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README.md

@@ -1,29 +1,80 @@
 ---
-dataset_info:
-  features:
-  - name: seq
-    dtype: large_string
-  - name: label
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 999772
-    num_examples: 2727
-  - name: validation
-    num_bytes: 115146
-    num_examples: 303
-  - name: test
-    num_bytes: 133774
-    num_examples: 337
-  download_size: 1208794
-  dataset_size: 1248692
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+language:
+- en
+license: other
+tags:
+- biology
+- proteins
+- sequence-classification
+- benchmark
+task_categories:
+- text-classification
+pretty_name: ProFET_NP_SP_Cleaved
 ---
+
+# ProFET_NP_SP_Cleaved
+
+Binary benchmark for neuropeptide precursor prediction from protein sequences, adapted from the ProteinBERT benchmark collection.
+
+## Source
+
+This dataset is sourced from the ProteinBERT benchmark repository:
+https://github.com/nadavbra/protein_bert/tree/master/protein_benchmarks
+
+## Curator Attribution
+
+This Hugging Face dataset packaging, curation, and publication was prepared by Dan Ofer.
+
+## Splits and Schema
+
+- Splits follow the benchmark release (train/validation/test when available).
+- Each row includes:
+  - seq: amino-acid sequence
+  - label: binary target (0 or 1)
+
+## Hugging Face Repo
+
+- GrimSqueaker/ProFET_NP_SP_Cleaved
+
+## Citations
+
+```bibtex
+@article{10.1093/bioinformatics/btac020,
+    author = {Brandes, Nadav and Ofer, Dan and Peleg, Yam and Rappoport, Nadav and Linial, Michal},
+    title = {ProteinBERT: a universal deep-learning model of protein sequence and function},
+    journal = {Bioinformatics},
+    volume = {38},
+    number = {8},
+    pages = {2102-2110},
+    year = {2022},
+    doi = {10.1093/bioinformatics/btac020}
+}
+
+@article{OferD2014,
+    author = {Ofer, Dan and Linial, Michal},
+    title = {NeuroPID: a predictor for identifying neuropeptide precursors from metazoan proteomes},
+    journal = {Bioinformatics},
+    volume = {30},
+    number = {7},
+    pages = {931--940},
+    year = {2014},
+    doi = {10.1093/bioinformatics/btt725}
+}
+
+@article{Karsenty2014,
+    author = {Karsenty, S. and Rappoport, N. and Ofer, D. and Zair, A. and Linial, M.},
+    title = {NeuroPID: a classifier of neuropeptide precursors},
+    journal = {Nucleic Acids Research},
+    year = {2014},
+    doi = {10.1093/nar/gku363}
+}
+
+@article{Brandes2016,
+    author = {Brandes, Nadav and Ofer, Dan and Linial, Michal},
+    title = {ASAP: A machine learning framework for local protein properties},
+    journal = {Database},
+    volume = {2016},
+    year = {2016},
+    doi = {10.1093/database/baw133}
+}
+```