| from __future__ import annotations |
|
|
| import re |
| from pathlib import Path |
| from typing import get_args |
|
|
| import polars as pl |
|
|
| import mteb |
| from mteb.abstasks.TaskMetadata import PROGRAMMING_LANGS, TASK_TYPE |
|
|
|
|
| def author_from_bibtex(bibtex: str | None) -> str: |
| """Create (Authors, Year) from bibtex entry (author = {Authors}, year = {Year})""" |
| if bibtex is None: |
| return "" |
| |
| authors = re.search(r"author\s*=\s*{([^}]*)}", bibtex) |
| if authors is None: |
| return "" |
| authors = authors.group(1) |
| authors = [a.split(", ") for a in authors.split(" and ")] |
| author_str_w_et_al = ( |
| authors[0][0] + " et al." if len(authors[0]) > 1 else authors[0][0] |
| ) |
| |
| author_str_w_et_al = author_str_w_et_al.replace("\n", " ") |
| year = re.search(r"year\s*=\s*{([^}]*)}", bibtex) |
| if year is None: |
| return "" |
| year_str = year.group(1) |
| return f" ({author_str_w_et_al}, {year_str})" |
|
|
|
|
| def task_to_markdown_row(task: mteb.AbsTask) -> str: |
| name = task.metadata.name |
| name_w_reference = ( |
| f"[{name}]({task.metadata.reference})" if task.metadata.reference else name |
| ) |
| domains = ( |
| "[" + ", ".join(task.metadata.domains) + "]" if task.metadata.domains else "" |
| ) |
| n_samples = task.metadata.n_samples if task.metadata.n_samples else "" |
| avg_character_length = ( |
| task.metadata.avg_character_length if task.metadata.avg_character_length else "" |
| ) |
|
|
| name_w_reference += author_from_bibtex(task.metadata.bibtex_citation) |
|
|
| return f"| {name_w_reference} | {task.metadata.languages} | {task.metadata.type} | {task.metadata.category} | {domains} | {n_samples} | {avg_character_length} |" |
|
|
|
|
| def create_tasks_table(tasks: list[mteb.AbsTask]) -> str: |
| table = """ |
| | Name | Languages | Type | Category | Domains | # Samples | Avg. Length (Char.) | |
| |------|-----------|------|----------|---------|-----------|---------------------| |
| """ |
| for task in tasks: |
| table += task_to_markdown_row(task) + "\n" |
| return table |
|
|
|
|
| def create_task_lang_table(tasks: list[mteb.AbsTask]) -> str: |
| table_dict = {} |
| |
| for task in tasks: |
| for lang in task.metadata.languages: |
| if lang in PROGRAMMING_LANGS: |
| lang = "code" |
| if table_dict.get(lang) is None: |
| table_dict[lang] = {k: 0 for k in sorted(get_args(TASK_TYPE))} |
| table_dict[lang][task.metadata.type] += 1 |
|
|
| |
| pl_table_dict = [] |
| for lang, d in table_dict.items(): |
| d.update({"lang": lang}) |
| pl_table_dict.append(d) |
|
|
| df = pl.DataFrame(pl_table_dict).sort(by="lang") |
| total = df.sum(axis=0) |
|
|
| task_names_md = " | ".join(sorted(get_args(TASK_TYPE))) |
| horizontal_line_md = "---|---" * len(sorted(get_args(TASK_TYPE))) |
| table = """ |
| | Language | {} | |
| |{}| |
| """.format(task_names_md, horizontal_line_md) |
|
|
| for row in df.iter_rows(): |
| table += f"| {row[-1]} " |
| for num in row[:-1]: |
| table += f"| {num} " |
| table += "|\n" |
|
|
| for row in total.iter_rows(): |
| table += "| Total " |
| for num in row[:-1]: |
| table += f"| {num} " |
| table += "|\n" |
|
|
| return table |
|
|
|
|
| def insert_tables( |
| file_path: str, tables: list[str], tags: list[str] = ["TASKS TABLE"] |
| ) -> None: |
| """Insert tables within <!-- TABLE START --> and <!-- TABLE END --> or similar tags.""" |
| md = Path(file_path).read_text() |
|
|
| for table, tag in zip(tables, tags): |
| start = f"<!-- {tag} START -->" |
| end = f"<!-- {tag} END -->" |
| md = md.replace(md[md.index(start) + len(start) : md.index(end)], table) |
|
|
| Path(file_path).write_text(md) |
|
|
|
|
| def main(): |
| tasks = mteb.get_tasks() |
| tasks = sorted(tasks, key=lambda x: x.metadata.name) |
|
|
| tasks_table = create_tasks_table(tasks) |
| task_lang_table = create_task_lang_table(tasks) |
|
|
| file_path = Path(__file__).parent / "tasks.md" |
|
|
| insert_tables( |
| file_path, |
| tables=[tasks_table, task_lang_table], |
| tags=["TASKS TABLE", "TASK LANG TABLE"], |
| ) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|