dataset changes

.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

Untitled.ipynb

@@ -0,0 +1,69 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f8aa7bfd-d3b4-4a22-a971-985d1c27a28e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "def rename_column_in_parquet_files(folder_path):\n",
+    "    # List all Parquet files in the folder\n",
+    "    files = [f for f in os.listdir(folder_path) if f.endswith('.parquet')]\n",
+    "    \n",
+    "    for file in files:\n",
+    "        file_path = os.path.join(folder_path, file)\n",
+    "        \n",
+    "        # Read the Parquet file\n",
+    "        df = pd.read_parquet(file_path)\n",
+    "        \n",
+    "        # Rename the column\n",
+    "        if 'answer' in df.columns:\n",
+    "            df.rename(columns={'answer': 'response'}, inplace=True)\n",
+    "            \n",
+    "            # Write back to Parquet (this will overwrite the existing file, ensure backup if necessary)\n",
+    "            df.to_parquet(file_path)\n",
+    "        else:\n",
+    "            print(f\"No 'answer' column found in {file}\")\n",
+    "\n",
+    "# Example usage:\n",
+    "folder_path = './'\n",
+    "rename_column_in_parquet_files(folder_path)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "452aeb11-2dc0-43f1-ae0d-32e88ea64335",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "thesis",
+   "language": "python",
+   "name": "thesis"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

test.parquet

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-size 82896031
+oid sha256:5d7d15f2fca0d3cb9627e21613b043a6904cadb37bf98f936af3ec4b0cbb90d8
+size 82896498

train.parquet

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-oid sha256:8459eaf6510e5b4ed7d90086402300419bc9563079a325634e422fa6c6e68571
-size 881702106
+oid sha256:88a5ad815468ad00b014f5835e954a21fba2bfc3e4bad10ca7673d52f71d350c
+size 881702586

validation.parquet

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-oid sha256:404a8ab2aa0c98813a01b6d36a3ffcccce4870cabb1ddfc0ab33644413c1afd6
-size 73956019
+oid sha256:5b3ead9ca401be40cb4c052d6949fc77ad207d9f5d0435fd189073c03cc075a4
+size 73956486