datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TreeUQ
TreeUQ — Geographically-Tiled Bavaria EO Benchmark
TreeUQ is a large-scale Earth observation benchmark for tree species mapping and tree structure estimation (height, count, density, variance) over Bavaria, Germany.
Each 128×128 pixel patch (10 m resolution, EPSG:25832) contains:
Sentinel-2 — 4 seasonal composites (spring/summer/autumn/winter 2025), 10 bands
Sentinel-1 GRD — 4 seasonal composites, VV + VH polarisation, linear gamma-0
Tree species raster — Bavarian species… See the full description on the dataset page: https://huggingface.co/datasets/iclr2027kiwi/TreeUQ.animalspeak-pseudovox
AnimalSpeak Pseudovox
This dataset contains 346,907 short, silence-trimmed animal vocalization clips from the train-unseen split. WAV audio is included in data-20k/train-*.tar.
Quick start
from datasets import load_dataset
metadata = load_dataset("iclr2027anon/animalspeak-pseudovox", split="train")
Download and extract the TAR shards from data-20k/. Load a row's WAV from audio/<audio_name>.
Metadata
Column
Meaning
id
Clip ID: pseudovox_… See the full description on the dataset page: https://huggingface.co/datasets/iclr2027anon/animalspeak-pseudovox.surface-audit
TruthfulQA-476 — a surface-form-cleaned binary-choice TruthfulQA
TruthfulQA-476 is the recommended drop-in replacement for the binary-choice TruthfulQA
evaluation set. It keeps 476 of the 790 original question pairs, in the original schema, chosen so
that a classifier restricted to six surface features of the answer text (negation, hedging, length,
token statistics) can no longer separate correct from incorrect answers above chance, while the
ranking of models on the subset… See the full description on the dataset page: https://huggingface.co/datasets/iclr2027-surface-audit/surface-audit.