Fixing minor things based on review.

data/domsdatabasen/create.py

@@ -33,19 +33,6 @@ from typing import cast
 
 import torch
 
-# Ensure threads don't contend
-os.environ["MKL_DYNAMIC"] = "FALSE"
-os.environ["OMP_DYNAMIC"] = "FALSE"
-os.environ["OMP_NUM_THREADS"] = "2"  # Avoid OpenMP issues with multiprocessing
-os.environ["OPENBLAS_NUM_THREADS"] = "2"
-os.environ["MKL_NUM_THREADS"] = "2"
-os.environ["GRPC_VERBOSITY"] = "ERROR"
-os.environ["GLOG_minloglevel"] = "2"
-os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = (
-    "1"  # Transformers uses .isin for a simple op, which is not supported on MPS
-)
-os.environ["IN_STREAMLIT"] = "true"  # Avoid multiprocessing inside surya
-
 import gc
 import requests
 import torch.multiprocessing as mp
@@ -295,12 +282,6 @@ def main():
 
         doc_infos = [doc for doc in doc_infos if doc["id"] not in existing_ids]
 
-        # Download PDFs in parallel
-        # with ThreadPoolExecutor(max_workers=MAX_WORKERS) as executor:
-        #    futures = [executor.submit(download_pdf, doc) for doc in doc_infos]
-        #    for future in as_completed(futures):
-        #        future.result()
-
         # Extract text in parallel using multiprocessing
         with mp.Pool(
             processes=MAX_WORKERS, initializer=worker_init, maxtasksperchild=10
@@ -337,6 +318,19 @@ def main():
 
 
 if __name__ == "__main__":
+    # Ensure threads don't contend
+    os.environ["MKL_DYNAMIC"] = "FALSE"
+    os.environ["OMP_DYNAMIC"] = "FALSE"
+    os.environ["OMP_NUM_THREADS"] = "2"  # Avoid OpenMP issues with multiprocessing
+    os.environ["OPENBLAS_NUM_THREADS"] = "2"
+    os.environ["MKL_NUM_THREADS"] = "2"
+    os.environ["GRPC_VERBOSITY"] = "ERROR"
+    os.environ["GLOG_minloglevel"] = "2"
+    os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = (
+        "1"  # Transformers uses .isin for a simple op, which is not supported on MPS
+    )
+    os.environ["IN_STREAMLIT"] = "true"  # Avoid multiprocessing inside surya
+
     mp.set_start_method("spawn", force=True)
     log_path = Path(__file__).parent / "domsdatabasen.log"
     logging.basicConfig(

data/domsdatabasen/domsdatabasen.md

@@ -25,6 +25,8 @@ domains:
 
 Launched in early 2022, the platform aims to increase transparency and public insight into the workings of the judiciary in Denmark. It is accessible to everyone – legal professionals, citizens, companies, and public authorities interested in Danish case law.
 
+## Dataset Description
+
 ### Purpose and Scope
 The main goal of the database is to support the principle of openness in the administration of justice. It offers users access to selected civil and criminal decisions, with an initial focus on rulings from the higher courts, such as:
 
@@ -53,10 +55,6 @@ Businesses involved in cases are typically not pseudonymized unless their name r
 Domsdatabasen is continuously being developed. As digitization progresses and technical workflows improve, the number of published decisions is expected to grow. The judgments are published as full case strings, including decisions at multiple judicial levels, providing context and legal reasoning throughout the appeal process.
 
 
-
-## Dataset Description
-
-
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
 - **Domains**: Legal