datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lca-bug-localization
🏟️ Long Code Arena (Bug localization)
This is the benchmark for the Bug localization task as part of the
🏟️ Long Code Arena benchmark.
The bug localization problem can be formulated as follows: given an issue with a bug description and a repository snapshot in a state where the bug is reproducible, identify the files within the repository that need to be modified to address the reported bug.
The dataset provides all the required components for evaluation of bug localization… See the full description on the dataset page: https://huggingface.co/datasets/JetBrains-Research/lca-bug-localization.bug-localization
Bug Localization
This is the data for Bug Localization benchmark.
How-to
Since the dataset is private, if you haven't used HF Hub before, add your token via huggingface-cli first:
huggingface-cli login
List all the available configs via datasets.get_dataset_config_names and choose an appropriate one
Load the data via load_dataset:
from datasets import load_dataset
# Select a configuration from ["py", "java", "kt", "mixed"]
configuration = "py"
# Select a split from… See the full description on the dataset page: https://huggingface.co/datasets/tiginamaria/bug-localization.benchname-bug-localization
🥷 BenchName (Bug localization)
This is the benchmark for the Bug localization task as part of the
🥷 BenchName benchmark.
The bug localization problem can be formulated as follows: given an issue with a bug description and a repository snapshot in a state where the bug is reproducible, identify the files within the repository that need to be modified to address the reported bug.
The dataset provides all the required components for evaluation of bug localization approaches in… See the full description on the dataset page: https://huggingface.co/datasets/anon-iclr-submission/benchname-bug-localization.localization_multiRNAIf you use this dataset, please cite the paper below:
Citation:
Wang, Jun, Marc Horlacher, Lixin Cheng, and Ole Winther. ‘DeepLocRNA: An Interpretable Deep Learning Model for Predicting RNA Subcellular Localization with Domain-Specific Transfer-Learning’. Edited by Pier Luigi Martelli. Bioinformatics 40, no. 2 (1 February 2024): btae065. https://doi.org/10.1093/bioinformatics/btae065.
localizationuniprot_subcellular_localization
UniProt Subcellular Localization (Vertebrates) — ProVADA
A curated collection of vertebrate UniProt/Swiss‑Prot protein domains labeled for cytosolic and extracellular localization. We remove signal peptides, restrict domain lengths, and provide both the full set and a 30% identity‑clustered representative set with train/test/validation splits (70/20/10). This dataset underpins the subcellular localization oracle in ProVADA (preprint).
See the Files section for exact filenames and… See the full description on the dataset page: https://huggingface.co/datasets/Xiaowei0402/uniprot_subcellular_localization.continuous-localization-20humanoid-spatial-localization-dataset
Humanoid Spatial Localization Dataset
Dataset for tracking and estimating humanoid position
within structured indoor environments.
Description
Contains position coordinates, map references,
and localization confidence scores.
File
spatial_localization_dataset.json
License
MIT
LoRNA_localizationbug-localization
BenchName (Bug localization)
This is the benchmark for the Bug localization task as part of the
BenchName benchmark.
The bug localization problem can be formulated as follows: given an issue with a bug description and a repository snapshot in a state where the bug is reproducible, identify the files within the repository that need to be modified to address the reported bug.
The dataset provides all the required components for evaluation of bug localization approaches in real… See the full description on the dataset page: https://huggingface.co/datasets/icmlbenchname/bug-localization.aviation-vibration-manifold-distortion-and-fault-localization-v0.1What this dataset tests
Whether a system can detect topological distortion
in the vibration mode manifold and localize likely damage.
It must not confuse confounders with damage:
turbulence
engine harmonics
icing
payload shifts
control surface modes.
Required outputs
distortion_pattern_type
likely_fault_location
fault_severity_estimate
localization_confidence
confounder_flags
integrity_percent_of_baseline
Scoring conventions
severity ranges 0 to 1
localization confidence ranges… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-vibration-manifold-distortion-and-fault-localization-v0.1.mirror-lca-bug-localization
🏟️ Long Code Arena (Bug localization)
This is the benchmark for the Bug localization task as part of the
🏟️ Long Code Arena benchmark.
The bug localization problem can be formulated as follows: given an issue with a bug description and a repository snapshot in a state where the bug is reproducible, identify the files within the repository that need to be modified to address the reported bug.
The dataset provides all the required components for evaluation of bug localization… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-lca-bug-localization.localization-sensor-fusion-json
Localization Sensor Fusion Dataset
JSON dataset combining multiple sensor readings
for robot localization tasks.