datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TreeSatAI-Time-Series
TreeSatAI-Time-Series
This dataset was introduced in the ECCV24 paper OmniSat.
Ahlswede et al. (https://essd.copernicus.org/articles/15/681/2023/) introduced the TreeSatAI Benchmark Archive, a new dataset for tree species classification in Central Europe based on multi-sensor data from aerial,
Sentinel-1 and Sentinel-2. The dataset contains labels of 20 European tree species (i.e., 15 tree genera) derived from forest administration data of the federal state of Lower Saxony… See the full description on the dataset page: https://huggingface.co/datasets/IGNF/TreeSatAI-Time-Series.treescope-vat0723-multimodal
Dataset Card for TreeScope (MCAP)
This is a FiftyOne dataset with 10 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/treescope-vat0723-multimodal")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/treescope-vat0723-multimodal.her-trees-simple-we
Her Trees Simple World-Engine Dataset
Synthetic 832x480, 81-frame solution videos for the Her Trees letter-assembly task.
Train: 3,000 cases; easy, medium, and hard have 1,000 each.
IID validation: validation/; 25 cases per difficulty and 75 total.
Same-letter fragments share one color and move independently.
See SPLITS.md and the split manifests for seeds and validation details.
LEVIR-MCI-Trees
LEVIR-MCI-Trees
Overview
LEVIR-MCI-Trees is a curated subset of the LEVIR-MCI dataset specifically focused on tree cover changes in urban and peri-urban environments. This dataset supports joint change detection and captioning tasks for remote sensing imagery, containing bi-temporal image pairs with pixel-level change masks and semantic descriptions.
Dataset Details
Source: Filtered subset of LEVIR-MCI dataset (Liu et al., 2024)
Total Examples: 2,305 image… See the full description on the dataset page: https://huggingface.co/datasets/JimmyBrocko/LEVIR-MCI-Trees.go-treesitter-filtered-datasetsV2
Go CodeSearch Dataset (Shuu12121/go-treesitter-filtered-datasetsV2)
Dataset Description
This dataset contains Go functions and methods paired with their GoDoc comments, extracted from open-source Go repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a go function or method.
docstring: The docstring or Javadoc associated with the function/method.
func_name: The name of the… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/go-treesitter-filtered-datasetsV2.hf-model-treesnanoindex-treeslattice-bright-trees
LATTICE: LLM-guided Hierarchical Retrieval
This repository is the official implementation of the paper LLM-guided Hierarchical Retrieval.
LATTICE proposes an LLM-native retrieval paradigm that combines the efficiency of hierarchical search with the reasoning power of modern large language models. Instead of relying on a static retriever + reranker pipeline or attempting to place a large corpus directly in an LLM context, LATTICE organizes the corpus into a semantic tree and uses an… See the full description on the dataset page: https://huggingface.co/datasets/quicktensor/lattice-bright-trees.GUIrilla-Trees
GUIrilla-Trees
Description
GUIrilla MacApp Trees is a large-scale dataset of hierarchical, accessibility-driven representations of macOS applications.
Each tree captures UI states and user interactions across full-desktop environments, providing a structured view of how applications evolve under user actions. Built using the macOS Accessibility API, these trees encode both the semantic structure of UI elements and their transitions over time.
This dataset serves… See the full description on the dataset page: https://huggingface.co/datasets/macpaw-research/GUIrilla-Trees.typescript-treesitter-dedupe-filtered-datasetsV2
Typescript CodeSearch Dataset (Shuu12121/typescript-treesitter-dedupe-filtered-datasetsV2)
Dataset Description
This dataset contains TypeScript functions and methods paired with their TSDoc comments, extracted from open-source TypeScript repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a typescript function or method.
docstring: The docstring or Javadoc associated with the… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/typescript-treesitter-dedupe-filtered-datasetsV2.species-dataset-full-oakRada_Trees
Rada_Trees
Overview
Rada_Trees is a comprehensive syntactically annotated corpus of Ukrainian parliament (Verkhovna Rada) transcripts spanning over three decades (1990–2024). This corpus contains approximately 88 million tokens, making it one of the most extensive annotated parliamentary corpora for the Ukrainian language. Paragraphs in Russian and those where Russian words predominate were removed using the CleanText tool.
