datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
N4_slice
30-Day Canonical Tav RGC N4 Lattice & Telemetry Slices
253 prospect-named windows · parti-wave/N4_slice
Resonance Graph Core (RGC) v0.2 · 49-core logistic substrate · paired data & session logs
This dataset contains 253 overlapping time windows cut from a continuous 30-day logistic-map characterization run of a 49-core Resonance Graph Core (RGC) on a Digilent Arty A7-100T FPGA, plus the matching windows from the companion session log.
Each data slice and each log slice carries… See the full description on the dataset page: https://huggingface.co/datasets/parti-wave/N4_slice.wave-propagation-1d
Wave1D-Propagation — StructBench canonical dataset
Download
One case, one file — fetch exactly what you need (pip install huggingface_hub):
from huggingface_hub import hf_hub_download, snapshot_download
# one case
path = hf_hub_download("StructBench/wave-propagation-1d",
filename="<case_id>.h5", repo_type="dataset")
# the full archive (resumable; cached under HF_HOME)
root = snapshot_download("StructBench/wave-propagation-1d"… See the full description on the dataset page: https://huggingface.co/datasets/StructBench/wave-propagation-1d.SiN-photonic-waveguide-loss-efficiency
💎 SiN Photonic Waveguide Loss & Efficiency Dataset
🔬 90,000 synthetic rows of silicon nitride (Si₃N₄) waveguide parameters linking geometry, fabrication, and operating conditions to loss and efficiency metrics, for regression modeling, simulation, and fine-tuning.
⚠️ Disclaimer: All rows are synthetically generated. Parameter ranges are informed by published SiN platform values, but no row is a foundry measurement. The data_source column is a schema field; every row in this… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/SiN-photonic-waveguide-loss-efficiency.GreenHyperSpectra
🌱 GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction 🌱
GreenHySpectra is a collection of hyperspectral reflectance data of vegetation from different sources. It is intended for Regression machine learning task for plant trait prediction with self and semi-supervised learning.
Spatial coverage
📁 Configurations
1. GreenHyperSpectra: Unlabeled set
Files: all CSVs under unlabeled/… See the full description on the dataset page: https://huggingface.co/datasets/waveyellow/GreenHyperSpectra.hhs-covid-19-monthly-outcome-survey-wave-03
HHS COVID-19 Monthly Outcome Survey - Wave 03
Description
The Monthly Outcome Survey (MOS) was designed to assess COVID-19 vaccine uptake as well as beliefs, intentions, and behaviors relevant to COVID-19 vaccination at a point in time. The survey fielded on a monthly basis from January 2021 to April 2023. When the MOS first launched, it focused on the primary series of COVID-19 vaccines; in later waves, it was expanded to assess parents’ intentions to get their children… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/hhs-covid-19-monthly-outcome-survey-wave-03.hhs-covid-19-monthly-outcome-survey-wave-10
HHS COVID-19 Monthly Outcome Survey - Wave 10
Description
The Monthly Outcome Survey (MOS) was designed to assess COVID-19 vaccine uptake as well as beliefs, intentions, and behaviors relevant to COVID-19 vaccination at a point in time. The survey fielded on a monthly basis from January 2021 to April 2023. When the MOS first launched, it focused on the primary series of COVID-19 vaccines; in later waves, it was expanded to assess parents’ intentions to get their children… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/hhs-covid-19-monthly-outcome-survey-wave-10.hhs-covid-19-monthly-outcome-survey-wave-23
HHS COVID-19 Monthly Outcome Survey - Wave 23
Description
The Monthly Outcome Survey (MOS) was designed to assess COVID-19 vaccine uptake as well as beliefs, intentions, and behaviors relevant to COVID-19 vaccination at a point in time. The survey fielded on a monthly basis from January 2021 to April 2023. When the MOS first launched, it focused on the primary series of COVID-19 vaccines; in later waves, it was expanded to assess parents’ intentions to get their children… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/hhs-covid-19-monthly-outcome-survey-wave-23.hhs-covid-19-monthly-outcome-survey-wave-14
