datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
blue_sort_black_bg_colored_cups_v1_b04_03272026162426This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 20,
"total_frames": 7026,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:20"
},
"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/arjunsinghyadav2/blue_sort_black_bg_colored_cups_v1_b04_03272026162426.africa-morocco-taux-d-emploi-des-15-ans-et-plus-b0482d4c
Taux D Emploi Des 15 Ans Et Plus | Africa (Morocco Open Data)
7 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 7 rows from Morocco Open Data, covering Taux D Emploi Des 15 Ans Et Plus. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures
Official… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-morocco-taux-d-emploi-des-15-ans-et-plus-b0482d4c.aprm-sft_genthinkact-ENtw_cooking_game-GEaprm_qwen3_ap-SE42-REfsc_ms1-ap1-b044aprm-sft_thinkact-Eaprm_tw_tr_medium_hi-Gaprm_qwen3_ap_nobandit-S42-R0-ap1-train_all-b040
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_tw_treasure_medium_hi-gc=aprm_qwen3_ap_nobandit-tc=aprm_for_sft100-rbc=default-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=1-ao=1-ho=1-gs=8-bs=8-lr=4e_05-ns=4-s=42-r=0
run_cmd: main_pytorch.py --env_config act_prm/tw_treasure_medium_hi --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --replay_buffer_config default --log_path ./logs --no_fa2 --generator_config… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eaprm_tw_tr_medium_hi-Gaprm_qwen3_ap_nobandit-S42-R0-ap1-train_all-b040.b04_04stackofplates
b04_04stackofplates
This dataset was generated using a phospho starter pack.
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 and RLDS.
aprm-sft_thinkact-Eaprm_tw_tr_hard_hi-Gaprm_qwen3_ap_nobandit-S42-R0-ap1-train_all-b040
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_tw_treasure_hard_hi-gc=aprm_qwen3_ap_nobandit-tc=aprm_for_sft100-rbc=default-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=1-ao=1-ho=1-gs=8-bs=8-lr=4e_05-ns=4-s=42-r=0
run_cmd: main_pytorch.py --env_config act_prm/tw_treasure_hard_hi --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --replay_buffer_config default --log_path ./logs --no_fa2 --generator_config aprm_qwen3_ap_nobandit… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eaprm_tw_tr_hard_hi-Gaprm_qwen3_ap_nobandit-S42-R0-ap1-train_all-b040.act_pick_candyThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 20,
"total_frames": 12414,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:20"
},
"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/B04a01361/act_pick_candy.aprm-sft_genthinkact-ENact_prm_taubench_retail_500_fs1-GEaprm_qwen3_ap-SE42-RE0-ap1-b049tissue_box_demos_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 1,
"total_frames": 822,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:1"
},
"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/B04a01361/tissue_box_demos_v1.aprm-sft_thinkact-Eaprm_tw_tr_medium_hi-Gaprm_qwen3_ap-S42-R0-ap1-train_all-b040
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_tw_treasure_medium_hi-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=1-ao=1-ho=1-gs=8-bs=8-lr=4e_05-ns=4-s=42-r=0
run_cmd: main_pytorch.py --env_config act_prm/tw_treasure_medium_hi --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --replay_buffer_config default --log_path ./logs --no_fa2 --generator_config aprm_qwen3_ap --trainer_config… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eaprm_tw_tr_medium_hi-Gaprm_qwen3_ap-S42-R0-ap1-train_all-b040.act_tissue_box_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 10,
"total_frames": 7592,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:10"
},
"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/B04a01361/act_tissue_box_v2.aprm-sft_genthinkact-ENact_prm_snorkel_finance-GEaprm_qwen3_ap-SE42-REgen0_s1-ap1-b049aprm-sft_thinkact-Eaprm_tw_tr_hard_hi-Gaprm_qwen3_ap-S42-R0-ap1-train_all-b040
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_tw_treasure_hard_hi-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=1-ao=1-ho=1-gs=8-bs=8-lr=4e_05-ns=4-s=42-r=0
run_cmd: main_pytorch.py --env_config act_prm/tw_treasure_hard_hi --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --replay_buffer_config default --log_path ./logs --no_fa2 --generator_config aprm_qwen3_ap --trainer_config… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eaprm_tw_tr_hard_hi-Gaprm_qwen3_ap-S42-R0-ap1-train_all-b040.aprm-sft_genthinkact-ENact_prm_snorkel_finance-GEaprm_qwen3_ap-SE42-REgen0_s1-ap1-b044aprm-sft_thinkact-Eaprm_taubench_retail_100_fs1-Gaprm_qw3_ap-S42-R1r1e03_bs4_gs4-ap1-b049aprm-sft_thinkact-Eaprm_tw_tr_medium_hi-Gaprm_qwen3_ap-S42-R1_ns4_alo0-ap1-train_all-b040
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_tw_treasure_medium_hi-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-alo=0-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=0-ao=1-ho=1-gs=8-bs=8-lr=4e_05-ns=4-s=42-r=1_ns4_alo0
