File size: 2,356 Bytes
011bd7a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 | from collections import defaultdict
from time import sleep
from datasets import DatasetDict, load_dataset
from huggingface_hub import HfApi, hf_hub_download
languages = [
"de",
"bn",
"it",
"pt",
"nl",
"cs",
"ro",
"bg",
"sr",
"fi",
"fa",
"hi",
"da",
"en",
"no",
"sv",
]
def map_corpus_to_query(example, negatives_dict):
query = example["query"]
title = example["title"]
positive = [example["text"]]
negatives = negatives_dict[title]
return {"query": query, "positive": positive, "negative": negatives}
ds_dict = DatasetDict()
for lang in languages:
sleep(5) # HF hub rate limit
ds_queries = load_dataset(
f"rasdani/cohere-wikipedia-2023-11-{lang}-queries", split="train"
)
ds_corpus = load_dataset(
f"rasdani/cohere-wikipedia-2023-11-{lang}-1.5k-articles", split="train"
)
ds_corpus = ds_corpus.filter(lambda x: x["score"] != 1)
sleep(5)
negatives_dict = defaultdict(list)
for row in ds_corpus:
negatives_dict[row["title"]].append(row["text"])
ds = ds_queries.map(
lambda x: map_corpus_to_query(x, negatives_dict),
remove_columns=ds_queries.column_names,
)
repo_id = "ellamind/wikipedia-2023-11-reranking-multilingual"
ds.push_to_hub(repo_id, config_name=lang, split="test")
# Download the README from the repository
sleep(5)
readme_path = hf_hub_download(
repo_id=repo_id, filename="README.md", repo_type="dataset"
)
with open(readme_path, "r") as f:
readme_content = f.read()
readme = """
This dataset is derived from Cohere's wikipedia-2023-11 dataset, which is in turn derived from `wikimedia/wikipedia`.
The dataset is licensed under the Creative Commons CC BY-SA 3.0 license.
"""
# Prepend the license key to the YAML header and append the custom README
if "- license: " not in readme_content and readme not in readme_content:
license = "cc-by-sa-3.0"
updated_readme = readme_content.replace(
"---\ndataset_info:", "---\nlicense: {license}\ndataset_info:"
).format(license=license)
updated_readme += readme
api = HfApi()
readme_bytes = updated_readme.encode("utf-8")
api.upload_file(
path_or_fileobj=readme_bytes,
path_in_repo="README.md",
repo_id=repo_id,
repo_type="dataset",
)
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