Update README.md

README.md

@@ -29,3 +29,43 @@ configs:
   - split: train
     path: data/train-*
 ---
+```python
+ds_up = ds_debug.map(lambda x, idx: {"problem_id": f"swe_fixer_{idx}"}, with_indices=True)
+ds_up = ds_up.map(lambda x: {"source": "internlm/SWE-Fixer-Train-Editing-CoT-70K", "task_type": "swe_fixer"})
+
+num_proc = 16
+
+# Function to format code files for display
+def format_files(files):
+    formatted = ""
+    for file_info in files:
+        formatted += f"## `{file_info['file']}`\n```\n{file_info['file content']}\n```\n\n"
+    return formatted
+
+ds_up = ds_up.map(lambda x: {"in_source_id": x["instance_id"]}, num_proc=num_proc)
+
+# Format the prompt using the template
+ds_up = ds_up.map(lambda x: {
+    "prompt": prompt_template.format(
+        issue_description=x['input']['input']['issue'],
+        files=format_files(x['input']['input']['files to be modified'])
+    )
+}, num_proc=num_proc)
+
+# Format the golden_standard_solution properly - use repr() to ensure it's a valid Python literal
+ds_up = ds_up.map(lambda x: {"golden_standard_solution": repr({
+    "edited code": x["output"]["edited code"]
+})}, num_proc=num_proc)
+
+ds_up = ds_up.map(lambda x: {"verification_info": repr({
+    "input": x["input"]["input"],
+    "output": x["output"]
+})}, num_proc=num_proc)
+
+# Format the metadata as a string representation of a dictionary
+ds_up = ds_up.map(lambda x: {"metadata": repr({
+    # "input": x["input"]["input"]
+})}, num_proc=num_proc)
+
+ds_up = ds_up.select_columns(["problem_id", "source", "task_type", "in_source_id", "prompt", "golden_standard_solution", "verification_info", "metadata"])
+```