datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Sekai
Sekai: A Video Dataset towards World Exploration
This repo contains the dataset proposed in
Sekai: A Video Dataset towards World Exploration
Zhen Li, Chuanhao Li, Xiaofeng Mao, Shaoheng Lin, Ming Li, Shitian Zhao, Zhaopan Xu,
Xinyue Li, Yukang Feng, Jianwen Sun, Zizhen Li, Fanrui Zhang, Jiaxin Ai, Zhixiang Wang,
Yuwei Wu, Tong He, Jiangmiao Pang, Yu Qiao, Yunde Jia, Kaipeng Zhang
Shanghai AI Laboratory, Beijing Institute of… See the full description on the dataset page: https://huggingface.co/datasets/Lixsp11/Sekai.bcp_envacm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch3
lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch3
Teacher (Qwen3.5-397B-A17B) top-20 forward-KL log-prob annotations for offline on-policy
distillation (OPD) of Qwen3.5-9B on BrowseComp-Plus train680 (MemTool regime).
Trains: OPD iter-3
Annotates the rollouts of: iter-2 rollouts (…-train-rollouts-…-epoch2)
One .npz per (question, rep) trajectory · 736 files.
Schema (per file, numpy.load)
key
shape
dtype
meaning
input_ids
(L,)
int32… See the full description on the dataset page: https://huggingface.co/datasets/lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch3.github-code-fontend-lang
github-code fontend code
Dwonload
方式一
huggingface-cli download --resume-download LiXiang12/github-code-fontend-lang --include "*/*.zip" --repo-type dataset --local-dir github_code
方式二
进入Files and versions/data直接下载zip文件
数据统计
testacm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch2
lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch2
Teacher (Qwen3.5-397B-A17B) top-20 forward-KL log-prob annotations for offline on-policy
distillation (OPD) of Qwen3.5-9B on BrowseComp-Plus train680 (MemTool regime).
Trains: OPD iter-2
Annotates the rollouts of: iter-1 rollouts (…-train-rollouts-…-epoch1)
One .npz per (question, rep) trajectory · 849 files.
Schema (per file, numpy.load)
key
shape
dtype
meaning
input_ids
(L,)
int32… See the full description on the dataset page: https://huggingface.co/datasets/lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch2.PartImageNetPP
PartImageNet++ Dataset
PartImageNet++ is an extensive dataset designed for robust object recognition and segmentation tasks. This dataset expands upon the original ImageNet dataset by providing detailed part annotations for each object category.
Official repository for PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition.
Dataset Statistics
The dataset includes:
1000 object categories derived from the original ImageNet-1K.
3308 part categories… See the full description on the dataset page: https://huggingface.co/datasets/lixiao20/PartImageNetPP.MRIS-Bench
MRIS-Bench
MRIS-Bench is a large-scale benchmark for Medical Referring Image Segmentation (MRIS).
The associated manuscript is currently under submission. The full dataset,
code, and detailed metadata will be released after the review process.
acm-browsecompplus-train-rollouts-qwen3.5-9b
lixiaochuan2020/acm-browsecompplus-train-rollouts-qwen3.5-9b
Base Qwen3.5-9B student rollouts on BrowseComp-Plus bcp_train_680 (680 questions),
pass@4 (4 runs), two agent regimes:
memtool/ — context-managed (MemTool: manage_context + query_memory), 131K / 100 turns
react/ — ReAct baseline
Each run{1..4}/ holds full per-question trajectories (run_*.json) and the GPT-5 grade
file (gpt5_eval.json). These are the example Stage-1 rollouts for the BrowseComp-Plus OPD… See the full description on the dataset page: https://huggingface.co/datasets/lixiaochuan2020/acm-browsecompplus-train-rollouts-qwen3.5-9b.acm-browsecompplus-train-rollouts-qwen3.5-9b-epoch1
lixiaochuan2020/acm-browsecompplus-train-rollouts-qwen3.5-9b-epoch1
BrowseComp-Plus train680 pass@4 rollouts (MemTool regime) from qwen3.5-9b-opd_iter1 — one row per (question, rep) in rollouts.jsonl.
Fields: question, gold, final_answer, correct_gpt5 (GPT-5 judge), num_turns, tool_call_counts, and full trajectories (raw_history + folded history + mem_operations + token_trajectory).
