LeBoard

LeBoard

91 LeRobot v3 datasets · 4,919 hours · 1.4B camera frames decoded, none sampled · every row pinned to a commit SHA

revision Recorded robot time: Parquet timesteps ÷ dataset fps. Counted once per timestep, not once per camera. Method → Share of frames from live episode cameras that are almost entirely one flat black or white value. A camera blank for a whole episode is counted as absent, shown underneath, not as a dropout. Method →lower is betterShare of camera frames inside an interval at least 0.5 s long where the image is much blurrier than that camera's typical frame. Method →lower is betterShare of camera frames inside an interval at least 0.5 s long where 60% or more of the pixels are near-black. Method →lower is betterShare of camera frames inside an interval at least 1 s long where the video repeats the exact same image. Method →lower is betterShare of assessed episode-camera pairs whose metadata video length disagrees with the Parquet frame count by more than 1 frame. A hatched cell with * means only some pairs could be assessed (the small number shows how many); the rest are unknown, not clean. –* means none could be assessed. Method →lower is betterEpisodes flagged by any episode check: actions that never change, a robot that barely moves, non-finite values, broken row indexes or timestamp gaps. The count is on top, its share of assessed episodes underneath. Method →lower is better
abc 130k v3 trainlerobot/abc_130k_v3_train yam_bimanual68651e49 129,225 3,541 1.1B <0.1%<0.1% absent<0.1%<0.1%000
droid 1.0.1lerobot/droid_1.0.1 Franka0eabc778 95,658 512 82.9M <0.1%<0.1% absent3.0%0.4%001,177*1.2%382 unassessed
robocasa target human unifiedlerobot/robocasa_target_human_unified robocasaa1c7cba1 25,307 208 44.9M 02.4%<0.1%0.1%00
full foldinglerobot/full_folding openarms_follower6ae73269 5,688 131 42.4M <0.1%<0.1% absent1.3%2.3%0.3%01<0.1%
BridgeData2nvidia/BridgeData2_LeRobot_v3 unknownb96f7216 50,415 100 7.2M 047.0% absent0.5%0002*<0.1%9 unassessed
vlabench unifiedlerobot/vlabench_unified frankaf61ad898 10,977 87 9.3M <0.1%<0.1%0<0.1%00
RoboTwin Unifiedlerobot/robotwin_unified aloha12878718 27,500 56 18.2M 03.2%<0.1%000
abc 130k v3 vallerobot/abc_130k_v3_val yam_bimanual46ca817c 1,592 47 15.2M 0<0.1%<0.1%000
xvla-soft-foldlerobot/xvla-soft-fold frankad4d21992 1,542 40 8.6M 01.0%0000
libero pluslerobot/libero_plus pandaf3f49f42 14,347 31 4.5M 011.8%0.2%<0.1%00
High Quality Foldinglerobot/high_quality_folding openarms_followerc9eb858d 1,200 30 9.8M <0.1%0.3%0.4%0.2%00
cmu play fusionlerobot/cmu_play_fusion unknown7e71e26a 576 13 235.9k 000000
stanford hydra datasetlerobot/stanford_hydra_dataset unknownff063837 570 10.0 716.5k <0.1%2.8%<0.1%0.6%–*0 / 1,140 assessed0
fmblerobot/fmb unknown76c86f11 1,804 9.4 1.4M 000000
robocerebra unifiedlerobot/robocerebra_unified franka279f0bca 6,660 7.9 1.1M 0<0.1%0000*204 unassessed
LIBEROlerobot/libero pandaa1aaacb7 1,693 7.6 546.9k 01.8%0000
stanford robocooklerobot/stanford_robocook unknown49337d01 2,460 6.3 451.9k 0000–*0 / 9,840 assessed0
berkeley autolab ur5lerobot/berkeley_autolab_ur5 unknownc4e26a69 1,000 5.4 293.8k 02.3%000*1,000 / 3,000 assessed0
roboturklerobot/roboturk unknownd38c9190 1,995 5.2 187.5k 01.5%0001*0.1%52 unassessed
utaustin mutexlerobot/utaustin_mutex unknowna880eaee 1,500 5.0 723.8k 07.0%<0.1%00*1,500 / 3,000 assessed0
austin sailor datasetlerobot/austin_sailor_dataset unknown50985d8a 240 4.9 706.2k 05.2%000*240 / 480 assessed0
