--- pretty_name: Gene Ontology Terms license: cc-by-4.0 tags: - biology - ontology - gene-ontology - go - obo - parquet configs: - config_name: default data_files: - split: train path: data/train-*.parquet - split: test path: data/test-*.parquet --- # Gene Ontology Terms The Gene Ontology is a structured knowledgebase and controlled vocabulary for describing gene product functions, biological processes, and cellular components across organisms. This dataset contains a viewer-friendly Parquet table derived from the Gene Ontology OBO files in this repository. Each row is one `[Term]` stanza from `go.obo`, with repeated OBO fields stored as list columns. The original source files are preserved in the repository: - `go.obo` - `go-basic.obo` `in_go_basic` marks whether a term is also present in `go-basic.obo`. Relationship typedef metadata from `go.obo` is available as `metadata/typedefs.parquet`. ## Splits The split is deterministic by GO identifier: `sha256(go_id) % 10`. Bucket `0` is `test`; buckets `1` through `9` are `train`. | Split | Rows | |---|---:| | train | 43,522 | | test | 4,769 | | total | 48,291 | ## Dataset Statistics | Field | Value | |---|---:| | GO release | `releases/2026-03-25` | | Terms | 48,291 | | Typedefs | 11 | | Terms in `go-basic.obo` | 48,291 | | Active terms | 38,560 | | Obsolete terms | 9,731 | | Namespace | Rows | |---|---:| | biological_process | 30,857 | | molecular_function | 12,839 | | cellular_component | 4,595 | ## Usage Install the Hugging Face Datasets library: ```bash pip install datasets ``` Load all splits: ```python from datasets import load_dataset ds = load_dataset("LiteFold/GO") print(ds) row = ds["train"][0] print(row["go_id"], row["name"], row["namespace"]) ``` Load one split: ```python from datasets import load_dataset train = load_dataset("LiteFold/GO", split="train") test = load_dataset("LiteFold/GO", split="test") ``` Stream rows without downloading the full table first: ```python from datasets import load_dataset stream = load_dataset("LiteFold/GO", split="train", streaming=True) for row in stream.take(5): print(row["go_id"], row["name"]) ``` Filter active biological process terms: ```python from datasets import load_dataset ds = load_dataset("LiteFold/GO", split="train") active_bp = ds.filter( lambda row: row["namespace"] == "biological_process" and not row["is_obsolete"] ) print(active_bp[0]) ``` Load typedef metadata directly: ```python import pandas as pd from huggingface_hub import hf_hub_download path = hf_hub_download( repo_id="LiteFold/GO", repo_type="dataset", filename="metadata/typedefs.parquet", ) typedefs = pd.read_parquet(path) print(typedefs[["id", "name"]].head()) ``` ## Columns | Column | Description | |---|---| | `go_id` | GO identifier, such as `GO:0008150`. | | `go_numeric_id` | Numeric portion of `go_id`. | | `name` | Term name. | | `namespace` | GO namespace: `biological_process`, `molecular_function`, or `cellular_component`. | | `definition` | Parsed OBO definition text. | | `definition_xrefs` | Cross-references attached to the definition. | | `comment` | OBO comment text, when present. | | `synonyms` | Parsed synonym strings. | | `synonym_scopes` | Scope for each synonym, such as `EXACT`, `BROAD`, `NARROW`, or `RELATED`. | | `alt_ids` | Alternate GO identifiers. | | `subsets` | GO subsets or slims containing the term. | | `xrefs` | Term cross-references. | | `is_a_ids` | Direct `is_a` parent GO identifiers. | | `relationship_edges` | Raw relationship edges with comments removed. | | `relationship_types` | Relationship predicates, such as `part_of` or `regulates`. | | `relationship_target_ids` | GO identifiers targeted by relationship edges. | | `parent_ids` | Combined unique `is_a_ids` and `relationship_target_ids`. | | `intersection_of` | Parsed `intersection_of` entries. | | `union_of` | Parsed `union_of` entries. | | `disjoint_from` | Parsed `disjoint_from` entries. | | `replaced_by` | Replacement IDs for obsolete terms. | | `consider` | Suggested replacement IDs for obsolete terms. | | `property_values` | Raw OBO property values. | | `created_by` | Creator metadata, when present. | | `creation_date` | Creation date metadata, when present. | | `is_obsolete` | Whether the term is obsolete. | | `in_go_basic` | Whether the same GO ID appears in `go-basic.obo`. | | `split_bucket` | Deterministic split bucket from `sha256(go_id) % 10`. | # Citation ``` @article{geneontology2023, title = {The Gene Ontology knowledgebase in 2023}, author = {{The Gene Ontology Consortium}}, journal = {Genetics}, volume = {224}, number = {1}, year = {2023}, doi = {10.1093/genetics/iyad031} } ```