datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
co2_energy_datachinese-clean-energy-battery-open-intelligence
🔬 Chinese Clean Energy, Battery Chemistry & Smart Grid Open Intelligence Dataset
Curated open intelligence dataset tracking authentic Chinese scientific breakthroughs in Solid-State Battery chemistry, Perovskite Solar cells, Ultra-High Voltage (UHV) power grids, and industrial decarbonization.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core quantitative takeaways, author… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-clean-energy-battery-open-intelligence.eagle3-speculative-decoding-energy-sweep
EAGLE3 Speculative Decoding Energy Sweep
Per-config energy/throughput/latency measurements for EAGLE3 speculative decoding
(speculative_num_steps, speculative_eagle_topk, speculative_num_draft_tokens)
served with sglang, across batch sizes. Collected for an RL project that learns to
pick speculative-decoding parameters to hold GPU energy utilization in a target band.
Model: unsloth/Llama-3.2-1B-Instruct + rescommons/SpecForge-EAGLE3-Llama-3.2-1B-Instruct draft head.
Hardware:… See the full description on the dataset page: https://huggingface.co/datasets/Pradheep1647/eagle3-speculative-decoding-energy-sweep.open-telco-energy-logs
Open-Telco Energy Logs
Per-model GPU energy measurements for 67 open-weight LLMs evaluated on the Open Telco benchmark suite. This is the raw data backing the energy and AMEI (AI Model Energy Index) tables in the AMEI paper.
Three measurement campaigns are included:
Campaign
Models
Hardware
Runtime
Suite
Samples/model
Schema
single_h100/
24
1×H100-80GB SXM
vLLM 0.8.5 (TP=1)
open_telco_5_benchmarks
1,400
v1.0
4x_h100/
35
4×H100-80GB SXM
vLLM 0.15.1 (TP=4)… See the full description on the dataset page: https://huggingface.co/datasets/emolero/open-telco-energy-logs.han-humanoid-energy-consumption-records-v1
Humanoid Energy Consumption Records (HECR)
Problem Definition
Energy efficiency is a key factor in industrial humanoid deployment.
This dataset captures execution parameters
and corresponding energy consumption metrics.
Features
task_type
payload_weight
movement_speed
torque_average
execution_time
ambient_temperature
Target
energy_consumption_kwh (float)
Use Cases
Energy prediction
Efficiency optimization
Cost reduction modeling… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-humanoid-energy-consumption-records-v1.ai-energy-futures-2026time_series_energyhan-humanoid-energy-efficiency-v1
Humanoid Energy Efficiency Dataset (HEED)
Description
This dataset records energy consumption metrics
for humanoid robots during repetitive task execution.
Features
task_type
payload_kg
speed_m_s
torque_index
execution_time_s
energy_kwh
Target
energy_kwh
Use Cases
Energy consumption prediction
Cost optimization
Efficiency modeling
Evaluation Metrics
MAE
RMSE
License
MIT
han-humanoid-energy-consumption-v1
Humanoid Energy Consumption Dataset
Overview
Dataset konsumsi energi humanoid saat menjalankan aktivitas.
Features
walking_speed_mps
payload_weight_kg
terrain_incline_deg
joint_activation_rate
ambient_temperature_celsius
Target
energy_consumption_joule
han-humanoid-energy-consumption-logs-v1
Humanoid Energy Consumption Logs
Overview
This dataset captures energy usage
metrics during humanoid task execution.
It supports research in power efficiency
and sustainable robotics deployment.
Data Fields
task_name
battery_level_start
battery_level_end
energy_consumption_percentage
recharge_required
Intended Use
Energy optimization modeling
Resource management research
Autonomous charging systems
License
MIT
han-humanoid-joint-energy-consumption-v1
Joint Energy Consumption Dataset
Description
Merekam konsumsi energi tiap sendi saat menjalankan tugas manipulasi.
Features
task_id (string)
joint_velocity_avg (float)
joint_torque_avg (float)
movement_duration_sec (float)
load_weight_kg (float)
Target
total_energy_consumption_joule (float)
Metrics
MAE, RMSE, R²
han-humanoid-energy-consumption-estimator-v1
Humanoid Energy Consumption Estimator (HECE)
Objective
Estimate energy consumption (kWh) during humanoid task execution.
Problem Type
Supervised Regression
Input Features
payload_kg
torque_index
execution_time_s
movement_speed_m_s
ambient_temperature_c
Output
predicted_energy_kwh
Model Architecture
Input feature encoder
3-layer feedforward neural network
Linear regression head
Training Configuration
Loss: MSE… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-humanoid-energy-consumption-estimator-v1.