datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
llm_plan_gen_dataset_accu_t1_t3_t4
[!IMPORTANT]
This is the training dataset for the ICAPS 2025 paper "Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation".
from pathlib import Path
import os
import jsonlines
from copy import deepcopy
from datasets import load_dataset
from icecream import ic
import enum
from enum import IntEnum
from enum import auto
class CONFIG_TYPES(enum.Enum):
# "type_id": ['t0', 'accu-t1', 'accu-t2', 'accu-t3', 'accu-t4', 'accu-t4', 'accu-t1+t4', 'accu-t2+t4']… See the full description on the dataset page: https://huggingface.co/datasets/huangsukai/llm_plan_gen_dataset_accu_t1_t3_t4.llm_plan_gen_dataset_accu_t4
[!IMPORTANT]
This is the training dataset for the ICAPS 2025 paper "Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation".
from pathlib import Path
import os
import jsonlines
from copy import deepcopy
from datasets import load_dataset
from icecream import ic
import enum
from enum import IntEnum
from enum import auto
class CONFIG_TYPES(enum.Enum):
# "type_id": ['t0', 'accu-t1', 'accu-t2', 'accu-t3', 'accu-t4', 'accu-t4', 'accu-t1+t4', 'accu-t2+t4']… See the full description on the dataset page: https://huggingface.co/datasets/huangsukai/llm_plan_gen_dataset_accu_t4.dstc11.t4
DSTC11: Dialogue System Technology Challenge 11
Track 4: Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems
This public dataset release contains multilingual and robustness data for building and evaluating automatic metrics for open-domain dialogue systems. It includes public train and development data, public evaluation templates, and auxiliary metadata. Held-out test data is not included in this public Hugging Face release.… See the full description on the dataset page: https://huggingface.co/datasets/mario-rc/dstc11.t4.llm_plan_gen_dataset_accu_t2_t4
[!IMPORTANT]
This is the training dataset for the ICAPS 2025 paper "Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation".
from pathlib import Path
import os
import jsonlines
from copy import deepcopy
from datasets import load_dataset
from icecream import ic
import enum
from enum import IntEnum
from enum import auto
class CONFIG_TYPES(enum.Enum):
# "type_id": ['t0', 'accu-t1', 'accu-t2', 'accu-t3', 'accu-t4', 'accu-t4', 'accu-t1+t4', 'accu-t2+t4']… See the full description on the dataset page: https://huggingface.co/datasets/huangsukai/llm_plan_gen_dataset_accu_t2_t4.llm_plan_gen_dataset_accu_t1_t4
[!IMPORTANT]
This is the training dataset for the ICAPS 2025 paper "Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation".
from pathlib import Path
import os
import jsonlines
from copy import deepcopy
from datasets import load_dataset
from icecream import ic
import enum
from enum import IntEnum
from enum import auto
class CONFIG_TYPES(enum.Enum):
# "type_id": ['t0', 'accu-t1', 'accu-t2', 'accu-t3', 'accu-t4', 'accu-t4', 'accu-t1+t4', 'accu-t2+t4']… See the full description on the dataset page: https://huggingface.co/datasets/huangsukai/llm_plan_gen_dataset_accu_t1_t4.TRAIN_T4_ER_FINALThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/asdl-unist/TRAIN_T4_ER_FINAL.atlas-of-judgment
Atlas of Judgment — ICLR Peer-Review Logic Units
1,420,178 atomic units of evaluative logic extracted from public ICLR peer
reviews (OpenReview), each decomposed into what was inspected → what was
observed → how it was reasoned about → what was concluded, and labeled with a
data-induced taxonomy of 12 objects of scrutiny × 12 epistemic standards.