HHS COVID-19 Monthly Outcome Survey - Wave 14
Description
The Monthly Outcome Survey (MOS) was designed to assess COVID-19 vaccine uptake as well as beliefs, intentions, and behaviors relevant to COVID-19 vaccination at a point in time. The survey fielded on a monthly basis from January 2021 to April 2023. When the MOS first launched, it focused on the primary series of COVID-19 vaccines; in later waves, it was expanded to assess parents’ intentions to get their children… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/hhs-covid-19-monthly-outcome-survey-wave-14.diffing-stats-qwen3_1_7B-taboo_wave-L14-Crosscoder-s2-t100-k100-lr1e-04-x32hhs-covid-19-monthly-outcome-survey-wave-12
HHS COVID-19 Monthly Outcome Survey - Wave 12
Description
The Monthly Outcome Survey (MOS) was designed to assess COVID-19 vaccine uptake as well as beliefs, intentions, and behaviors relevant to COVID-19 vaccination at a point in time. The survey fielded on a monthly basis from January 2021 to April 2023. When the MOS first launched, it focused on the primary series of COVID-19 vaccines; in later waves, it was expanded to assess parents’ intentions to get their children… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/hhs-covid-19-monthly-outcome-survey-wave-12.wav2vec_datasethhs-covid-19-monthly-outcome-survey-wave-22
HHS COVID-19 Monthly Outcome Survey - Wave 22
Description
The Monthly Outcome Survey (MOS) was designed to assess COVID-19 vaccine uptake as well as beliefs, intentions, and behaviors relevant to COVID-19 vaccination at a point in time. The survey fielded on a monthly basis from January 2021 to April 2023. When the MOS first launched, it focused on the primary series of COVID-19 vaccines; in later waves, it was expanded to assess parents’ intentions to get their children… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/hhs-covid-19-monthly-outcome-survey-wave-22.ccdsmollm2-nigerian-cultural-blindspotsProject: Blind Spots of Frontier Models (SmolLM2-1.7B)
Model Tested
SmolLM2-1.7B
Loading Code
Python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_id = "HuggingFaceTB/SmolLM2-1.7B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype=torch.bfloat16)
Discussion of Errors
The model struggles with cultural semiotics and West African regional dialects (Pidgin). It tends to… See the full description on the dataset page: https://huggingface.co/datasets/WaveOAK/smollm2-nigerian-cultural-blindspots.Wavel-AI-QA-Datasetalgerian-wav2vec2-resultsgreen-wave-traffic-data
🚦 Green Wave Traffic Signal Optimization Dataset
Synthetic dataset of 100,000 samples for training ML models to predict optimal traffic signal offsets for green wave coordination.
Dataset Description
Each sample represents a road segment between two consecutive intersections in an urban arterial corridor. The dataset includes static road geometry, dynamic traffic conditions, upstream signal states, temporal features, and the target optimal offset.
Features (32… See the full description on the dataset page: https://huggingface.co/datasets/akhilmishraa/green-wave-traffic-data.diffing-stats-SAEdiff_ftb-qwen3_1_7B-taboo_wave-L14-s2-t100-k100-lr1e-04-x2New-Wave-HatePlease be aware that this dataset contains hate speech.
The ground truth labels are labeled according to whether the sample contains identity hate or individual hate. "1" represents hateful, "0" refers to not hateful.
Remember to email us before you send the request to acknowledge your personal information, affiliation, and research plan (and don't forget your HuggingFace account).
By sending us an access request, you MUST agree to the following terms and conditions:
Uphold the privacy… See the full description on the dataset page: https://huggingface.co/datasets/keyan96/New-Wave-Hate.Wav2Vec2-English-PMEmo2019-Finetuned-csvwav2vec2-large-xlsr-53-PMEmo2019-valence-csv
