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convert.py

@@ -0,0 +1,77 @@
+"""
+Convert the json data to a parquet file
+"""
+
+import json
+
+import pandas as pd
+
+
+def load_domains_map():
+    """
+    Load the domain mapping from the json file
+    """
+    with open("oos-eval-master/data/domains.json", "r", encoding="utf8") as f:
+        domains = json.loads(f.read())
+
+    domain_map = []
+    label_map = []
+
+    label2domain = {"oos": ("oos", 0, 0)}  # domain, domain_id, label_id
+
+    domain_map.append((0, "oos"))
+    label_map.append((0, "oos"))
+
+    domain_id = 1
+    label_id = 1
+
+    for domain, labels in domains.items():
+        for label in labels:
+            label2domain[label] = (domain, domain_id, label_id)
+            label_map.append((label_id, label))
+            label_id += 1
+
+        domain_map.append((domain_id, domain))
+        domain_id += 1
+
+    with open("domain_map.txt", "w", encoding="utf8") as f:
+        for domain_id, domain in domain_map:
+            f.write(f"{domain_id}\t{domain}\n")
+
+    with open("label_map.txt", "w", encoding="utf8") as f:
+        for label_id, label in label_map:
+            f.write(f"{label_id}\t{label2domain[label][0]}:{label}\n")
+
+    return label2domain
+
+
+LABEL_2_DOMAIN = load_domains_map()
+
+
+def run():
+    """
+    Convert the json data to a parquet file
+    """
+    rows = []
+
+    with open("oos-eval-master/data/data_full.json", "r", encoding="utf8") as f:
+        data = json.loads(f.read())
+
+    for split in data:
+        for text, label in data[split]:
+
+            rows.append(
+                {
+                    "text": text,
+                    "domain": LABEL_2_DOMAIN[label][1],
+                    "label": LABEL_2_DOMAIN[label][2],
+                    "split": split,
+                }
+            )
+
+    df = pd.DataFrame(rows)
+    df.to_csv("data_full.csv", index=False)
+
+
+if __name__ == "__main__":
+    run()