This is the dataset behind the Atlas of Judgment
(interactive visual atlas). Full reproduction record — every script, model,
parameter… See the full description on the dataset page: https://huggingface.co/datasets/t46/atlas-of-judgment.raise-humancur-t4-fridge-s1llp-gold-37m-1.5m_T4096.0raise-randcur-t4-fridge-s1CaptchaSolve30k
CaptchaSolve30k - Human Mouse Movement Dataset
The largest open-source dataset of human task-specific mouse trajectories by session count and unique participants, with 30,000 discrete sessions from thousands of users. The first and only open dataset of complete human captcha-solving interactions with full behavioral replays.
Each session captures mouse/touch trajectories, timing data, and puzzle state at physics-tick resolution. Suitable for bot detection research… See the full description on the dataset page: https://huggingface.co/datasets/T40/CaptchaSolve30k.so100_t4This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "so100",
"total_episodes": 2,
"total_frames": 1052,
"total_tasks":1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"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/dc2ac/so100_t4.mem_agent-model_based-memagent-1-5b-step1024-docfinqa-train-c8192-t4096-1000s-agnosticdepth_cache_t4zs4_vggt
depth_cache/t4zs4_vggt
cable_depth のセル格子キャッシュ。学習時に --depth-cache へ渡す。
対応するデータセット
takeru01/task4zeroshot3
このキャッシュは (episode_index, frame_index) で引くので、同じエピソード構成・同じ長さのデータセットにしか使えない。
構成
backbone vggt
wrist_backbone da3
metric False
grid [8, 14] (gh, gw)
stride 2
episodes 210 範囲 (0, 209)
frames 160915
カメラと役割
camera_front static
camera_top… See the full description on the dataset page: https://huggingface.co/datasets/takeru01/depth_cache_t4zs4_vggt.depth_cache_t4zs4_da3
depth_cache/t4zs4_da3
cable_depth のセル格子キャッシュ。学習時に --depth-cache へ渡す。
対応するデータセット
takeru01/task4zeroshot3
このキャッシュは (episode_index, frame_index) で引くので、同じエピソード構成・同じ長さのデータセットにしか使えない。
構成
backbone da3
wrist_backbone da3
metric True
grid [8, 14] (gh, gw)
stride 2
episodes 210 範囲 (0, 209)
frames 160915
カメラと役割
camera_front static
camera_top static… See the full description on the dataset page: https://huggingface.co/datasets/takeru01/depth_cache_t4zs4_da3.t4_test3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 2,
"total_frames": 380,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:2"
},
"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/captianwu/t4_test3.t4_test2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 2,
"total_frames": 100,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:2"
},
"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/captianwu/t4_test2.mem_agent-bertscore-rl-memoryagent-14b-docfinqa-train-c4096-t4096-1000s-agnosticmem_agent-model_based-qwen3-1-5b-oldgrpo-2086-infbench-longbook-choice-test-c27000-t4096-10s-agnminesweeper-student-minekuk-qwen1.7b-continued-by-qwen3-4b-thinking-t4096-r16384mem_agent-model_based-rl-memoryagent-14b-infbench-longbook-qa-test-c31000-t4096-1000s-agnosticmem_agent-model_based-memagent-1-5b-step1024-infbench-longbook-qa-test-c8192-t4096-1000s-agnostimem_agent-model_based-qwen3-1-5b-oldgrpo-2086-infbench-code-debug-test-c27000-t4096-1000s-agnostmem_agent-model_based-memagent-1-5b-step1024-infbench-code-debug-test-c27000-t4096-10s-agnosticmem_agent-model_based-memagent-1-5b-separate-step720-infbench-code-debug-test-c27000-t4096-1000sllp-37m-ctx16-1.5M_T4.0mem_agent-model_based-memagent-1-5b-separate-step720-infbench-code-debug-test-c27000-t4096-10s-amem_agent-model_based-qwen3-1-5b-oldgrpo-2086-infbench-longbook-choice-test-c8192-t4096-1000s-agllama-3b-gold-15M-student-generations_SNIS_2048_tune422v1_N15.00M_T4.0mem_agent-model_based-rl-memoryagent-7b-infbench-code-debug-test-c8192-t4096-1000s-a-fullcontext