libero 10 subtasklerobot/libero_10_subtask libero_panda66a4f67d 500 3.8 276.2k 01.7%0000
ucsd pick and place datasetlerobot/ucsd_pick_and_place_dataset unknown5af7ee80 1,355 3.8 67.8k 01.2%<0.1%000
uiuc d3fieldlerobot/uiuc_d3field unknown6400996f 192 3.7 53.5k 0000011*5.9%5 unassessed
berkeley rptlerobot/berkeley_rpt unknown692eff9f 908 3.6 392.6k 016.3%00–*0 / 908 assessed0
totolerobot/toto unknown51f5a8dc 1,003 3.0 325.7k 000<0.1%–*0 / 1,003 assessed0
abc 130k v3 smokelerobot/abc_130k_v3_smoke yam_bimanualb342a0ff 85 2.9 939.3k <0.1%<0.1%0000
libero 10lerobot/libero_10 panda551d7d86 379 2.8 202.9k 01.9%0000
berkeley mvplerobot/berkeley_mvp unknown076135b9 480 2.5 45.3k 000000
nyu franka play datasetlerobot/nyu_franka_play_dataset unknown3b2367d0 456 2.5 89.8k 000<0.1%00*2 unassessed
jaco playlerobot/jaco_play unknown265773f4 1,085 2.2 155.9k 00.9%0000
stanford kuka multimodal datasetlerobot/stanford_kuka_multimodal_dataset unknown93927d10 3,000 2.1 150.0k 000000
iamlab cmu pickup insertlerobot/iamlab_cmu_pickup_insert unknown5806e104 631 2.0 292.5k 02.5%0000
austin buds datasetlerobot/austin_buds_dataset unknownd9f9289c 50 1.9 68.2k 013.6%<0.1%000
nyu door opening surprising effectivenesslerobot/nyu_door_opening_surprising_effectiveness unknown4ae8986f 484 1.9 20.4k 01.2%0000
utokyo pr2 tabletop manipulationlerobot/utokyo_pr2_tabletop_manipulation unknowna0b69188 240 1.8 32.7k 000000
berkeley fanuc manipulationlerobot/berkeley_fanuc_manipulation unknown51bdefb6 415 1.7 125.2k 0<0.1%0000
asu table toplerobot/asu_table_top unknown8067c851 110 1.5 26.1k 000000
cmu stretchlerobot/cmu_stretch unknownd8457423 135 1.4 25.0k 000000
SO101 coffee subtask 2aailabkaist/so101_coffee_subtask_2 so_follower7d498de9 486 1.2 413.1k 07.4%0060.2%*402 / 972 assessed0
berkeley cable routinglerobot/berkeley_cable_routing unknown20a7774a 1,647 1.2 169.3k 000000*69 unassessed
piper-collectlerobot/piper-collect piper4d0152e5 212 1.1 247.5k 00.1%007.4%*216 / 424 assessed41.9%
kaist nonprehensilelerobot/kaist_nonprehensile unknownf12d4385 201 0.9 32.4k 0<0.1%0000
columbia cairlab pusht reallerobot/columbia_cairlab_pusht_real unknown66482aa1 136 0.8 55.6k 000000
dlr sara pourlerobot/dlr_sara_pour unknown4246fa61 100 0.7 13.0k 000000
aloha mobile cabinetlerobot/aloha_mobile_cabinet aloha7a752b39 85 0.7 382.5k 02.0%0000
utokyo pr2 opening fridgelerobot/utokyo_pr2_opening_fridge unknown47504c67 80 0.6 11.5k 000000
aloha mobile chairlerobot/aloha_mobile_chair aloha95a969f8 55 0.6 330.0k 01.7%00–*0 / 165 assessed0
droid 100lerobot/droid_100 unknown87301a2d 100 0.6 96.6k 02.9%0.7%000*1 unassessed
dlr edan shared controllerobot/dlr_edan_shared_control unknown2e7a7879 104 0.5 8.9k 000000
dlr sara grid clamplerobot/dlr_sara_grid_clamp unknown1470122a 107 0.4 7.6k 000000
aloha static coffee newlerobot/aloha_static_coffee_new alohaa6e434c0 50 0.4 300.0k 00.3%000*150 / 200 assessed0
aloha mobile shrimplerobot/aloha_mobile_shrimp aloha6e828202 18 0.4 202.5k 01.4%0000
koch pick place 1 legolerobot/koch_pick_place_1_lego unknownafc0b3e5 102 0.4 79.4k 000000
aloha mobile wipe winelerobot/aloha_mobile_wipe_wine alohab57bde2a 50 0.4 195.0k 01.8%000*100 / 150 assessed0
koch pick place 5 legolerobot/koch_pick_place_5_lego unknownaf1f4ff7 50 0.4 75.9k 01.0%01.0%00
koch pick place 5 lego random poselerobot/koch_pick_place_5_lego_random_pose unknowne4c9188d 50 0.3 72.3k 00002.2%*92 / 100 assessed0
aloha static fork pick uplerobot/aloha_static_fork_pick_up unknown6fa573d7 100 0.3 240.0k 00.3%0000