run_cmd: main_pytorch.py --env_config act_prm/tw_treasure_medium --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --generator_config aprm_qwen3_ap --trainer_config aprm_for_sft100 --replay_buffer_config… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eaprm_tw_tr_medium_hi-Gaprm_qwen3_ap-S42-R1_ns4_alo0-ap1-train_all-b040.aprm-sft_thinkact-Efinqa_reasoning-Gaprm_qwen3_ap-S1-Rfinqa_aprm_0-ap1-train_all-b040
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_finqa_reasoning_gpt5m-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-msl=4096-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=0-ao=1-ho=1-eec=finqa_reasoning-gs=8-bs=8-lr=4e_05-ns=4-s=1-r=finqa_aprm_0
run_cmd: main_pytorch.py --env_config act_prm/finqa_reasoning_gpt5m --eval_env_config finqa/reasoning --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --generator_config aprm_qwen3_ap… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Efinqa_reasoning-Gaprm_qwen3_ap-S1-Rfinqa_aprm_0-ap1-train_all-b040.aprm-sft_thinkact-Efinqa_reasoning-Gaprm_qw3_ap-S1-Rfinqa_aprm_1_mc-ap1-best-train_all-b040
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_finqa_reasoning_gpt5m-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-msl=4096-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=0-ao=1-ho=1-eec=finqa_reasoning-mc=1-gs=8-bs=8-lr=4e_05-ns=4-s=1-r=finqa_aprm_1_mc
run_cmd: main_pytorch.py --env_config act_prm/finqa_reasoning_gpt5m --eval_env_config finqa/reasoning --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --generator_config… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Efinqa_reasoning-Gaprm_qw3_ap-S1-Rfinqa_aprm_1_mc-ap1-best-train_all-b040.aprm-sft_thinkact-Eact_prm_tw_coin_easy_sp-Gnobandit_aprm_qwen3_ap-S0-R1-train_eval-b049
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-cc-isas=0-reru=0-enco=act_prm_tw_coin_easy_sp-geco=nobandit_aprm_qwen3_ap-trco=aprm_for_sft100-moco=hf_qwen3_4b_inst_2507-loco=r8_a16_qkvo-acon=1-hiob=1-mato=64-grsi=8-basi=8-lera=0_0001-nusu=4-se=0-re=1
run_cmd: main_pytorch.py --project_name act-prm-cc --env_config act_prm/tw_coin_easy_sp --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --generator_config nobandit_aprm_qwen3_ap --trainer_config… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eact_prm_tw_coin_easy_sp-Gnobandit_aprm_qwen3_ap-S0-R1-train_eval-b049.aprm-sft_genthinkact-ENact_prm_taubench_retail_500_fs1-GEaprm_qwen3_ap-SE42-REv10-ap1-b049aprm-sft_thinkact-Eaprm_tw_tr_easy_gpt5m-Gaprm_qwen3_ap-S0-Rgpt5m_0-ap1-train_all-b040
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_tw_treasure_easy_gpt5m-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=1-ao=1-ho=1-gs=8-bs=8-lr=4e_05-ns=4-s=0-r=gpt5m_0
run_cmd: main_pytorch.py --env_config act_prm/tw_treasure_easy_gpt5m --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --replay_buffer_config default --log_path ./logs --no_fa2 --generator_config aprm_qwen3_ap… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eaprm_tw_tr_easy_gpt5m-Gaprm_qwen3_ap-S0-Rgpt5m_0-ap1-train_all-b040.aprm-sft_thinkact-Eact_prm_taubench_retail_100_fs1-Gaprm_qwen3_ap-S42-R4e5_gs4-ap1-b049aprm-sft_thinkact-Einsurance_default-G1-S1-Rinsurance_aprm_1_mc-ap1-train_all-b040
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_insurance_gpt5m-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-msl=4096-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=0-gc=1-ao=1-ho=1-eec=insurance_default-mc=1-gs=1-bs=16-lr=4e_05-ns=4-s=1-r=insurance_aprm_1_mc
run_cmd: main_pytorch.py --env_config act_prm/insurance_gpt5m --eval_env_config insurance/default --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --generator_config… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Einsurance_default-G1-S1-Rinsurance_aprm_1_mc-ap1-train_all-b040.aprm-sft_genthinkact-ENtw_cooking_game-GEaprm_qwen3_ap-SE42-REfsc4-ap1-b049aprm-sft_genthinkact-ENact_prm_snorkel_finance_fs1-GEaprm_qwen3_ap-SE42-REgen0_s1-ap1-b044aprm-sft_genthinkact-ENact_prm_snorkel_finance_fs1-GEaprm_qwen3_ap-SE42-REgen0_s1-ap1-b049aprm-sft_genthinkact-ENact_prm_snorkel_finance_fs1-GEaprm_qwen3_ap-SE42-REv10-ap1-b049aprm-sft_thinkact-Eact_prm_tw_treasure_easy_sp-Gnobandit_aprm_qwen3_ap-S42-R0-ap1-b049aprm-sft_thinkact-Eact_prm_tw_coin_easy_sp-Gaprm_qwen3_ap-S42-R0-train_eval-b049
Act-PRM Rollout Dataset
Run Metadata
run_name: act-prm-cc-isas=0-reru=0-enco=act_prm_tw_coin_easy_sp-geco=aprm_qwen3_ap-trco=aprm_for_sft100-moco=hf_qwen3_4b_inst_2507-loco=r8_a16_qkvo-acon=1-hiob=1-grsi=8-basi=8-lera=0_001-nusu=4-se=42-re=0
run_cmd: main_pytorch.py --project_name act-prm-cc --env_config act_prm/tw_coin_easy_sp --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --generator_config aprm_qwen3_ap --trainer_config aprm_for_sft100… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eact_prm_tw_coin_easy_sp-Gaprm_qwen3_ap-S42-R0-train_eval-b049.aprm-sft_genthinkact-ENtw_treasure_hunter-GEaprm_qwen3_ap-SE0-REfsc4-ap1_best-b040
