datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
icl-dataset-end-effector-space
icl-dataset-fixed-obs
Derived from adityx23/icl-dataset
(lerobot v2.1 format). Every existing column, task, episode flag
(success/valid/keep), and episode_uid is carried through unchanged.
What's added
Two new features, observation.left_ee / observation.right_ee (float32,
shape [7], names qw, qx, qy, qz, x, y, z): the Cartesian end-effector
pose of each arm, forward-kinematics'd from that frame's recorded
observation.state (real joint encoders) through the same… See the full description on the dataset page: https://huggingface.co/datasets/Hannibal52Barca/icl-dataset-end-effector-space.demo-end-effector-space
demo_action_space
Derived from adityx23/icl-demo-dataset
(lerobot v2.1 format, 285 episodes / 254,171 frames / 27 tasks). Every
existing column, task, episode flag (success/valid/keep), and
episode_uid is carried through unchanged.
Sibling dataset: demo_joint_space
adds the same episodes' joint-space IK targets instead of Cartesian poses.
Same source, same episode indices, same pipeline.
What's added
Two new features, observation.left_ee / observation.right_ee… See the full description on the dataset page: https://huggingface.co/datasets/Hannibal52Barca/demo-end-effector-space.EffectData
EffectData
This repository contains the dataset released with the paper "EffectMaker: Unifying Reasoning and Generation for Customized Visual Effect Creation".
Shiyuan Yang1,2,†,*, Ruihuang Li1,†, Jiale Tao1, Shuai Shao1,‡, Qinglin Lu1,✉, Jing Liao2,✉1Tencent Hunyuan 2City University of Hong Kong †Equal Contribution *Work Done During Internship at Tencent Hunyuan ‡Project Lead ✉Corresponding Authors
We introduce EffectData, the largest and high-quality… See the full description on the dataset page: https://huggingface.co/datasets/ysy31415926/EffectData.EffectErase
EffectErase Dataset
🚨 License Update Notice (Important)We have updated the dataset license and access terms.If you submitted an access request before March 20, 2026, 20:23 (AoE),please resubmit your request to acknowledge the updated license.
⚠️ This dataset is for non-commercial research purposes only.Commercial use is strictly prohibited without explicit permission from the authors.
Overview
The EffectErase dataset is designed for video object removal and… See the full description on the dataset page: https://huggingface.co/datasets/FudanCVL/EffectErase.china-effective-laws-regulations
全国现行法律法规合集
现行有效的中华人民共和国法律、行政法规、监察法规、地方性法规、司法解释结构化文本。一部法规一行，一条法条一行，供查阅、检索、RAG 和法律 NLP 使用。
数据来自全国人大常委会办公厅 国家法律法规数据库，下载口径为官网的 「有效及尚未生效」。正文由 Word 原文用脚本抽取，未经大模型改写。
这不是官方汇编，不能替代公报或标准文本，也不能作为法律意见。 电子文本与标准文本不一致时，以法律规定的标准文本为准。
快照日期：2026-08-26
效力说明
本数据集 以现行有效法律法规为主体：
效力 status
法规份数
说明
有效
17,649
现行有效，默认应使用这一部分
尚未生效
7
已公布、施行日晚于快照日
失效
45
文件名含「失效」，多为已到期的全国人大常委会试点授权决定
使用时请筛选 status == "有效"，即可得到现行有效文本。同一部法若有修正前后多个版本，均予保留，用 filename_date 区分，采用最新日期即可。… See the full description on the dataset page: https://huggingface.co/datasets/senry5433/china-effective-laws-regulations.task828_copa_commonsense_cause_effect
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task828_copa_commonsense_cause_effect
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task828_copa_commonsense_cause_effect.variant-effect-prediction
Updates
[2025-09-09] We have added ClinVar variant effect prediction results to the repository. The evaluation dataset was sourced from SongLab. The benchmark includes comparisons of GENERator against Evo2, NT, NT-v2, HyenaDNA, GPN-MSA, CADD, phyloP, and phastCons.
Abouts
The human reference genome data is sourced from the NCBI website.
We have applied minor formatting adjustments to the dataset to facilitate streamlined data analysis.
How to use
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/GenerTeam/variant-effect-prediction.epidemic_sound_effectsvariant_effect_coding
🧬 BioReasonIncentivizing Multimodal Biological Reasoning within a DNA-LLM Model
Variant Effect Coding Dataset
50,083 core variant entries from GPN-MSA study using ClinVar pathogenic variants and gnomAD benign variants (MAF>5%), split by chromosome (Chr 1-7,9-22,X,Y for train, Chr 8 for test) for pathogenic/benign classification.
Usage
from datasets import load_dataset
dataset = load_dataset("wanglab/variant_effect_coding")
example = dataset["train"][0]… See the full description on the dataset page: https://huggingface.co/datasets/wanglab/variant_effect_coding.epidemic_sound_effects_t5_debiasedsonniss_game_effectsplate_effects
Multi-Source Domain Adaptation for Bioimaging Data (MSCDA-BioIm)
MSCDA-BioIm is a biomedical microscopy benchmark for evaluating test-time and in-context domain adaptation under realistic batch effects. Built from the large-scale JUMP-CP dataset, it targets mechanism-of-action (MoA) classification using five-channel images of compounds associated with eight well-defined MoA classes. The dataset is organized by experimental batches and imaging… See the full description on the dataset page: https://huggingface.co/datasets/anasanchezf/plate_effects.cagi-variant-effect-glm-tang
GLM-Tang Task 3: CAGI Regulatory Variant Effects
This dataset packages the saturation-mutagenesis MPRA variants used for
Task 3 of Tang et al. The task is zero-shot variant-effect prediction:
compare a reference sequence with a matched single-nucleotide alternate
sequence and test whether the model score tracks the measured regulatory
effect.