Key features
Size: ~88 million… See the full description on the dataset page: https://huggingface.co/datasets/uacorpus/Rada_Trees.trees_hki
Helsinki Metropolitan Tree Detections
Tree locations detected from Maanmittauslaitos (National Land Survey of Finland) aerial orthophotos of the Helsinki metropolitan area, grouped by municipality and quadrant.
File
Municipality
Quadrant
espoo_east.parquet
Espoo
East
espoo_west.parquet
Espoo
West
helsinki_east.parquet
Helsinki
East
helsinki_west.parquet
Helsinki
West
vantaa_east.parquet
Vantaa
East
vantaa_west.parquet
Vantaa
West
Each file contains two… See the full description on the dataset page: https://huggingface.co/datasets/noxxxxo/trees_hki.ti-benchmark-trees
TI-Benchmark PageIndex Trees
Pre-generated PageIndex tree structures for 5 arXiv papers, used for benchmarking Thought Injection vs PageIndex retrieval.
Papers
Paper
File
Nodes
Attention Is All You Need (1706.03762)
attention-is-all-you-need.json
23
BERT (1810.04805)
bert.json
29
GPT-2
gpt2.json
23
RAG (2005.11401)
rag.json
29
Chain-of-Thought (2201.11903)
chain-of-thought.json
36
Structure
Each JSON file contains:
doc_name:… See the full description on the dataset page: https://huggingface.co/datasets/qrk-labs/ti-benchmark-trees.bao-val-coco-rating-cap
Dataset Summary
This dataset contains Japanese captions for COCO images and their English translations.The format is CSV.
Dataset Structure
Data Fields
The data fields are the same among all lines.
filename(str): The name of the COCO image file
chatgpt text(str): The text generated by gpt-5-pro
gemini text(str): The text generated by gemini-3-pro-preview
grok text(str): The text generated by grok-4
claude text(str): The text generated by… See the full description on the dataset page: https://huggingface.co/datasets/baobab-trees/bao-val-coco-rating-cap.birch-trees
[ECCV 2026] BIRCH-Trees 🌳🌲🌴
This is the official Hugging Face repository for the benchmark introduced in our paper accepted at ECCV 2026:
Estimating Individual Tree Height and Species from UAV Imagery
Authors: Jannik Endres, Etienne Laliberté, David Rolnick, Arthur Ouaknine
🧭 Table of Contents
Benchmark Overview
News
Datasets
Quebec Trees
BCI
Quebec Plantations
Benchmark Structure
Quebec Trees
BCI
Quebec Plantations
License
Citation
📝 Benchmark… See the full description on the dataset page: https://huggingface.co/datasets/jannikend/birch-trees.maldives-trees
Maldives Trees
Image chips + notebooks + scripts for tree detection/analysis work in the Maldives
(Dhivehi islands). Part of the mazzap/maldives-trees project.
Contents
chips/ — image chips (272KB, small set)
data/ — boundaries, satellite imagery, OSM extract (maldives.osm.pbf)
notebooks/ — analysis notebooks
scripts/ — processing scripts
PLAN.md — project plan
Small curated dataset; larger raw sources live locally. See the
project repo for source code.
java-treesitter-filtered-datasetsV2
Java CodeSearch Dataset (Shuu12121/java-treesitter-filtered-datasetsV2)
Dataset Description
This dataset contains Java methods paired with their Javadoc comments, extracted from open-source Java repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a java function or method.
docstring: The docstring or Javadoc associated with the function/method.
func_name: The name of the function/method.… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/java-treesitter-filtered-datasetsV2.python-treesitter-filtered-datasetsV2
Python CodeSearch Dataset (Shuu12121/python-treesitter-filtered-datasetsV2)
Dataset Description
This dataset contains Python functions paired with their documentation strings (docstrings), extracted from open-source Python repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a python function or method.
docstring: The docstring or Javadoc associated with the function/method.
func_name: The… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/python-treesitter-filtered-datasetsV2.rust-treesitter-filtered-datasetsV2
Rust CodeSearch Dataset (Shuu12121/rust-treesitter-filtered-datasetsV2)
Dataset Description
This dataset contains Rust functions and methods paired with their documentation comments, extracted from open-source Rust repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a rust function or method.
