Upload create_data_retrieval.py

create_data_retrieval.py

@@ -0,0 +1,31 @@
+import json
+import pandas as pd
+from huggingface_hub import create_repo, upload_file
+from huggingface_hub.utils._errors import HfHubHTTPError
+
+### Process articles ###
+articles = pd.read_json("./syntec.json")
+articles["content"] = articles["content"].str.replace("[En vigueur] ", "")
+articles["content"] = articles["content"].str.replace("[En vigueur]\n", "")
+
+### Process queries ###
+queries = pd.read_excel("./Syntec.xlsx")
+queries.drop(["Personne", "Réponse"], axis=1, inplace=True)
+
+### Test ###
+assert queries["Article"].isin(articles["id"]).all(),\
+"Some queries's target documents are missing in documents corpus"
+
+# create HF repo
+repo_id = "lyon-nlp/mteb-fr-retrieval-syntec-s2p"
+try:
+    create_repo(repo_id, repo_type="dataset")
+except HfHubHTTPError as e:
+    print("HF repo already exist")
+
+# save datasets as json
+queries.to_json("queries.json", orient="records")
+articles.to_json("documents.json", orient="records")
+
+upload_file(path_or_fileobj="queries.json", path_in_repo="queries.json", repo_id=repo_id, repo_type="dataset")
+upload_file(path_or_fileobj="documents.json", path_in_repo="documents.json", repo_id=repo_id, repo_type="dataset")