| import csv |
| import sys |
|
|
| from pathlib import Path |
|
|
| from datasets import load_dataset |
| from markdown_it import MarkdownIt |
| from mdit_plain.renderer import RendererPlain |
| from minicli import cli, run |
| from progressist import ProgressBar |
|
|
|
|
| csv.field_size_limit(sys.maxsize) |
| catalog = Path("datasets-filtered.csv") |
|
|
|
|
| @cli |
| def generate(): |
| """ |
| Loads catalog, parse markdown description, return concatenated title and description |
| """ |
| print("Loading corpus...") |
| corpus = [] |
| parser = MarkdownIt(renderer_cls=RendererPlain) |
| with catalog.open() as f: |
| reader = csv.DictReader(f) |
| lines = list(reader) |
| bar = ProgressBar(total=len(lines)) |
| for line in bar.iter(lines): |
| description = parser.render(line["description"]) |
| corpus.append({ |
| "id": line["id"], |
| "content": f'{line["title"]} {description}', |
| "tags": line["tags"], |
| }) |
| with open("data/datagouvfr-datasets.csv", "w") as f: |
| writer = csv.DictWriter(f, fieldnames=["id", "content", "tags"]) |
| writer.writeheader() |
| writer.writerows(corpus) |
|
|
| return corpus |
|
|
|
|
| @cli |
| def inspect(): |
| ds = load_dataset("abulte/datagouvfr-datasets", split="train") |
| print(list(zip(ds["id"][:10], ds["content"][:10], ds["tags"][:10]))) |
|
|
|
|
| if __name__ == "__main__": |
| run() |
|
|
