--- license: mit configs: - config_name: gnps_random default: true data_files: - split: train path: "GNPS/random/train.csv" - split: validation path: "GNPS/random/valid.csv" - split: test path: "GNPS/random/test.csv" - config_name: gnps_scaffold data_files: - split: train path: "GNPS/scaffold/train.csv" - split: validation path: "GNPS/scaffold/valid.csv" - split: test path: "GNPS/scaffold/test.csv" - config_name: mist_canopus_split_0 data_files: - split: train path: "MIST_canopus/split_0/train_0.csv" - split: validation path: "MIST_canopus/split_0/val_0.csv" - split: test path: "MIST_canopus/split_0/test_0.csv" - config_name: mist_canopus_split_1 data_files: - split: train path: "MIST_canopus/split_1/train_1.csv" - split: validation path: "MIST_canopus/split_1/val_1.csv" - split: test path: "MIST_canopus/split_1/test_1.csv" - config_name: mist_canopus_split_2 data_files: - split: train path: "MIST_canopus/split_2/train_2.csv" - split: validation path: "MIST_canopus/split_2/val_2.csv" - split: test path: "MIST_canopus/split_2/test_2.csv" - config_name: massbank_scaffold data_files: - split: train path: "MassBank/scaffold/train.csv" - split: validation path: "MassBank/scaffold/valid.csv" - split: test path: "MassBank/scaffold/test.csv" - config_name: massspecgym data_files: - split: train path: "MassSpecGym/MassSpecGym_train.csv" - split: validation path: "MassSpecGym/MassSpecGym_valid.csv" - split: test path: "MassSpecGym/MassSpecGym_test.csv" --- # NeurIPS 2026 mass spectrometry dataset This repository was prepared automatically for Hugging Face Datasets. ## Available configs - `gnps_random` - `gnps_scaffold` - `mist_canopus_split_0` - `mist_canopus_split_1` - `mist_canopus_split_2` - `massbank_scaffold` - `massspecgym` ## Usage ```python from datasets import load_dataset ds = load_dataset("your-username/your-dataset-name", "gnps_random") ``` Replace the repo id and config name as needed. ## Notes - `valid` and `val` files are mapped to the Hugging Face `validation` split. - `.DS_Store` files are ignored.