spc
Datasets
All datasets matching “spc”gaiaThis catalog is developed for use with the Siril 1.4 series as a public reference database. Hugging Face is one of several mirrors used to distribute the data. This database is provided for both offline download and also for online access. This dataset is provided for scientific and reproducibility purposes.
This is an extract of the Gaia DR3 catalog optimized for spectrophotometric color calibration. The catalog is indexed at HEALpix level 8 and selects up to the 127 brightest sources in each… See the full description on the dataset page: https://huggingface.co/datasets/siril-spcc/gaia.SPC
Dataset Card for "SPC-v2"
More Information needed
SP_CountingThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 50,
"total_frames": 37501,
"total_tasks": 5,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:50"
},
"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/justintiensmith/SP_Counting.spc_r
Dataset Card: Swiss Parliaments Corpus — SPC_R v1.0
Background
The aim is to build a large, high-quality dataset. To get there, we correct pseudo-labeled transcriptions of parliamentary debates with an LLM. The model receives semantically relevant chunks from a manually prepared session protocol as context and then produces the corrected transcription.
We also show that Whisper’s average log probability can be used to predict BLEU. This lets us estimate transcription… See the full description on the dataset page: https://huggingface.co/datasets/i4ds/spc_r.MF_RPN_convection_super_param_CAM5_SPCAM5
Probabilistic Multi-fidelity climate model parameterization for better generalization and extrapolation
Code and data accompanying the manuscript titled "Multi-fidelity climate model parameterization for better generalization and extrapolation", authored by Mohamed Aziz Bhouri, Liran Peng, Michael S Pritchard and Pierre Gentine.
Abstract
Machine-learning-based parameterizations (i.e. representation of sub-grid processes) of global climate models or turbulent simulations… See the full description on the dataset page: https://huggingface.co/datasets/MohamedAzizBhouri/MF_RPN_convection_super_param_CAM5_SPCAM5.SP_Counting_200This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"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/justintiensmith/SP_Counting_200.