Stats: 2720 rollouts / 680 questions / reps [1, 2, 3, 4] · pass@1 70.0% · pass@4 83.2% (GPT-5).
acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch1
lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch1
Teacher (Qwen3.5-397B-A17B) top-20 forward-KL log-prob annotations for offline on-policy
distillation (OPD) of Qwen3.5-9B on BrowseComp-Plus train680 (MemTool regime).
Trains: OPD iter-1
Annotates the rollouts of: base model rollouts (react+memtool ×4)
One .npz per (question, rep) trajectory · 1145 files.
Schema (per file, numpy.load)
key
shape
dtype
meaning
input_ids
(L,)
int32… See the full description on the dataset page: https://huggingface.co/datasets/lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch1.trashlixinjicm_case_imagelongmemeval-s
LIXINYI33/longmemeval-s
This dataset repository contains JSON files compatible with LongMemEval-like experiments.
Uploaded files:
longmemeval_s_cleaned.json
Notes:
This repo was created/updated via a utility script and is intended for personal experiments.
JSON files can be loaded directly with the datasets library using the json builder, e.g.:
from datasets import load_dataset
# load a single file from the Hub
# replace <file.json> with your target file name
# requires… See the full description on the dataset page: https://huggingface.co/datasets/LIXINYI33/longmemeval-s.rust100_lixianghome-credit-default-riskVideoEval
Dataset Card for VideoEval
VidTAB
Action Recognition in Dark
You could download all videos from ARID at https://opendatalab.com/OpenDataLab/Action_Recognition_in_the_Dark.
You just need to use the mp4 video in the video folder and then use the annotations we provided.
Action Recognition in Long Video
You could download all videos from Breakfast at https://serre-lab.clps.brown.edu/resource/breakfast-actions-dataset/.
You just need to use the mp4… See the full description on the dataset page: https://huggingface.co/datasets/lixinhao/VideoEval.Anime_IconsMedWeave
MedWeave Evaluation Set
This private repository is the frozen, test-only export used by the MedWeave evaluation pipeline. The three clinical domains are deliberately separated so evaluators can load and score them independently.
Config
Clinical domain
Test questions
Included sources
eye
Eye / Ophthalmology
39,542
DDR (12,999), DeepDRiD (1,805), OCTDL (1,710), TOP (13,410), UCSD (3,392), dme_vqa (1,304), localized_medical_vqa_insegcat (4,322), ophthalvqa (600)
heart… See the full description on the dataset page: https://huggingface.co/datasets/lixiangcog/MedWeave.suayptalha__Lix-14B-v0.1-details
Dataset Card for Evaluation run of suayptalha/Lix-14B-v0.1
Dataset automatically created during the evaluation run of model suayptalha/Lix-14B-v0.1
The dataset is composed of 38 configuration(s), each one corresponding 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/open-llm-leaderboard/suayptalha__Lix-14B-v0.1-details.DeepAgent-Datasets
DeepAgent Datasets
Paper | GitHub
This repository contains the pre-processed evaluation datasets for DeepAgent, an end-to-end deep reasoning agent that performs autonomous thinking, tool discovery, and action execution within a single, coherent reasoning process.
Dataset Summary
The repository includes curated data for several major benchmarks used to evaluate reasoning agents across different domains:
General Tool Use
ToolBench: Features 16,000+… See the full description on the dataset page: https://huggingface.co/datasets/lixiaoxi45/DeepAgent-Datasets.lcm-datalibero-datasetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 1693,
"total_frames": 273465,
"total_tasks": 40,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 10.0,
"splits": {
"train": "0:1693"
},
"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/Lixin1260181376/libero-dataset.C2-SegDB
C2-SegDB
The associated manuscript is currently under submission.
octothinker_decay_stage2_1Btokens111test2MedVLThinker-EvalCode: https://github.com/UCSC-VLAA/MedVLThinker
Project Page: https://ucsc-vlaa.github.io/MedVLThinker/
📊 Datasets
Available Datasets
Our project provides several curated datasets for medical vision-language understanding and training:
Dataset
Modality
Description
Download
MedVLThinker-m23k-tokenized
Text-only
Tokenized version of the m23k dataset
🤗 HF
MedVLThinker-pmc_vqa-gpt_4o_reasoning-tokenized
Image-Text
Tokenized PMC-VQA dataset with GPT-4o… See the full description on the dataset page: https://huggingface.co/datasets/lixiangcog/MedVLThinker-Eval.ulip