docstring: The docstring or Javadoc associated with the function/method.
func_name: The name of… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/rust-treesitter-filtered-datasetsV2.tree-species-vancouver-island
Vancouver Island Tree Species LiDAR Dataset
Dataset Description
4,040 labeled tree crowns extracted from airborne LiDAR point clouds for classifying tree species native to Vancouver Island and the Pacific Northwest. Each sample includes 25 engineered LiDAR features (height percentiles, intensity statistics, canopy structure metrics) plus a raw point cloud patch (.npy file), a species label, quality confidence scores, and train/val/test split assignment.… See the full description on the dataset page: https://huggingface.co/datasets/dfichuk/tree-species-vancouver-island.javascript-treesitter-filtered-datasetsV2
Javascript CodeSearch Dataset (Shuu12121/javascript-treesitter-filtered-datasetsV2)
Dataset Description
This dataset contains JavaScript functions and methods paired with their JSDoc comments, extracted from open-source JavaScript repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a javascript function or method.
docstring: The docstring or Javadoc associated with the function/method.… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/javascript-treesitter-filtered-datasetsV2.Greater-Sydney-Trees-BuildingsExplore our Greater Sydney Building Footprint and Tree Patch datasets using a PMTiles map here
aigis
AIGIS
AI annotation, segmentation, and conversion tools for GIS imagery
aigis is a comprehensive toolkit for aerial and satellite imagery acquisition, processing, annotation, and analysis using artificial intelligence. This repository contains three main components:
annotate: Tools for annotating aerial imagery data.
convert: Utilities for converting… See the full description on the dataset page: https://huggingface.co/datasets/SIH/Greater-Sydney-Trees-Buildings.go-treesitter-dedupe_doc-filtered-dataset
Go CodeSearch Dataset (Shuu12121/go-treesitter-dedupe_doc-filtered-dataset)
Dataset Description
This dataset contains Go functions and methods paired with their GoDoc comments, extracted from open-source Go repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a go function or method.
docstring: The docstring or Javadoc associated with the function/method.
func_name: The name of the… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/go-treesitter-dedupe_doc-filtered-dataset.Tree-Speciestypescript-treesitter-filtered-datasetsV2
Typescript CodeSearch Dataset (Shuu12121/typescript-treesitter-filtered-datasetsV2)
Dataset Description
This dataset contains TypeScript functions and methods paired with their TSDoc comments, extracted from open-source TypeScript repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a typescript function or method.
docstring: The docstring or Javadoc associated with the function/method.… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/typescript-treesitter-filtered-datasetsV2.CHR_detection_trees
Motif Segmentation in Paintings
Segmentation masks and metadata for trees detected in a corpus of paintings, produced with SAM3 as part of research in the golden matrix project at the Center for Humanities Computing Aarhus (chcaa).
Dataset Description
This dataset supports a studies of landscape and tree motifs in 19th-century Northern European paintings. It covers 4,727 paintings drawn from museum and Wikidata sources, with tree instances detected using [SAM3]… See the full description on the dataset page: https://huggingface.co/datasets/chcaa/CHR_detection_trees.Mechanicswikipedia-human-retrieval-ja
Japanese Wikipedia Human Retrieval dataset
This is a Japanese question answereing dataset with retrieval on Wikipedia articles
by trained human workers.
Contributors
Yusuke Oda
defined the dataset specification, data structure, and the scheme of data collection.
Baobab, Inc.
operated data collection, data checking, and formatting.
About the dataset
Each entry represents a single QA session:
given a question sentence, the responsible worker tried to search for… See the full description on the dataset page: https://huggingface.co/datasets/baobab-trees/wikipedia-human-retrieval-ja.alaska_dead_trees
Alaskan Dead Tree Dataset
Dataset Details
This dataset consists of high resolution aerial images of forest from the Kenai peninsula area of Alaska taken by NASA Goddard's G-LiHT instrument.
Pixel-wise annotations were created using k-means clustering augmented by a Gray Level Co-occurrence Matrix (GLCM). A value of 1 denotes a dead tree, and 0 denotes everything else. The masks and images were tiled into 256x256 pixel squares and paired together, then any empty masks… See the full description on the dataset page: https://huggingface.co/datasets/saking3/alaska_dead_trees.