Datasets:

TWLab
/

femtosecond-laser-hydrogel-etching-data

tags:
  - ml-intern
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: power_mW
      dtype: float64
    - name: repetition_rate_kHz
      dtype: float64
    - name: scan_speed_mm_s
      dtype: float64
    - name: pulse_duration_fs
      dtype: float64
    - name: wavelength_nm
      dtype: float64
    - name: num_passes
      dtype: int64
    - name: spot_diameter_um
      dtype: float64
    - name: focal_offset_um
      dtype: float64
    - name: material
      dtype: large_string
    - name: water_content
      dtype: float64
    - name: threshold_fluence_J_cm2
      dtype: float64
    - name: absorption_depth_nm
      dtype: float64
    - name: incubation_coefficient
      dtype: float64
    - name: refractive_index
      dtype: float64
    - name: pulse_energy_uJ
      dtype: float64
    - name: peak_fluence_J_cm2
      dtype: float64
    - name: effective_pulses
      dtype: float64
    - name: overlap_percent
      dtype: float64
    - name: etch_depth_um
      dtype: float64
    - name: etch_width_um
      dtype: float64
    - name: surface_roughness_Sa_um
      dtype: float64
    - name: aspect_ratio
      dtype: float64
    - name: side_wall_angle_deg
      dtype: float64
  splits:
    - name: train
      num_bytes: 2828401
      num_examples: 12000
  download_size: 1580191
  dataset_size: 2828401

TWLAb/femtosecond-laser-hydrogel-etching-data

Generated by ML Intern

This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.

Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern

Usage

from datasets import load_dataset

dataset = load_dataset('TWLAb/femtosecond-laser-hydrogel-etching-data')