svla so100 sortinglerobot/svla_so100_sorting so10013870ca9 52 0.3 71.4k 0000023.8%
aloha static coffeelerobot/aloha_static_coffee alohab144896f 50 0.3 220.0k 0<0.1%0000
aloha mobile wash panlerobot/aloha_mobile_wash_pan aloha2d7d8593 50 0.3 165.0k 03.4%000*100 / 150 assessed0
koch pick place 1 lego raphlerobot/koch_pick_place_1_lego_raph unknown1e7afb66 100 0.3 65.9k 000000
aloha static vinh cup leftlerobot/aloha_static_vinh_cup_left alohadab1a675 100 0.3 200.0k 00.7%0000
aloha static vinh cuplerobot/aloha_static_vinh_cup aloha1dcb5a15 101 0.3 182.0k 00.6%0000
aloha mobile elevatorlerobot/aloha_mobile_elevator aloha015f899e 20 0.2 135.0k 00.6%0000
ucsd kitchen datasetlerobot/ucsd_kitchen_dataset unknownfd7751e3 150 0.2 4.0k 000000
svla so100 stackinglerobot/svla_so100_stacking so100933bcc61 56 0.2 45.9k 000002*3.8%3 unassessed
utokyo xarm pick and placelerobot/utokyo_xarm_pick_and_place unknownda56c23e 102 0.2 22.5k 02.6%0000
aloha static candylerobot/aloha_static_candy aloha6728831e 50 0.2 140.0k 000000
aloha static tapelerobot/aloha_static_tape unknown92955878 50 0.2 140.0k 00.1%0000
aloha static thread velcrolerobot/aloha_static_thread_velcro unknown0c821c87 49 0.2 137.2k 00.1%0000
svla so100 pickplacelerobot/svla_so100_pickplace so100728583b5 50 0.2 39.3k 000000
aloha static batterylerobot/aloha_static_battery unknown06dc3da8 49 0.2 117.6k 00.4%0000
aloha static towellerobot/aloha_static_towel aloha13ad96f5 50 0.1 100.0k 000000
aloha sim insertion humanlerobot/aloha_sim_insertion_human alohacc571a3c 50 0.1 25.0k 000000
aloha static cups openlerobot/aloha_static_cups_open alohad793c969 50 0.1 80.0k 000000
aloha static screw driverlerobot/aloha_static_screw_driver aloha21eead16 50 0.1 80.0k 03.2%0000
aloha sim insertion scriptedlerobot/aloha_sim_insertion_scripted aloha8ab66091 50 0.1 20.0k 000000
aloha sim transfer cube humanlerobot/aloha_sim_transfer_cube_human aloha6a43d500 50 0.1 20.0k 000000
aloha sim transfer cube scriptedlerobot/aloha_sim_transfer_cube_scripted alohac5467ba9 50 0.1 20.0k 000000
svla so101 pickplacelerobot/svla_so101_pickplace so100_followerf641879e 50 0.1 23.9k 000000
unitreeh1 fold clotheslerobot/unitreeh1_fold_clothes unknowna0926b4d 38 0.1 37.5k 00.1%000*38 / 76 assessed0
aloha static ziploc slidelerobot/aloha_static_ziploc_slide alohaef8fef75 56 0.1 67.2k 000000
conq hose manipulationlerobot/conq_hose_manipulation unknowna7e212c5 139 0.1 24.8k <0.1%0.8%0000*42 unassessed
unitreeh1 warehouselerobot/unitreeh1_warehouse unknownc5bbea3c 24 0.1 22.6k 000000
aloha static pro pencillerobot/aloha_static_pro_pencil aloha94650b0e 25 0.0 35.0k 07.8%0000
utokyo xarm bimanuallerobot/utokyo_xarm_bimanual unknown13533b96 70 0.0 1.5k 000000*36 unassessed
unitreeh1 rearrange objectslerobot/unitreeh1_rearrange_objects unknowne874d89b 30 0.0 14.3k 000000
aloha static pingpong testlerobot/aloha_static_pingpong_test alohafb29aadd 10 0.0 24.0k 000000
unitreeh1 two robot greetinglerobot/unitreeh1_two_robot_greeting unknown51d65cfa 30 0.0 7.5k 000000
example hil serl datasetlerobot/example_hil_serl_dataset unknown828ec536 15 0.0 608 000000

Each number is a share of what the scan measured, so lower is better. Hatched* cells could only be partly assessed: the rest is unknown, not clean. Shaded cells are the highest values in their column. Each check measures something different, so there is no overall score. How each metric is computed → · Missing a dataset? Request a scan →