task is deliberately simple and objectively verifiable:
What is the smallest prime number that is strictly greater than n?
The deterministic tool computes the correct answer with a local Python next_prime(n) function. The experiment asks whether failures come from the model, the provider… See the full description on the dataset page: https://huggingface.co/datasets/hoololi/llm-agent-harness-reliability-next-prime.agent-reliability-corpuseval_reliability_act_pick_place_tapeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so100_follower",
"total_episodes": 20,
"total_frames": 4998,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/aadarshram/eval_reliability_act_pick_place_tape.model-reliability-benchmark
Model Reliability Benchmark
Neural network benchmark data for ML research.
Usage
from datasets import load_dataset
dataset = load_dataset("nn-stability-research/model-reliability-benchmark")
df = dataset["train"].to_pandas()
Or use the provided loader:
from loader import load_data
df = load_data()
Schema
Metrics
Column
Type
Description
activation_diversity
float
Normalized metric
gradient_consistency
float
Normalized metric… See the full description on the dataset page: https://huggingface.co/datasets/nn-stability-research/model-reliability-benchmark.