datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tool-call-efficiency
tool-call-efficiency
Teach an agent to make every tool call count.
An agent that calls a tool twice with the same arguments, looks up what
the user just told it, or keeps calling after the task is done is slow,
expensive, and harder to trust. Ask a base Qwen3-4B to work through
1,133 tool-using tasks across six agents and it does this a lot:
only 52% of its 6,681 rollouts finish the
task with no wasted or skipped call, and 6%
repeat a call that had already succeeded. This… See the full description on the dataset page: https://huggingface.co/datasets/while-ai/tool-call-efficiency.agent-ui-efficiency-scores
Agent UI Efficiency Scores
Flat lab-synthetic bakeoff table for the public question in akashnaren/agent-ui-metrics: which agent UI is cheapest for a given lab task?
Author
Akash Premkumar (akashnaren)
License
Apache-2.0
Hub files
train.jsonl (63), test.jsonl (14), optional scores.jsonl (77 full)
Related
agent-ui-sft, agent-ui-human, ui-mode-router, agent-ui-mode-pairs
Scope
Rows are original lab fiction for a public agent-UI research… See the full description on the dataset page: https://huggingface.co/datasets/akashnaren/agent-ui-efficiency-scores.douvras-bitnet-ptbr-efficiency
Douvras BitNet PT-BR Efficiency Benchmark
Benchmark sintético de roteamento de workloads para avaliar posteriormente BitNet, Qwen,
SmolLM e Tucano em português brasileiro. Esta versão contém zero medições de GPU, RAM,
energia, latência ou qualidade; os registros carregam measured: false. O test está congelado
e as famílias não atravessam os splits.
O dataset não contém pesos de modelos, dados pessoais ou conteúdo de terceiros.
tac-closing-efficiency-sft
TAC closing-efficiency slice
500 synthetic multi-turn tool-use trajectories that teach an agent to close bookings decisively — the welfare-neutral capability piece of the tool-use SFT mix used to train somaxsoma/qwen2.5-7b-tac-recovery-sft.
What it teaches
Built to fix the dominant failure mode observed on the TAC benchmark — the model reformulating search keywords in a loop and never closing a booking. Three patterns:
settle/browse (200): after failed keyword… See the full description on the dataset page: https://huggingface.co/datasets/somaxsoma/tac-closing-efficiency-sft.HET_Transfer_Orbit_Efficiency
HET Transfer Orbit Efficiency Dataset
Overview
This dataset encapsulates vital metrics relevant to understanding how space weather affects the operation and efficiency of Hall Effect Thrusters (HETs) used in spacecraft transfer orbits. These thrusters, which use noble gases, are crucial for precise maneuvering and station-keeping in space missions.
Dataset Description
The dataset comprises various parameters recorded during the operation of HETs operating in… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/HET_Transfer_Orbit_Efficiency.reasoning_efficiency
Reasoning Efficiency Evaluation Artifact
Anonymous review dataset accompanying the NeurIPS 2026 Evaluations & Datasets submission
“Diagnosing Reasoning Efficiency with Trace-Optional Evaluation”.
The artifact contains benchmark instances, raw visible model outputs, token/count metadata,
correctness and truncation flags, native workload metadata, derived model-level metrics,
and decomposition tables used by the paper.
Files
instances/*.jsonl.gz: benchmark prompts, gold… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-efficiency-authors/reasoning_efficiency.han-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-execution-efficiency-metrics-v1
Humanoid Execution Efficiency Metrics (HEEM)
Abstract
HEEM provides structured execution performance
metrics after decision adjustments.
It supports research on efficiency optimization,
latency minimization, and stability control.
Fields
task_id
energy_consumption_index
actuator_stability_score
task_completion_time
efficiency_score
error_margin
Intended Research
Execution optimization
Energy-aware robotics
Stability-efficiency tradeoff modeling… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-humanoid-execution-efficiency-metrics-v1.han-humanoid-navigation-efficiency-v1
Humanoid Navigation Efficiency Dataset
Description
Dataset berisi metrik navigasi humanoid
untuk mengukur efisiensi pergerakan di lingkungan indoor.
Features
path_length_meter (float)
obstacle_count (int)
average_turn_angle_deg (float)
speed_meter_per_sec (float)
energy_used_joule (float)
Target
navigation_efficiency_score (0-1)
Task
Regression
Metrics
MAE, RMSE, R²
efficiency-ranking
Efficiency Ranking
Models ranked by tokens-per-second per MB of file size. Higher = more efficient.
🚀 dispatchAI