add dataset

Cosmosqa_train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3429c45914ced38a9eceed7aac9cb4ee5227872fb92efa5106a28cb40b394f18
+size 22909738

Read_Comperhension50k.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cb65cb7de2ba4085551d69ae7db738d0bbcc01f6b5984723cdcb6905f4d852d
+size 132615197

Read_Comperhension50k.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8b6a7d52a0be1877451894c538b36b95f23f5b412462c3269cdfb2cbb01d171
+size 135770699

Read_Comperhension50k.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37aef0856d8d250cd6d1c99f39f8eac1fa71c8b845ca44d58f5cdf02bae44977
+size 135770699

TriviaQA_train25k.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f50f71142db3bae44300704d28aea952b6048e79fc80710ee7eced0fb2e50e30
+size 112860766

Xtuner_Read_Comperhension50k.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4bb6f8104fb0e35151e48a4483fedbb5a82374ba647b220fe09c58089896428a
+size 135603261

jsonl2csv.py

@@ -0,0 +1,21 @@
+import json
+import csv
+
+def convert_jsonl_to_csv(jsonl_file, csv_file):
+    with open(jsonl_file, 'r',encoding='utf-8') as file:
+        json_data = [json.loads(line) for line in file]
+        
+    if len(json_data) > 0:
+        fields = list(json_data[0].keys())
+        
+        with open(csv_file, 'w', newline='',encoding='utf-8') as file:
+            writer = csv.DictWriter(file, fieldnames=fields)
+            writer.writeheader()
+            
+            for data in json_data:
+                writer.writerow(data)
+
+# 使用示例
+jsonl_file = 'Read_Comperhension50k.jsonl'
+csv_file = 'Read_Comperhension50k.csv'
+convert_jsonl_to_csv(jsonl_file, csv_file)

jsonl2json.py

@@ -0,0 +1,16 @@
+import json
+
+def convert_jsonl_to_json(jsonl_file, json_file):
+    json_data = []
+    
+    with open(jsonl_file, 'r') as file:
+        for line in file:
+            json_data.append(json.loads(line))
+            
+    with open(json_file, 'w') as file:
+        json.dump(json_data, file)
+        
+# 使用示例
+jsonl_file = 'Xtuner_Read_Comperhension50k.jsonl'
+json_file = 'Xtuner_Read_Comperhension50k.json'
+convert_jsonl_to_json(jsonl_file, json_file)

merge.py

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+import json
+
+input_file1 = 'Cosmosqa_train.jsonl'
+input_file2 = 'TriviaQA_train25k.jsonl'
+output_file = 'Read_Comperhension50k.jsonl'
+
+with open(input_file1, 'r', encoding='utf-8') as f_input1, \
+        open(input_file2, 'r', encoding='utf-8') as f_input2, \
+        open(output_file, 'w', encoding='utf-8') as f_output:
+    for line in f_input1:
+        data = json.loads(line)
+        json.dump(data, f_output)
+        f_output.write('\n')
+    
+    for line in f_input2:
+        data = json.loads(line)
+        json.dump(data, f_output)
+        f_output.write('\n')

xtunerformat.py

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+import csv
+import json
+
+csv_file = 'Read_Comperhension50k.csv'
+jsonl_file = 'Xtuner_Read_Comperhension50k.jsonl'
+
+# 生成JSONL文件
+messages = []
+
+with open(csv_file, 'r', encoding='utf-8') as file:
+    reader = csv.reader(file)
+    next(reader)  # 跳过标题行
+
+    for row in reader:
+        if len(row) >= 3:
+            insturction = row[0]
+            input= row[1]
+            output = row[2]
+            conversation = [
+        {
+            "system": insturction,
+            "input": input,
+            "output": output
+        }
+    ]
+            messages.append({"conversation": conversation})
+# 保存为JSONL文件
+with open(jsonl_file, 'w', encoding='utf-8') as file:
+    for message in messages:
+        file.write(json.dumps(message, ensure_ascii=False) + '\n')
+