datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
openiti-vectors
OpenITI Vector Database — maktabati.ai
🇬🇧 English
This dataset contains the fully vectorized OpenITI RELEASE 2025-1-9 collection of classical Islamic texts, prepared for semantic search (RAG).
Each entry represents a text chunk from one of 8,943 works in the OpenITI corpus, together with its embedding vector and complete metadata.
Statistics:
4,696,703 chunks
8,943 works (primary editions only, status=pri from OpenITI TSV)
approx. 470 Parquet files (approx.… See the full description on the dataset page: https://huggingface.co/datasets/Maktabati/openiti-vectors.vecforge-paper-corpus
Note (rebuild in progress): figures are being re-extracted with a fixed extractor (cleaner crops). The image-preview config (Parquet with an inline column + difficulty/type/score labels) returns after re-classification. The config (paper metadata + links) is live now.
VecForge Paper Corpus
A pristine, deduplicated collection of 59,732 top-venue AI/ML/CV/NLP/Robotics papers (2020-2024) with
every captioned figure and full paper text, for research on figure understanding… See the full description on the dataset page: https://huggingface.co/datasets/debajyotidasgupta/vecforge-paper-corpus.shamela-vectors
🇬🇧 English
The largest open-source vector database of the complete al-Maktaba al-Shamela (المكتبة الشاملة) Islamic text corpus, prepared for semantic search and Retrieval-Augmented Generation (RAG). Includes the full Quran text (6,236 verses, Hafs 'an 'Asim).
Statistics:
11,482,164 chunks from 8,589 classical Islamic books
6,236 Quran verses (one verse = one chunk, included in total)
40 categories covering the full breadth of Islamic scholarship
Period: 1st century AH to 15th… See the full description on the dataset page: https://huggingface.co/datasets/Maktabati/shamela-vectors.s2ef-15m
Dataset Description
This dataset contains a collection of 3D atomistic datasets with force and energy labels gathered from a series of sources:
Open Catalyst Project
OC20, OC22, ODAC23
Materials Project Trajectory Dataset (MPtrj)
SPICE 1.1.4
Dataset Structure
Data Instances
For each instance, there is set of atomic numbers (input_ids), 3-D coordinates (coords), a set of forces per atom (forces), the total and formation energy per
system… See the full description on the dataset page: https://huggingface.co/datasets/vector-institute/s2ef-15m.hackernews-vector-search-datasetThe Hacker News dataset contains 28.74 million postings and their vector embeddings. The embeddings were generated using SentenceTransformers model all-MiniLM-L6-v2. The dimension of each embedding vector is 384.
Created by clickhouse more info: https://clickhouse.com/docs/getting-started/example-datasets/hackernews-vector-search-dataset
route_red_yellow_vector_subtasks_pi05
Route Red-Yellow Vector Subtasks for pi0.5
This is a LeRobot v2.1 transformation of DistantSky/route at commit aced1e96f6b8bf98ffaa0754407636e82442b084.
The dataset contains 212 real-robot episodes, 135699 frames, three cameras, and 14-dimensional actions at 100 Hz.
Conditioning
Only observation.images.video_overhead is modified. The left and right videos are byte-identical to the source dataset.
The overhead image receives one fixed selected-connector pose glyph… See the full description on the dataset page: https://huggingface.co/datasets/ajaysri/route_red_yellow_vector_subtasks_pi05.shamela-vectors
🇬🇧 English
The largest open-source vector database of the complete al-Maktaba al-Shamela (المكتبة الشاملة) Islamic text corpus, prepared for semantic search and Retrieval-Augmented Generation (RAG). Includes the full Quran text (6,236 verses, Hafs 'an 'Asim).
Statistics:
11,482,164 chunks from 8,589 classical Islamic books
6,236 Quran verses (one verse = one chunk, included in total)
40 categories covering the full breadth of Islamic scholarship
Period: 1st century AH to 15th… See the full description on the dataset page: https://huggingface.co/datasets/Kandil7/shamela-vectors.amazon-reviewsdetails_Delta-Vector__Odin-9B
Dataset Card for Evaluation run of Delta-Vector/Odin-9B
Dataset automatically created during the evaluation run of model Delta-Vector/Odin-9B.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_Delta-Vector__Odin-9B.pi07_cable_three_vector_v1
Three-holder cable routing with vector goals
Real-robot demonstrations for a vector-conditioned low-level policy: place three holders and route a cable through each holder. This is the validated LeRobot v3 dataset prepared for the first Pi0.7 four-camera-goal cable policy.
