datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
africa-owid-access-to-clean-fuels-and-technologies-for-cooking
Access To Clean Fuels And Technologies For Cooking | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: other_unclassified - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-access-to-clean-fuels-and-technologies-for-cooking.pi-c0-c8-technique-dataset-clean_harmful_only_with_benign_tech2_self_reminder_v5_split70_30asia-owid-access-to-clean-fuels-and-technologies-for-cooking
Access To Clean Fuels And Technologies For Cooking | Asia (Our World in Data)
🌏 1,104 observations · 46 Asia countries · 2000–2023 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 1,104 observations of Access To Clean Fuels And Technologies For Cooking data across 46 Asia countries, spanning 2000–2023.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Access To Clean Fuels And… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-access-to-clean-fuels-and-technologies-for-cooking.tech-company-news-data-dump-clean
List of Company name and Description from HackerNoon Tech Companh Dataset
HackerNoon Tech Companh Dataset
Here is the code I use to transform
from datasets import load_dataset, Dataset
# Load the dataset
dataset = load_dataset('HackerNoon/tech-company-news-data-dump', split='train')
# Filter out rows where the "description" column is None or empty
filtered_dataset = dataset.filter(lambda x: x['description'] is not None and x['description'] != '')
# Extract the… See the full description on the dataset page: https://huggingface.co/datasets/pacozaa/tech-company-news-data-dump-clean.africa-owid-access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption
Access To Clean Fuels And Technologies For Cooking Vs Per Capita Energy Consumption | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: energy - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption.europe-owid-access-to-clean-fuels-and-technologies-for-cooking
Access To Clean Fuels And Technologies For Cooking | Europe (Our World in Data)
🇪🇺 984 observations · 41 Europe countries · 2000–2023 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 984 observations of Access To Clean Fuels And Technologies For Cooking data across 41 Europe countries, spanning 2000–2023.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Access To Clean Fuels… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-access-to-clean-fuels-and-technologies-for-cooking.pi-c0-c8-technique-dataset-clean_harmful_only_with_benign_tech2_self_reminder_v5genObjPick_bothArms_CLRWH_clean_1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 6,
"total_frames": 2083,
"total_tasks": 1,
"total_videos": 24,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:6"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/genObjPick_bothArms_CLRWH_clean_1.asia-owid-access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption
Access To Clean Fuels And Technologies For Cooking Vs Per Capita Energy Consumption | Asia (Our World in Data)
🌏 2,460 observations · 49 Asia countries · 1965–2024 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 2,460 observations of Access To Clean Fuels And Technologies For Cooking Vs Per Capita Energy Consumption data across 49 Asia countries, spanning 1965–2024.
About the source
Source: Our World in Data
Publisher: Our… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption.red_cube_into_white_box_v5_cleanThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"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/TECHIdesu/red_cube_into_white_box_v5_clean.pi-c0-c8-technique-dataset-clean_harmful_only_with_benign_tech2pi-c0-c8-technique-dataset-clean_harmful_only_with_benign_qwen_judge_originalpi-c0-c8-technique-dataset-clean_harmful_onlypi-c0-c8-technique-dataset-clean_harmful_only_with_benignpi-c0-c8-technique-dataset-cleaneurope-owid-access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption
Access To Clean Fuels And Technologies For Cooking Vs Per Capita Energy Consumption | Europe (Our World in Data)
🇪🇺 2,063 observations · 42 Europe countries · 1965–2024 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 2,063 observations of Access To Clean Fuels And Technologies For Cooking Vs Per Capita Energy Consumption data across 42 Europe countries, spanning 1965–2024.
About the source
Source: Our World in Data… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption.datathon-2025TTS_10s_clean_tech_style