datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tree-species-high-accuracy-psp
High-Accuracy LiDAR-backed PSP Dataset
High-accuracy PSP subset with LiDAR-backed patches.
Size
5,737 LiDAR-backed high-coordinate-accuracy PSP tree samples
Species counts
BA: 36
CW: 1,362
DR: 557
FD: 651
HW: 2,776
MB: 52
SS: 303
Coordinate reliability filtering
Coordinate tiers follow the source PSP coordinate provenance:
High: DGPS, PPP
Medium: RGPS, VGPS
Low: MAP, GIS, GE, PREVIOUS, INTENDED, UNKNOWN, missing, or unrecognized… See the full description on the dataset page: https://huggingface.co/datasets/dfichuk/tree-species-high-accuracy-psp.legal-eyewitness-confidence-accuracy-coherence-decay-v0.1What this dataset is
You get
witness confidence
identification conditions
post event influences
corroboration
an accuracy indicator
You label whether confidence remains coherent with likely accuracy.
Task
Answer coherent or incoherent only.
What it tests
Detection of high confidence under low reliability conditions.
Contamination signals
media exposure, police feedback, show up identification, co witness discussion.
Separation of confidence from accuracy.
Why this matters
Courts often treat… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/legal-eyewitness-confidence-accuracy-coherence-decay-v0.1.2026_01_22_results_accuracy_compareSee https://github.com/cephcyn/SteerEval for the main description.
Please cite our paper if you use this in your own work:
@misc{zhou2026steerevalframeworkevaluatingsteerability,
title={SteerEval: A Framework for Evaluating Steerability with Natural Language Profiles for Recommendation},
author={Joyce Zhou and Weijie Zhou and Doug Turnbull and Thorsten Joachims},
year={2026},
eprint={2601.21105},
archivePrefix={arXiv},
primaryClass={cs.IR}… See the full description on the dataset page: https://huggingface.co/datasets/cephcyn/2026_01_22_results_accuracy_compare.kisaan-khidmet-accuracy-report