datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
kwaiklear-sample-level-agent-trajectories-2.2Mipfs_israel_laws_ir
Israel legislation IR (CID-keyed sparse GraphRAG)
Research retrieval release of endomorphosis/ipfs_israel_laws (revision 86221a671797406ddfd71daf033378292578a86d) packaged as
country-laws-ir-graphrag/v1 (layout family skillcenter-huggingface-release/v3 / publicus-ir).
Not legal advice. This is a research snapshot. The official gazette /
authentic source of Israel prevails over this corpus. Retrieved documents
and graph edges are retrieval evidence only. No legal text was… See the full description on the dataset page: https://huggingface.co/datasets/justicedao/ipfs_israel_laws_ir.israeli_law
Open Israeli Law (Hebrew Wikisource)
Israel's entire body of law — every statute, regulation, and order that Hebrew Wikisource volunteers have transcribed for the "Open Book of Laws" project (ספר החוקים הפתוח) — in one file you can actually load and query.
Nearly 6,000 pages. Almost 100 million characters. One jsonl.
This isn't a scrape of a summary or a curated subset — it's the raw material: full MediaWiki wikitext, straight from the source, with the metadata you need to trace… See the full description on the dataset page: https://huggingface.co/datasets/gkour/israeli_law.kwaiklear-sample-level-agent-trajectories-350Kcase-law-israel
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
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Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/guychuk/case-law-israel.kwaiklear-sample-level-agent-trajectories-170Kflores-parallelbank_of_israel
Dataset Summary
For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/bank_of_israel
Additional Information
This dataset is annotated across three different tasks: Stance Detection, Temporal Classification, and Uncertainty Estimation. The tasks have four, two, and two unique labels, respectively. This dataset contains 1,000 sentences taken from the meeting minutes of the Bank of Israel.
Label Interpretation
Stance Detection… See the full description on the dataset page: https://huggingface.co/datasets/gtfintechlab/bank_of_israel.Amharic-News-Text-classification-Dataset
An Amharic News Text classification Dataset
In NLP, text classification is one of the primary problems we try to solve and its uses in language analyses are indisputable. The lack of labeled training data made it harder to do these tasks in low resource languages like Amharic. The task of collecting, labeling, annotating, and making valuable this kind of data will encourage junior researchers, schools, and machine learning practitioners to implement existing classification models… See the full description on the dataset page: https://huggingface.co/datasets/israel/Amharic-News-Text-classification-Dataset.aloha_transfer_cube_isr
aloha_transfer_cube_isr — ALOHA transfer-cube human demos, isr frame selection
Derived from lerobot/aloha_sim_transfer_cube_human (50 human teleop episodes, 50 Hz, 14-D, top cam 480×640). Frame selection: ISR d_target=1.81° (3× median joint step), λ_acc=3.5e-4, gripper_thr=2.84° — 9,916 frames (49.6 %). Re-stamped on a uniform 50 fps grid, state/action in degrees (convert rad↔deg at deployment), LeRobot v3.0, task string "Pick up the cube with the right arm and transfer it to… See the full description on the dataset page: https://huggingface.co/datasets/Kavin60606/aloha_transfer_cube_isr.is-raw-28Baloha_transfer_cube_isr_lam0
aloha_transfer_cube_isr_lam0 — ALOHA transfer-cube human demos, isr_lam0 frame selection
Derived from lerobot/aloha_sim_transfer_cube_human (50 human teleop episodes, 50 Hz, 14-D, top cam 480×640). Frame selection: ISR d_target=1.81°, λ_acc=0 (no acceleration term) — 8,206 frames (41 %). Re-stamped on a uniform 50 fps grid, state/action in degrees (convert rad↔deg at deployment), LeRobot v3.0, task string "Pick up the cube with the right arm and transfer it to the left arm.".… See the full description on the dataset page: https://huggingface.co/datasets/Kavin60606/aloha_transfer_cube_isr_lam0.aloha_transfer_cube_isr_k6
aloha_transfer_cube_isr_k6 — ALOHA transfer-cube human demos, isr_k6 frame selection
Derived from lerobot/aloha_sim_transfer_cube_human (50 human teleop episodes, 50 Hz, 14-D, top cam 480×640). Frame selection: ISR d_target=3.63° (6× median step) — 6,103 frames (30.5 %), equal budget to uni3. Re-stamped on a uniform 50 fps grid, state/action in degrees (convert rad↔deg at deployment), LeRobot v3.0, task string "Pick up the cube with the right arm and transfer it to the left… See the full description on the dataset page: https://huggingface.co/datasets/Kavin60606/aloha_transfer_cube_isr_k6.items_40_liteitems_raw_40_liteAmharicStoryQA6OHOLvM38r8Kgy1
MoleculeNet Benchmark (website)
MoleculeNet is a benchmark specially designed for testing machine learning methods of molecular properties. As we aim to facilitate the development of molecular machine learning method, this work curates a number of dataset collections, creates a suite of software that implements many known featurizations and previously proposed algorithms. All methods and datasets are integrated as parts of the open source DeepChem package(MIT license).
MoleculeNet… See the full description on the dataset page: https://huggingface.co/datasets/israel/6OHOLvM38r8Kgy1.aloha_transfer_cube_isr_d3.5flores_plusIsrael-palestine-war
Dataset Card for "Israel-palestine-war"
This Demo dataset is related to the research paper entitle "Online News Channel Streaming: A Comprehensive Analysis of Channel and User Engagement during the Israel-Palestine Conflict".
PREPRINT (Version 1) available at Research Square https://www.researchsquare.com/article/rs-3927576/latest
User Comments on News YouTube channels During Current War of Palstine & Israel Oct-2023.
Demo dataset size: {'NBCNews': 188490, 'aljazeeraenglish':… See the full description on the dataset page: https://huggingface.co/datasets/alsubari/Israel-palestine-war.accept_or_denylocalizationAmharicStoryQA_with_Amharic_Answerslrm_logss1_54k_filter_with_isreasoning
Dataset Card for XuHu6736/s1_54k_filter_with_isreasoning
Dataset Description
XuHu6736/s1_54k_filter_with_isreasoning is an enhanced version of the XuHu6736/s1_54k_filter dataset. This version includes additional annotations to assess the suitability of each question for reasoning training. These annotations, isreasoning_score and isreasoning, were generated using the deepseek-v3 model.
The purpose of these new fields is to allow users to filter, weight, or specifically… See the full description on the dataset page: https://huggingface.co/datasets/XuHu6736/s1_54k_filter_with_isreasoning.asia-aid-flows-iati-israel
Israel - Current IATI Aid Activities
Publisher: International Aid Transparency Initiative · Source: HDX · License: hdx-other · Updated: 2026-05-06
Abstract
List of active aid activities shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
Each row in this dataset represents country-level aggregates.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-aid-flows-iati-israel.test_enIsraeli-Palestinian-Conflict
Dataset Card Creation Guide
Dataset Summary
The Israeli-Palestinian-Conflict dataset is an English-language dataset contains manually collected claims, regarding the Israel-Palestine conflict, annotated both objectively with multi-labels to categorize the content according to common themes in such arguments, and subjectively by their level of impact on a moderately informed citizen. The primary purpose of this dataset is to support Israeli public relations efforts at… See the full description on the dataset page: https://huggingface.co/datasets/avishagnevo/Israeli-Palestinian-Conflict.items_raw_fullNEAQKba0G6fNVmI