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---
dataset_info:
features:
- name: seq_name_a
dtype: string
- name: seq_name_b
dtype: string
- name: seq_a
dtype: string
- name: seq_b
dtype: string
- name: score
dtype: float64
- name: label
dtype: int64
splits:
- name: train
num_bytes: 925231810
num_examples: 800000
- name: validation
num_bytes: 115759871
num_examples: 100000
- name: test
num_bytes: 115544832
num_examples: 100000
download_size: 1078584544
dataset_size: 1156536513
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# STRING PPI Human 1M
This dataset contains 1 million human protein–protein interactions (PPIs) derived from STRING v11.5.
**Columns**:
- `seq_a`, `seq_b`: Amino acid sequences of the interacting proteins (≤2048 AA).
- `seq_name_a`, `seq_name_b`: Protein names from STRING.
- `score`: Combined score from STRING (0–1000, normalized to 0–1). This score integrates various evidence channels (experimental data, text mining, co-expression, etc.) into a single confidence metric.
- `label`: Binary interaction label.
- `1`: High-confidence positive interaction (STRING experimental score > 0.7).
- `0`: Low-confidence negative interaction (STRING experimental score < 0.2).
**Processing Steps**:
- Downloaded human interactions from STRING (`9606.protein.links.detailed.v11.5.txt.gz`).
- Filtered by experimental score thresholds for positives/negatives.
- Retrieved protein sequences from UniProt by matching STRING protein names.
- Excluded sequences longer than 2048 amino acids.
- Balanced top and bottom 500k interactions by combined score.
Useful for training models for binary PPI prediction or embedding-based methods.
Source: [STRING Database v11.5](https://string-db.org).
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