datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
crowd-code-dataset-1.0
Install crowd-code 2.0 to help crowd-source the next-generation coding dataset.
crowd-code-dataset-1.0 is an anonymized dataset of fine-grained IDE interactions crowd-sourced across 25 people over the last 6 months using crowd-code 1.0, a VS Code/Cursor extension capturing large parts of the software engineering workflow.
The dataset captures real research engineering workflows (character-level edits, navigation, terminal use, iterative… See the full description on the dataset page: https://huggingface.co/datasets/p-doom/crowd-code-dataset-1.0.klue-mrc-bm25crowd-code-dataset-0.1The crowd-code-dataset-0.1 is a raw, unfiltered dataset of fine-grained IDE interactions collected during the development of Jasmine using crowd-code, a VS Code/Cursor extension capturing large parts of the software engineering workflow.
The dataset captures real research engineering workflows (character-level edits, navigation, terminal use, iterative debugging). The crowd-code-dataset-0.1 only includes data from the Jasmine authors. We are actively working on cleaning and curating the full… See the full description on the dataset page: https://huggingface.co/datasets/p-doom/crowd-code-dataset-0.1.hate_speech_labeledmodern_music_reDatasets for Relation Extraction TaskSource from Wikipedia (CC-BY-2.0)Contributors : Doohae Jung, Hyesu Kim, Bosung Kim, Isaac Park, Miwon Jeon, Dagon Lee, Jihoo Kim
PETraPETra
Description:
We introduce PETra, the first multilingual corpus and detection framework for pragmatic explicitation. The corpus consists of 3,000 sentence pairs from TED-Multi and Europarl, covers twelve language pairs, and includes additions such as entity descriptions, measurement conversions, and translator remarks. We identify candidate explicitation cases through null alignments and refined using active learning with human annotation.
Citation:
If you use this dataset, please cite:… See the full description on the dataset page: https://huggingface.co/datasets/Doosme/PETra.doorkey-semantic-reasoning-labels
GPT-OSS-20B DoorKey semantic reasoning labels
This dataset contains automatic sentence-level semantic-function annotations
for 7,038 reasoning sentences produced by openai/gpt-oss-20b on 46 fixed
DoorKey environment states. Each target sentence is paired with its preceding
reasoning context and assigned one or more human-readable discourse labels.
The annotation run produced 7,036 valid rows and two schema failures. These are
model-generated exploratory annotations, not human… See the full description on the dataset page: https://huggingface.co/datasets/project-telos/doorkey-semantic-reasoning-labels.marcopolo-v2-passageTop 20 hits for queries from training data in "MS-MARCO v2 passage" by Lucene Searcher (using pyserini)hits@20 0.1957See also : https://github.com/castorini/pyserini/blob/master/docs/prebuilt-indexes.mdFor java11 installation in linux : https://stackoverflow.com/questions/52504825/how-to-install-jdk-11-under-ubuntu
SAE-door-abstracts
SAE-door-abstracts
This dataset includes ~1,550 texts of abstracts of technical papers and journal articles from the SAE Mobilus database that cover the topics of automotive or aerospace doors, noise, acoustics, and vibrations.
humanoid-door-opening-manipulation-dataset-v1Dataset for door handle manipulation and opening control.
Description
Handle rotation, grip force, and resistance signals mapped to manipulation actions.
Task Description
Teaches humanoid robots to approach, grasp, and pull doors safely using arm and hand coordination.
humanoid-doorway-passing-dataset-v1Dataset for safe doorway alignment and passing.
Description
Door width and body alignment signals mapped to navigation adjustment actions.
Task Description
Teaches humanoid robots to align their body and safely pass through narrow doorways without collisions.
door_inner_with_SAEhumanoid-door-opening-dataset-v1Dataset for opening doors using handle manipulation.
Description
Handle position, grip force, and hinge resistance signals mapped to door opening actions.
Task Description
Teaches humanoid robots how to grasp, pull, and open doors safely while maintaining balance.
closure_system_door_innerdoor-olfactory-responses
DoOR Olfactory Receptor Responses (Processed)
A processed odor × olfactory receptor matrix derived from the
Database of Odorant Responses (DoOR) v2.0,
prepared for training the
FlyWire Olfactory SNN.
Dataset description
Each row is an odorant (identified by InChIKey or name). Each column is an
olfactory receptor gene (Or10a, Or13a, … Or9a — 52 receptors total). Cell values
represent the median response magnitude across published studies compiled by DoOR.… See the full description on the dataset page: https://huggingface.co/datasets/Vick-MIRE/door-olfactory-responses.door-olfactory-responses
DoOR Olfactory Receptor Responses (Processed)
A processed odor × olfactory receptor matrix derived from the
Database of Odorant Responses (DoOR) v2.0,
prepared for training the
FlyWire Olfactory SNN.
Dataset description
Each row is an odorant (identified by InChIKey or name). Each column is an
olfactory receptor gene (Or10a, Or13a, … Or9a — 52 receptors total). Cell values
represent the median response magnitude across published studies compiled by DoOR.… See the full description on the dataset page: https://huggingface.co/datasets/MIRE-org/door-olfactory-responses.training_data_20240304viet-robot-door-events
viet-robot-door-events
A tiny dataset of door-related events observed by a home robot.
Columns:
id: row id
door_id: identifier of the door
event_type: opened, closed, locked, unlocked
timestamp_local: local timestamp string
source: who triggered the event (user, robot, unknown)
note: short English note
Synthetic and for demo only.
License
MIT