datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ru-big-russian-dataset
Big Russian Dataset
Made by ZeroAgency.ru - telegram channel.
Dataset size
Train: 1 710 601 samples (filtered from 2_149_360)
Test: 18 520 samples (not filtered)
English
The Big Russian Dataset is a combination of various primarily Russian‑language datasets. With some sort of reasoning!
The dataset was deduplicated, cleaned, scored using gpt-4.1 and filtered.
Русский
Big Russian Dataset - большой русский датасет. Комбинация из… See the full description on the dataset page: https://huggingface.co/datasets/ZeroAgency/ru-big-russian-dataset.RubricHub_v1
RubricHub
RubricHub is a large-scale (approximately 110K), multi-domain dataset that provides high-quality rubric-based supervision for open-ended generation tasks. It is constructed via an automated coarse-to-fine rubric generation framework, which integrates principle-guided synthesis, multi-model aggregation, and difficulty evolution to produce comprehensive and highly discriminative evaluation criteria, overcoming the supervision ceiling of… See the full description on the dataset page: https://huggingface.co/datasets/sojuL/RubricHub_v1.rublimp
RuBLiMP
Dataset Description
RuBLiMP, or Russian Benchmark of Linguistic Minimal Pairs, is the first diverse and large-scale benchmark of minimal pairs in Russian.
RuBLiMP includes 45k minimal pairs of sentences that differ in grammaticality and isolate morphological, syntactic, or semantic phenomena. In contrast to existing benchmarks of linguistic minimal pairs, RuBLiMP is created by applying linguistic perturbations to automatically annotated sentences from open text… See the full description on the dataset page: https://huggingface.co/datasets/RussianNLP/rublimp.gutenberg_spacy-nerxtac-umi-g1-insert-rubber-stopper
Representative frames from TacVerse's bimanual
demonstrations.
Collected with XTac-UMI-G1 grippers, released as LeRobot
datasets.
This dataset was created using LeRobot.
Explore this dataset with the LeRobot Dataset Viewer.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "xtac_umi_g1",
"total_episodes": 10,
"total_frames": 6204,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100… See the full description on the dataset page: https://huggingface.co/datasets/TacVerse/xtac-umi-g1-insert-rubber-stopper.AIRBOT_MMK2_storage_rubiks_cube_and_cup
AIRBOT_MMK2_storage_rubiks_cube_and_cup
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: discover_robotics_aitbot_mmk2
| Codebase Version: v2.1
End-Effector Type: five_finger_hand
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
pick
place
📊 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/AIRBOT_MMK2_storage_rubiks_cube_and_cup.RuBQReranking
RuBQReranking
An MTEB dataset
Massive Text Embedding Benchmark
Paragraph reranking based on RuBQ 2.0. Give paragraphs that answer the question higher scores.
Task category
t2t
Domains
Encyclopaedic, Written
Referencehttps://openreview.net/pdf?id=P5UQFFoQ4PJ
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["RuBQReranking"])
evaluator = mteb.MTEB(task)
model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/RuBQReranking.hsl_leap_grasp_rubber_duck_rrt_filtered_v1R1_Lite_move_the_position_of_the_rubiks_cube
R1_Lite_move_the_position_of_the_rubiks_cube
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: galaxea_r1_lite
| Codebase Version: v2.1
End-Effector Type: two_finger_gripper
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
place
pick
grasp
📊 Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/R1_Lite_move_the_position_of_the_rubiks_cube.llm-metric-tuluswerl-tmax-15k-rubric-gpt-5-6-sol
swerl-tmax-15k with task-quality rubric labels (gpt-5-6-sol)
hamishivi/swerl-tmax-15k, unchanged and unfiltered, with a per-task quality
label attached as extra columns.
This is not a verified or filtered dataset. Every one of the 14,601 original
records is present. Nothing has been dropped, repaired, or reordered. The labels
are one model's judgement about whether each task is sound enough to be useful RL
training data — an annotation layer, not a correctness guarantee.… See the full description on the dataset page: https://huggingface.co/datasets/wAI-org/swerl-tmax-15k-rubric-gpt-5-6-sol.amazon-c2-varied-rubrics
Amazon C2 varied-rubric distillation
This release exposes six balanced C2 SFT configurations: latent-state and non-diverse candidate panels at
K=1, K=2, and K=4 rubrics per retained reviewer. Each rubric-writer target is paired with one full-rubric
listwise judge target over the same variant's frozen 40-candidate panel. The K arms within a variant share one
reviewer cohort and are exact nested prefixes.
Config
Train rows
Validation
Test
Train reviewers… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/amazon-c2-varied-rubrics.rlbench_put_rubbish_in_bin_absoluteThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "panda",
"total_episodes": 100,
"total_frames": 14939,
"total_tasks": 5,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:100"
},
"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/iAyoD/rlbench_put_rubbish_in_bin_absolute.rubricbench
Summary
RubricBench is a curated benchmark comprising 1,147 pairwise comparisons specifically designed to assess the reliability of rubric-guided evaluation.
It addresses the lack of a unified benchmark with both the discriminative complexity and the ground-truth rubric annotations required for rigorous analysis.
Each sample is augmented with expert-annotated, atomic rubrics derived strictly from instructions.
Dataset Structure & Domains
The dataset spans five… See the full description on the dataset page: https://huggingface.co/datasets/DonJoey/rubricbench.cornstack_ruby_ru_enThe CoRNStack Dataset translated into Russian. Translation was done with Qwen3-8B model.
mR3-Dataset-Filtered3PolyGuardMix-en_prompt_en_thinking-filtered_correctmR3-Dataset-Filtered2ru-big-russian-dataset-16k-tokens-limitR3-full-datasetso101_grasp_rubicThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 102,
"total_frames": 33571,
"total_tasks": 1,
"total_videos": 102,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:102"
},
"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/zz4321/so101_grasp_rubic.swe-rubrics-mined-1000mR3-Dataset-Filtered1-no-PolyGuardrubics_cube_bboxes
rubics_cube
This dataset was generated using phosphobot.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, get your own phospho starter pack..
ru-big-russian-dataset-v1.1rlbench_put_rubbish_in_bin_joint_positionThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "panda",
"total_episodes": 100,
"total_frames": 14948,
"total_tasks": 5,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:100"
},
"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/iAyoD/rlbench_put_rubbish_in_bin_joint_position.put_rubbish_in_bin_lerobotv2.1llm-metric-ultrafeedbackRUBINDSCI6523_LeagueofLegends