Update ai_hub_summarization.py

ai_hub_summarization.py

@@ -1,13 +1,15 @@
-import csv
+import json
+
 import datasets
+import pandas as pd
 
 _CITATION = """"""
 _DESCRIPTION = """"""
 _LICENSE = "CC-BY-SA-4.0"
 # _URL = "https://github.com/boostcampaitech2/data-annotation-nlp-level3-nlp-14"
 _DATA_URLS = {
-    "train": "https://huggingface.co/datasets/raki-1203/ai_hub_summarization/resolve/main/train.tsv",
-    "dev": "https://huggingface.co/datasets/raki-1203/ai_hub_summarization/resolve/main/valid.tsv",
+    "train": "https://huggingface.co/datasets/raki-1203/ai_hub_summarization/resolve/main/train_dict.json",
+    "dev": "https://huggingface.co/datasets/raki-1203/ai_hub_summarization/resolve/main/valid_dict.json",
 }
 
 _VERSION = "0.0.0"
@@ -36,11 +38,9 @@ class AiHubSummarization(datasets.GeneratorBasedBuilder):
                 {
                     "data_name": datasets.Value("string"),
                     "doc_id": datasets.Value("string"),
-                    "passage_id": datasets.Value("string"),
                     "doc_name": datasets.Value("string"),
                     "passage": datasets.Value("string"),
                     "abstract_summary": datasets.Value("string"),
-                    "extract_summary": datasets.Value("string"),
                 }
             ),
             license=_LICENSE,
@@ -70,21 +70,16 @@ class AiHubSummarization(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, data_file: str, split: str):
         """ Yields examples. """
-        with open(data_file, newline='', encoding="UTF-8") as csvfile:
-            reader = csv.reader(csvfile, delimiter='\t')
-            feature_names = next(reader)
-            idx = 0
-            for row in reader:
-                if idx == 0:
-                    continue
+        with open(data_file, newline='', encoding="UTF-8") as f:
+            json_file = json.load(f, delimiter='\t')
+            df = pd.DataFrame(json_file)
+            for idx, row in df.iterrows():
                 features = {
-                    "data_name": row[0],
-                    "doc_id": row[1],
-                    "passage_id": row[2],
-                    "doc_name": row[3],
-                    "passage": row[4],
-                    "abstract_summary": row[5],
-                    "extract_summary": row[6],
+                    "data_name": row['data_name'],
+                    "doc_id": row['doc_id'],
+                    "doc_name": row['doc_name'],
+                    "passage": row['passage'],
+                    "abstract_summary": row['abstract_summary'],
                 }
                 yield idx, features
                 idx += 1