Choosing a configuration
Config
Rows
Sequence length
Intended use
paper-230
5,056
230 nt
Official… See the full description on the dataset page: https://huggingface.co/datasets/Taykhoom/cagi-variant-effect-glm-tang.variant_effect_non_snv
🧬 BioReasonIncentivizing Multimodal Biological Reasoning within a DNA-LLM Model
Variant Effect Coding Non-SNVs Dataset
36,088 core non-SNV entries from ClinVar 2024-02-28 release, filtered for coding variants with ≥2-star review status, using stratified train/test splits for balanced disease representation in pathogenic/benign classification.
Usage
from datasets import load_dataset
dataset = load_dataset("wanglab/variant_effect_non_snv")
example =… See the full description on the dataset page: https://huggingface.co/datasets/wanglab/variant_effect_non_snv.ArXiv-10
ArXiv-10
"ArXiv-10" dataset consists of titles and abstracts extracted from 100k scientific papers on ArXiv, covering ten distinct research categories.
These categories includes subfields of computer science, physics, and mathematics.
To ensure consistency and manageability, the dataset consists of precisely 10k samples per category.
This dataset provides a practical resource for researchers and practitioners interested in LLM.
What is different about this dataset is the high… See the full description on the dataset page: https://huggingface.co/datasets/effectiveML/ArXiv-10.dllm-effect-parents-w128-tau2-half-v2
Deprecated — do not use
The payload on this repository's main branch was removed on 2026-09-19.
It used the superseded pre-fix counterfactual dependency construction
(manifest.json SHA-256 678fc4069de11c941120e3bfe431857ea15d70b8a02bde34a1e5091ad82f0888) and is not the corrected
d1-marginal graph.
Use the corrected canonical B64 replacement:
zimplex/dllm-effect-parents-llada2-finemath-half-d1marginal-w128-tau2-b64-v3
(manifest… See the full description on the dataset page: https://huggingface.co/datasets/zimplex/dllm-effect-parents-w128-tau2-half-v2.Effective_prompts_for_scraping_AI_data_to_train_another_modelEffective prompts for scraping AI data to train another model !
nmt-pe-effects
Neural Machine Translation Quality and Post-Editing Performance
This is a repository for an experiment relating NMT quality and post-editing efforts, presented at EMNLP2021 (presentation recording).
Please cite the following paper when you use this research:
@inproceedings{zouhar2021neural,
title={Neural Machine Translation Quality and Post-Editing Performance},
author={Zouhar, Vil{\'e}m and Popel, Martin and Bojar, Ond{\v{r}}ej and Tamchyna, Ale{\v{s}}}… See the full description on the dataset page: https://huggingface.co/datasets/zouhar/nmt-pe-effects.2D-animation-effectsbatch-effects-leaderboard-resultsafrica-world-bank-aid-effectiveness-indicators-for-rwanda
Rwanda - Aid Effectiveness | Africa (original)
Size category: 1K<n<10K - Formats: parquet - Sector: demographics_social - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets help analysts inspect structured… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-rwanda.mdk_gov_data_titles_clf
Dataset Card for MDK
This dataset was created as part of the Bertelsmann Foundation's
Musterdatenkatalog (MDK) project. The MDK provides an overview of Open Data in municipalities in Germany. It is intended to help municipalities in Germany, as well as data analysts and journalists, to get an overview of the topics and the extent to which cities have already published data sets.
Dataset Description
Dataset Summary
The dataset is an annotated corpus of… See the full description on the dataset page: https://huggingface.co/datasets/and-effect/mdk_gov_data_titles_clf.btc_news_effects_2018_2024Synset-Background-Effect-Datasets
Synset Background Effect Datasets
For investigating the effect of background on feature importance and classification performance, we systematically generated six synthetic datasets for the
task of traffic sign recognition, which differ only in their degree of camera variation and background correlation. Each of these datasets contains 82 classes
of traffic signs with 1,100 images per class, resulting in 90,200 images per dataset, summing up to a total of 541,200 images.… See the full description on the dataset page: https://huggingface.co/datasets/FraunhoferIOSB/Synset-Background-Effect-Datasets.flan_combined_task828_copa_commonsense_cause_effectspace_engineering_environment_effects_textsrepro-mm-deepresearch-a-simple-and-effective-multimodal-agentic-search-baseline-traces
Agent traces
Agent sessions published from a Trackio Logbook.
Mutation_effect_dataset**Repository: https://ftp.ebi.ac.uk/pub/databases/intact/current/various/mutations.tsv
**Reference: Kerrien, S. et al. The IntAct molecular interaction database in 2012. Nucleic Acids Research 40, D841–D846 (2012).
africa-sao-tome-and-principe-sao-tome-and-principe-aid-effectiveness-e2b6fce3
Sao Tome and Principe - Aid Effectiveness | Africa (Sao Tome and Principe official open data)
1,655 rows - 1 Africa country - 1960-2025 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official CSV resource from Sao Tome and Principe as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Sao Tome and… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-sao-tome-and-principe-sao-tome-and-principe-aid-effectiveness-e2b6fce3.africa-drc-congo-dem-rep-aid-effectiveness-7ad8eaa4
Congo, Dem. Rep. - Aid Effectiveness | Africa (DRC official open data)
2,570 rows - 1 Africa country - 1960-2025 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official CSV resource from DRC as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Congo, Dem. Rep. - Aid Effectiveness
Publisher: World… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-congo-dem-rep-aid-effectiveness-7ad8eaa4.