datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pixelrag-tiles
PixelRAG tile corpus
Rendered screenshot tiles for PixelRAG, a visual retrieval-augmented-generation system that retrieves over page images instead of parsed text. Each Wikipedia page is rendered to an image and cut into fixed-height tiles; retrieval runs on the tiles directly with a Qwen3-VL embedding model.
This repository holds the full tile corpus that the published FAISS indexes and embeddings were built from, so the whole pipeline (tiles → embeddings → index → search) can… See the full description on the dataset page: https://huggingface.co/datasets/StarTrail-org/pixelrag-tiles.plism-dataset-tiles
PLISM dataset
The Pathology Images of Scanners and Mobilephones (PLISM) dataset was created by (Ochi et al., 2024) for the evaluation of AI models’ robustness to inter-institutional domain shifts.
All histopathological specimens used in creating the PLISM dataset were sourced from patients who were diagnosed and underwent surgery at the University of Tokyo Hospital between 1955 and 2018.
PLISM-wsi consists in a group of consecutive slides digitized under 7 different scanners and… See the full description on the dataset page: https://huggingface.co/datasets/owkin/plism-dataset-tiles.nanopath-fairness-tiles
nanopath-fairness-tiles
Pre-tiled histopathology patches from CPTAC whole-slide images, used as the
external out-of-distribution validation set for a study on pretraining-time
vs. post-hoc fairness in histopathology foundation models.
Contents
Per-cohort folders, each slides_full/<slide_id>.parquet (one row per tile:
case_id, slide_id, tile_idx, image) + labels.tsv:
cohort
organ / task
slides
cptac_lung
NSCLC — LUAD vs LSCC subtype
604
cptac_gbm
GBM —… See the full description on the dataset page: https://huggingface.co/datasets/ryankim17920/nanopath-fairness-tiles.onlypits-lunar-tilesgtex-10M-balanced-tiles
GTEx 10M Balanced Tiles
This dataset contains 10,000,000 JPEG-encoded 224x224 pathology tiles from GTEx SVS slides in s3://path-datasets/gtex/svs_by_tissue, balanced at 250,000 tiles for each of the 40 tissue prefixes. Source objects under 80,000,000 bytes are ignored because the GTEx prefix contains tiny unsupported SVS objects. Tiles are sampled from virtual OpenSlide levels 0, 1, and 2, so the effective field of view varies while the emitted JPEG size stays fixed.
Each… See the full description on the dataset page: https://huggingface.co/datasets/medarc/gtex-10M-balanced-tiles.game-asset-tiles
Game Asset Tiles
This dataset contains 275 samples, each consisting of a tile image, a matching template image and a description.
Tiles were generated with Nano Banana 2 and FLUX.2, or sourced from kenney.nl.
hex / oct / rect describe the footprint shape, flat-top or pointy-top describe the hex shape orientation, and isometric, oblique, or top-down describe the perspective.
Repository layout:
tiles/: PNG tile images
descriptions/: Short English text prompts
coordinates/: JSON point… See the full description on the dataset page: https://huggingface.co/datasets/crafiq/game-asset-tiles.mahjong_tilesosm-completeness-tiles219-tiles
Dataset Card
Dataset Description
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Dataset Structure
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Uses
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SpatialData_with_spatial_tilespart1-assemble_disassemble_tilesThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "hand",
"total_episodes": 601,
"total_frames": 773326,
"total_tasks": 18,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:601"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/gsethia08/part1-assemble_disassemble_tiles.plism-dataset-tiles-st
Stain-Transferred PLISM Dataset
Dataset Overview
The Stain-Transferred PLISM dataset is a synthetic variant of the PLISM dataset tiles provided by Filiot et al. (2025), which is based on the original PLISM-wsi dataset by Ochi et al. (2024).
This dataset isolates global color-level variations (staining profiles) from localized morphological and scanner-specific hardware artifacts. It is specifically designed to evaluate and robustify computational pathology… See the full description on the dataset page: https://huggingface.co/datasets/klotz11/plism-dataset-tiles-st.osm-planet-tiles-T41
OSM Planet Tiles - Hecke Operator T_41
Tiles sharded by Hecke operator T_41 (Monster prime 41).
Dataset Info
Hecke Operator: T_41
Monster Prime: 41
Files: 65994 tiles
Sharding: Hash mod 15 → T_41
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_41 (resonance 41)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T41.mahjong-winning-tiles
Mahjong Winning Tiles (胡啥牌) Benchmark
Introduction
Mahjong Winning Tiles is a benchmark dataset designed to evaluate the reasoning capability of large language models (LLMs). It focuses on assessing logical thinking, pattern recognition, and decision-making by challenging models to calculate possible winning tiles needed to complete a Mahjong hand of 13 tiles.
