Set dataset card
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README.md
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A frozen, molecule-disjoint benchmark table built from the
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experiment.
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##
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| --- | --- |
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| SHA-256 | `06e084501e91f92cc642c3d60de2863266ff3d0db958354a011e32851bef3976` |
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| columns | `mzs, intensities, smiles, precursor_mz, adduct, collision_energy, fold` |
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| peak format | comma-separated strings, one spectrum per row |
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| fold | spectra | unique exact SMILES |
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| --- | ---: | ---: |
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| train | 370,362 | 33,846 |
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| validation | 47,825 | 4,231 |
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| test | 46,159 | 4,231 |
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| total | 464,346 | 42,308 |
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## 2. Split definition
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- The partition is 8:1:1 at the molecule (exact-SMILES) level: 33,846 / 4,231 / 4,231
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unique SMILES.
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- **This split is not formula-disjoint.** Structural isomers share a molecular formula, and
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molecular formulas do recur across folds in this library. Downstream work must describe
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the partition as molecule/SMILES-disjoint, not as a formula-disjoint partition.
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[`splits/spectraverse_compound_split.csv`](splits/spectraverse_compound_split.csv)
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(42,308 rows: `smiles, fold, n_spectra`), so the benchmark can be used without
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reconstructing the assignment.
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## 3. Usage
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```python
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import pandas as pd
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base = "https://huggingface.co/datasets/dsadd4/UltraMS-Spectraverse-Benchmark/resolve/v1.0.0/"
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spectra = pd.read_csv(base + "Spectraverse.csv")
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split = pd.read_csv(base + "splits/spectraverse_compound_split.csv")
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test = spectra[spectra.fold == "test"]
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assert split.groupby("smiles").fold.nunique().max() == 1
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```
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`benchmarks/spectral_properties/prepare_library_spectra.py --dataset spectraverse`
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(published size/SHA-256 and fold counts are verified before use).
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## 4. Provenance and licence
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The spectra are the public SpectraVerse library (SpectraVerse v1.0.1, Zenodo
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distribution. See [NOTICE.md](NOTICE.md) for the full attribution.
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## 5. Files
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```text
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README.md, NOTICE.md, SHA256SUMS, VERIFY.md, stats.json
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Spectraverse.csv (hosted with the release; not duplicated in the archive)
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splits/spectraverse_compound_split.csv(.gz)
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hf_dataset_card.md, hf_upload_commands.sh, zenodo_metadata.json
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```
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---
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pretty_name: UltraMS SpectraVerse benchmark (molecule-level 8:1:1 split)
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license: cc-by-4.0
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language:
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- en
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size_categories:
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- 100K<n<1M
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task_categories:
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- other
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configs:
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- config_name: spectraverse_split
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data_files: splits/spectraverse_compound_split.csv
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- config_name: spectraverse_spectra
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data_files: Spectraverse.csv
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---
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# UltraMS SpectraVerse benchmark
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A frozen, molecule-disjoint benchmark table built from the SpectraVerse tandem mass
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spectral library and released by UltraMS. It is the negative-ion structure-family
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evaluation population of the UltraMS manuscript (Figure 2c) and the external test set of
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the ionization-polarity transfer experiment.
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## Contents
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| file | description |
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| --- | --- |
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| `Spectraverse.csv` | 464,346 spectra; columns `mzs, intensities, smiles, precursor_mz, adduct, collision_energy, fold`; 707,447,509 B, SHA-256 `06e084501e91f92cc642c3d60de2863266ff3d0db958354a011e32851bef3976` |
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| `splits/spectraverse_compound_split.csv` | 42,308 exact SMILES → `fold` (train / validation / test) with `n_spectra` |
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| `README.md`, `NOTICE.md`, `VERIFY.md`, `stats.json`, `SHA256SUMS` | documentation, attribution, verification and checksums |
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## Split
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| fold | spectra | unique exact SMILES |
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| --- | ---: | ---: |
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| train | 370,362 | 33,846 |
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| validation | 47,825 | 4,231 |
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| test | 46,159 | 4,231 |
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The split unit is the exact SMILES string: every spectrum of a SMILES string lies in one
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fold and no string crosses folds (molecule/SMILES-disjoint 8:1:1). It is **not**
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formula-disjoint: structural isomers share a formula and formulas recur across folds.
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## Usage
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```python
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import pandas as pd
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base = "https://huggingface.co/datasets/dsadd4/UltraMS-Spectraverse-Benchmark/resolve/v1.0.0/"
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spectra = pd.read_csv(base + "Spectraverse.csv")
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split = pd.read_csv(base + "splits/spectraverse_compound_split.csv")
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test = spectra[spectra.fold == "test"]
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```
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## Provenance and licence
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The spectra are the public SpectraVerse library (SpectraVerse v1.0.1, Zenodo
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doi:10.5281/zenodo.17870921, CC BY 4.0; Gupta, Qiang, Chung, Herbst and Skinnider).
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UltraMS contributed the CSV representation, the frozen molecule-level split and the release.
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Released under CC BY 4.0; attribution to the SpectraVerse authors is required.
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