Datasets:

HTW-KI-Werkstatt
/

RamanBench

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RamanBench Dataset Mirror

⚠️ RESEARCH MIRROR ONLY — All datasets are provided for research/educational purposes. Original copyrights remain with original authors. See Sources & Licenses below.

A unified mirror of 87 Raman spectroscopy datasets from the RamanBench benchmark. Wide-format Parquet files for fast, reliable access.

Quick Start

from raman_bench import RamanBenchmark

# Fast mirror access (default)
bench = RamanBenchmark(
    dataset_names_classification=["wheat_lines"],
    dataset_names_regression=["amino_acids_glycine"],
    use_mirror=True  # Uses this HF mirror
)

Or load directly:

from datasets import load_dataset
ds = load_dataset("HTW-KI-Werkstatt/RamanBench", "wheat_lines", split="train")
df = ds.to_pandas()

Citation & Attribution

If using this mirror, cite RamanBench:

@article{Koddenbrock2026RamanBench,
  title={RamanBench: A Comprehensive Benchmark for Machine Learning on Raman Spectroscopy},
  author={Koddenbrock, Mario and others},
  journal={arXiv preprint arXiv:2605.02003},
  year={2026}
}

CRITICAL: You MUST ALSO cite the original dataset sources. Failure to do so violates IP rights.

Dataset Structure

Parquet files: Wide-format spectral data
- Columns: wavenumber floats (e.g., "200.5") + targets (single or multi-target)
- Data types: float32 for spectra, float64/string for targets
Metadata: metadata.json with target names and task type

Available Datasets

87 datasets: 21 classification + 66 regression

Classification: wheat_lines, bacteria_identification, cancer_cell_*, hair_dyes_sers, ...

Regression: amino_acids_*, bioprocess_analytes_*, ecoli_fermentation, ...

See RamanBench paper for full list.

Sources & Licenses

Source	License	Copyright Holder
Kaggle	Dataset Terms	Authors/Kaggle
Zenodo	CC-BY, CC-0, custom	Depositors
Figshare	CC-BY	Depositors
GitHub (HTW-KI-Werkstatt)	CC-BY or dataset-specific	Contributors
HuggingFace Hub	Varies	Contributors
RWTH Aachen / Custom	Institution-dependent	Research groups