Update README.md

README.md

@@ -37,4 +37,57 @@ configs:
   data_files:
   - split: train
     path: test/train-*
+size_categories:
+- 100K<n<1M
 ---
+
+## Process Code
+
+```python
+import pandas as pd
+
+from datasets import Dataset
+
+claims = pd.read_csv("./scifact_open_retriever_test.csv")
+claims.head()
+
+docs = pd.read_csv("./scifact_open_docs.csv")
+docs.head()
+
+id2doc = dict(zip(docs["ID"], docs["Doc"]))
+
+data = {
+    "claim": [],
+    "evidence": [],
+    "evidence_id": [],
+    "label": [],
+}
+
+for i, row in claims.iterrows():
+    data["claim"].append(row["Query"])
+    evidence_ids = eval(row["Gold"])
+    evidence_id = int(evidence_ids[0])
+    labels = eval(row["Label"])
+    label = str(labels[0])
+    data["evidence"].append(id2doc[evidence_id])
+    data["evidence_id"].append(evidence_id)
+    data["label"].append(label)
+
+ds = Dataset.from_dict(data)
+
+distractors = {
+    "evidence": [],
+    "evidence_id": [],
+}
+
+for i, row in docs.iterrows():
+    distractors["evidence"].append(row["Doc"])
+    distractors["evidence_id"].append(row["ID"])
+
+distractors = Dataset.from_dict(distractors)
+
+
+ds.push_to_hub("umbc-scify/scifact-open", "test")
+distractors.push_to_hub("umbc-scify/scifact-open", "distractors")
+
+``