Property
Value
Source recordings
140
Subtask episodes
840
Frames
335,897
Sampling rate
100 Hz
Robot
ARX bimanual
Recorded state / action
14 / 14 dimensions
Video resolution
448 × 448… See the full description on the dataset page: https://huggingface.co/datasets/ajaysri/pi07_cable_three_vector_v1.MobileGym-ConAct-Trajectories
MobileGym-ConAct-Trajectories
Dataset Viewer · MobileGym · MemGUI-Agent · Paper
Abstract
MobileGym-ConAct-Trajectories is a release of successful mobile GUI-agent rollouts collected in the MobileGym simulator. Each trajectory is selected from judge-verified rollouts using a deterministic per-task rule: retain the shortest structurally valid success, then break ties by source run and episode ID. The release preserves screenshots, the rendered prompt supplied to the… See the full description on the dataset page: https://huggingface.co/datasets/Ma-Vector/MobileGym-ConAct-Trajectories.amazon-reviews-10Mnvidia-math-vectorizedtrash_pickup_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 25,
"total_frames": 7500,
"total_tasks": 1,
"total_videos": 50,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:25"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/vectorcrumb/trash_pickup_v1.wiki-image-vectorsVector embeddings of images on Wikipedia using google/siglip2-base-patch16-384
Here's an example of how to use this
# /// script
# requires-python = ">=3.11"
# dependencies = [
# "gradio",
# "torch",
# "transformers",
# "pyarrow",
# "numpy",
# "huggingface_hub",
# ]
# ///
"""
Semantic search over Wikipedia/Commons image embeddings (SigLIP 2).
Run locally:
VECTORS=/path/to/vectors.parquet uv run app.py
Or let it pull from the Hub:
uv run app.py
"""
import… See the full description on the dataset page: https://huggingface.co/datasets/derenrich/wiki-image-vectors.vectrix-art-e
Vectrix ART-E: Synthetic Email Agent Benchmark
A fully synthetic email corpus and task dataset for training and evaluating email search agents, built as a drop-in replacement for the Enron corpus used in OpenPipe's ART-E benchmark.
Key Result
A Qwen3.5-35B-A3B fine-tuned via GRPO on this synthetic dataset beats o3 on real Enron emails (86% vs 85%) — despite never seeing a single real email during training.
Dataset Contents
The dataset is available in two… See the full description on the dataset page: https://huggingface.co/datasets/TonicAI/vectrix-art-e.amazon-reviews-100Kchimera-bench-v1
CHIMERA Bench v3.0 Mega
Comprehensive Hybrid Intelligence Metric for Excellence in Reasoning & Analysis
8503 articulated multi-step problems across 4 domains (larger than GSM8K).
Domain
Problems
Focus
MATH
3803
Multi-step word problems: shopping, speed/distance, geometry, combinatorics, algebra, number theory, calculus
CODE
1500
Code tracing, bug finding, algorithm design, complexity analysis, OOP, recursion
SCIENCE
1500
Physics (projectile, energy, circuits)… See the full description on the dataset page: https://huggingface.co/datasets/vectionlabs/chimera-bench-v1.vectors2vibes-discogs-metadata
Vectors2Vibes Discogs Metadata
Metadata for 24.6k tracks derived from Discogs Data and MTG Discogs-VI-YT. No audio files.
Note that earliest release year data is derived from MusicBrainz, as Discogs release year data is sparse and often unreliable.
Quick Facts:This dataset contains 24,689 tracks (release dates spanning from 1890-2026).
The top 5 represented decades are: 1960s (19.39%), 1970s (15.09%), 1980s (14.81%), 1950s (14.96%), and 1990s (14.27%).