Background: Mahjong Rules
Mahjong is a traditional 4-player tile game originating from China and… See the full description on the dataset page: https://huggingface.co/datasets/sileixu/mahjong-winning-tiles.osm-planet-tiles-T71
OSM Planet Tiles - Hecke Operator T_71
Tiles sharded by Hecke operator T_71 (Monster prime 71).
Dataset Info
Hecke Operator: T_71
Monster Prime: 71
Files: 65698 tiles
Sharding: Hash mod 15 → T_71
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_71 (resonance 71)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T71.osm-planet-tiles-T31
OSM Planet Tiles - Hecke Operator T_31
Tiles sharded by Hecke operator T_31 (Monster prime 31).
Dataset Info
Hecke Operator: T_31
Monster Prime: 31
Files: 65986 tiles
Sharding: Hash mod 15 → T_31
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_31 (resonance 31)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T31.AGL-Tiles-Datasetsatellite_tilesosm-planet-tiles-T3
OSM Planet Tiles - Hecke Operator T_3
Tiles sharded by Hecke operator T_3 (Monster prime 3).
Dataset Info
Hecke Operator: T_3
Monster Prime: 3
Files: 65530 tiles
Sharding: Hash mod 15 → T_3
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_3 (resonance 3)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T3.osm-planet-tiles-T19
OSM Planet Tiles - Hecke Operator T_19
Tiles sharded by Hecke operator T_19 (Monster prime 19).
Dataset Info
Hecke Operator: T_19
Monster Prime: 19
Files: 65847 tiles
Sharding: Hash mod 15 → T_19
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_19 (resonance 19)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T19.osm-planet-tiles-T13
OSM Planet Tiles - Hecke Operator T_13
Tiles sharded by Hecke operator T_13 (Monster prime 13).
Dataset Info
Hecke Operator: T_13
Monster Prime: 13
Files: 65718 tiles
Sharding: Hash mod 15 → T_13
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_13 (resonance 13)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T13.osm-planet-tiles-T29
OSM Planet Tiles - Hecke Operator T_29
Tiles sharded by Hecke operator T_29 (Monster prime 29).
Dataset Info
Hecke Operator: T_29
Monster Prime: 29
Files: 66024 tiles
Sharding: Hash mod 15 → T_29
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_29 (resonance 29)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T29.osm-planet-tiles-T47
OSM Planet Tiles - Hecke Operator T_47
Tiles sharded by Hecke operator T_47 (Monster prime 47).
Dataset Info
Hecke Operator: T_47
Monster Prime: 47
Files: 65966 tiles
Sharding: Hash mod 15 → T_47
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_47 (resonance 47)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T47.osm-planet-tiles-T7
OSM Planet Tiles - Hecke Operator T_7
Tiles sharded by Hecke operator T_7 (Monster prime 7).
Dataset Info
Hecke Operator: T_7
Monster Prime: 7
Files: 65614 tiles
Sharding: Hash mod 15 → T_7
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_7 (resonance 7)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T7.osm-planet-tiles-T11
OSM Planet Tiles - Hecke Operator T_11
Tiles sharded by Hecke operator T_11 (Monster prime 11).
Dataset Info
Hecke Operator: T_11
Monster Prime: 11
Files: 65534 tiles
Sharding: Hash mod 15 → T_11
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_11 (resonance 11)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T11.osm-planet-tiles-T59
OSM Planet Tiles - Hecke Operator T_59
Tiles sharded by Hecke operator T_59 (Monster prime 59).
Dataset Info
Hecke Operator: T_59
Monster Prime: 59
Files: 65832 tiles
Sharding: Hash mod 15 → T_59
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_59 (resonance 59)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T59.nassau-parcels-tilesosm-planet-tiles-T5
OSM Planet Tiles - Hecke Operator T_5
Tiles sharded by Hecke operator T_5 (Monster prime 5).
Dataset Info
Hecke Operator: T_5
Monster Prime: 5
Files: 65489 tiles
Sharding: Hash mod 15 → T_5
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_5 (resonance 5)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T5.osm-planet-tiles-T2
OSM Planet Tiles - Hecke Operator T_2
Tiles sharded by Hecke operator T_2 (Monster prime 2).
Dataset Info
Hecke Operator: T_2
Monster Prime: 2
Files: 65575 tiles
Sharding: Hash mod 15 → T_2
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_2 (resonance 2)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T2.osm-planet-tiles-T17
OSM Planet Tiles - Hecke Operator T_17
Tiles sharded by Hecke operator T_17 (Monster prime 17).
Dataset Info
Hecke Operator: T_17
Monster Prime: 17
Files: 65820 tiles
Sharding: Hash mod 15 → T_17
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_17 (resonance 17)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T17.