datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dclm-train-1.64m-tsp-efficientrepro-learning-to-share-selective-memory-for-efficient-parallel-agentic-systems-traces
Agent traces
Agent sessions published from a Trackio Logbook.
E2AM_EfficientNetV2_S
E2AM Ablation Results: EfficientNetV2-S
Energy-aware training ablation study for EfficientNetV2-S across three image-classification datasets: CIFAR-10, CIFAR-100, and Tiny-ImageNet.
Each dataset has 15 training variants (8 individual-method M0..M7, 7 cumulative ablation C0..C6) at 50 epochs, plus a 5-variant deployment pipeline (FP32 baseline, structured pruning, pruning+finetune, INT8 quantization, pruned+INT8).
Status: 45 completed variants, 0 partial.
Quick links… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_EfficientNetV2_S.efficient-team-4a18b8
efficient-team-4a18b8
Synthetic weather test data: 57 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/SableField/efficient-team-4a18b8.efficient-llm-papers
Efficient LLM Papers — FineSet
A research-paper dataset on Efficient LLM Papers, assembled, deduplicated, and quality-scored by
FineSet from arXiv and Semantic Scholar.
📸 This is a dated snapshot — generated 2026-06-12.
It is not auto-updated. Research on Efficient LLM Papers moves fast — new papers land on arXiv every
week. Want this same dataset refreshed daily, on a topic you choose? See the bottom. ↓
Why this dataset
Quality-scored: quality_score float… See the full description on the dataset page: https://huggingface.co/datasets/fineset-io/efficient-llm-papers.repro-efficient-inference-for-noisy-llm-as-a-judge-evaluation-traces
Agent traces
Agent sessions published from a Trackio Logbook.
repro-from-prior-to-pro-efficient-skill-mastery-via-distribution-contractive-rl-traces
Agent traces
Agent sessions published from a Trackio Logbook.
efficientnet_b0_b7_comparison_4000_rowsefficient_yoloThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {},
"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/qownscks/efficient_yolo.Evaluation_andreasmadsen-efficient_mlm_m0.40Evaluation_Loraandreasmadsen-efficient_mlm_m0.40tiny-imagenet_ee-efficientnet-b2Dataset-EfficientDrivingTimeDeterminationSystemimport re
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
from sklearn.preprocessing import LabelEncoder
from google.colab import drive
from sklearn.tree import export_text
from sklearn.metrics import accuracy_score
1. Mount Google Drive
drive.mount('/content/drive')
2. Baca file Excel
file_path = '/content/drive/MyDrive/Colab Notebooks/AI_GACOR_Cleaned.xlsx'
data = pd.read_excel(file_path)
3. Encode kolom 'Hari'
label_encoder_hari =… See the full description on the dataset page: https://huggingface.co/datasets/jellysquish/Dataset-EfficientDrivingTimeDeterminationSystem.