The top 5 represented genres… See the full description on the dataset page: https://huggingface.co/datasets/vectors2vibes/vectors2vibes-discogs-metadata.echo-review-vectors
echo-review-vectors
Precomputed embeddings for the 45,864 distinct review texts in
Echo, encoded with
aynaval2003/echo-sbert-domain.
file
what it is
sbert-domain.fp16.npy
(45864, 768) float16, L2-normalised, row i matches row i of the parquet
corpus.parquet
row_index, content, n_rows, review_ids
45,864 vectors cover 64,280 review rows, because identical texts share one vector.
corpus.parquet is what joins a vector back to its reviews — without it the .npy
is an… See the full description on the dataset page: https://huggingface.co/datasets/aynaval2003/echo-review-vectors.eng_script_vectorized_v3
Dataset Card for "eng_script_vectorized_v3"
More Information needed
turkish-medical-vector-search
🩺 Türkçe Tıbbi Vektör Arama Projesi
Bu projede Türkçe tıbbi makaleler üzerinde çalışan basit bir semantik arama sistemi geliştirdim. Temel amaç, kullanıcı bir soru sorduğunda bu soruyla en alakalı makale parçalarını bulabilmek.
Burada özellikle dikkat ettiğim noktalardan biri, sistemin elinde yeterli bilgi yokken cevap üretmeye çalışmamasıydı. Bu nedenle benzerlik skoru belirli bir seviyenin altında kaldığında sistem cevap vermek yerine:
Bu sorunun cevabı dokümanlarımda yer… See the full description on the dataset page: https://huggingface.co/datasets/berkcangumusisik/turkish-medical-vector-search.amazon-reviews-10Kroute_red_yellow_vector_split_subtasks_example
Route Red-Yellow Vector Split-Subtask Example
This is a LeRobot v2.1 example derived from
ajaysri/route_red_yellow_vector_subtasks_pi05.
Source episode(s) 2 are split into one output episode per maximal
contiguous run of metadata.route.active_subgoal.
The example has 4 output episodes and 948 frames.
All three videos are cut on the same frame boundaries as the Parquet data and
re-encoded as H.264 at 100 Hz.
Why the split count is inferred
The complete 212-episode… See the full description on the dataset page: https://huggingface.co/datasets/ajaysri/route_red_yellow_vector_split_subtasks_example.dia-state-lab-2026
DIA lab footprint table
This dataset is the rollup table for the Data & Impact Accounting (DIA) lab
demo. It indexes the training footprint (energy, carbon, water) and lineage of a
set of demo models trained across A100 / A40 / CPU hardware.
It is produced by ingesting each model's dia_report card and is read by the DIA
Gradio dashboard. It stores metadata only — no model weights.
Files
nodes.parquet — one flat row per model (browsable in the Dataset Viewer):… See the full description on the dataset page: https://huggingface.co/datasets/vector-institute/dia-state-lab-2026.autonomous-db-internals-vector-search-suite
⚡ Autonomous Database Internals, Vector Search Engines & Distributed Storage Suite (2026)
A Production-Grade, Verifiable Synthetic Corpus for Training Autonomous Database Kernel & Vector Retrieval LLMs
💼 Get Full 12,500-Row Enterprise Suite on Gumroad →
Full 10,000 SFT + 2,500 DPO Rows • 254.6 MB Pre-Indexed SQLite DB • RLVR/GRPO Sandboxed Testbed • Commercial License
⚡ Overview & Industry Problem
Deploying autonomous AI… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/autonomous-db-internals-vector-search-suite.Vector-QM24_DFT_all
Cite this dataset Khan, D., Benali, A., Kim, S. Y. H., Rudorff, G. F., and Lilienfeld, O. A. Vector-QM24 DFT all. ColabFit, 2025. https://doi.org/None
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_typ49f9r0b6v_0
Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/Vector-QM24_DFT_all.quran-rag-vectorsamazon-reviews-1MVector-QM24_DFT_saddles
Cite this dataset Khan, D., Benali, A., Kim, S. Y. H., Rudorff, G. F., and Lilienfeld, O. A. Vector-QM24 DFT saddles. ColabFit, 2025. https://doi.org/None
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_fqtku6xqc1an_0
Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/Vector-QM24_DFT_saddles.