| --- |
| 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} |
| } |
| ``` |