datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Exercise-Synthetic-split-ncert-chapter-mapped_filtered_difficulty_scoredomx_f_exercise_0415This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "omx_f",
"total_episodes": 30,
"total_frames": 5869,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:30"
},
"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/dream-79/omx_f_exercise_0415.coding_exercises_filtered
Dataset Card for "coding_exercises_filtered"
Coding exercises generated by gpt, then filtered. This has a lot of duplicates - would not recommend using as is.
cfa_extracted_exercise_sup_sample_from_policy_v1.1_genrm_qwen3-32b_dpo_binarized_filtered_2048cfa_extracted_exercise_sup_sample_from_policy_v1.1_genrm_qwen3-32b_stepwise_dpo_binarizedcfa_extracted_exercise_sup_sample_from_policy_v1.1_genrm_qwen3-32b_dpo_binarized_filter2048cfa_extracted_exercise_sup_sample_from_policy_v1.1_stepwise_dpo_binarizedcfa_extracted_exercise_sup_sample_from_policy_v1.1_genrm_qwen3-32b_stepwise_dpo_binarized_F2048cfa_extracted_exercise_sup_sample_from_policy_v1.1_stepwise_dpo_binarized_filtered_2048gym_exercise_data_translatedcfa_extracted_exercise_sup_sample_from_policy_v1.1_genrm_qwen3-32b_dpo_binarizedcfa_extracted_exercise_sup_sample_from_policy_v1.1_dpo_binarizedcfa_extracted_exercise_sup_sample_from_policy_v1.1_dpo_binarized_filtered_2048cfa_extracted_exercise_sup_sample_from_policy_v1.1_genrm_qwen3-32b_dpo_binarized_F2048prml-exercisesafrica-sudan-sudan-el-fasher-durable-solutions-profiling-exercise-cc4e948b
Sudan-El Fasher Durable Solutions Profiling Exercise | Africa (Sudan official open data)
22,107 rows - 1 Africa country - 2019 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Sudan as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Sudan-El Fasher Durable Solutions… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-sudan-sudan-el-fasher-durable-solutions-profiling-exercise-cc4e948b.AS_dolly_prompt_watermark_exercise_finalalgebra_exercises_v4_11_0_filteredalgebra_exercises_v4_11_0_cleaner