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feat: add the shape of the CSV to the dataset description (#561)
* add csv's shape info to data description * fix CI
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@@ -97,7 +97,6 @@ def describe_data_folder(folder_path, indent=0, max_files=2, partial_expand_subf
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dirs.sort()
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if not dirs:
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for file in files:
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print(file)
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file_path = os.path.join(root, file)
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file_type = os.path.splitext(file)[1][1:]
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file_size = os.path.getsize(file_path)
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@@ -186,14 +185,16 @@ def describe_data_folder(folder_path, indent=0, max_files=2, partial_expand_subf
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result.append(" " * (indent + 2) + "... (file limit reached)")
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else:
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for file, size, path in files_details[file_type]:
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result.append(" " * indent + f"- {file} ({size} bytes)")
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if file_type == "csv":
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df = pd.read_csv(path)
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result.append(
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" " * indent + f"- {file} ({size} bytes, with {df.shape[0]} rows and {df.shape[1]} columns)"
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)
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result.append(" " * (indent + 2) + f"- Head of {file}:")
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csv_head = read_csv_head(path, indent + 4)
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# if len(csv_head) > 300:
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# csv_head = " ".join(csv_head.strip().split())
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# csv_head = csv_head[:300] + "\n" + " " * (indent + 4) + "... (truncated)"
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result.append(csv_head)
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continue
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result.append(" " * indent + f"- {file} ({size} bytes)")
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if file_type == "md":
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result.append(" " * (indent + 2) + f"- Content of {file}:")
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if file == "description.md":
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