Upload dataset creation/split script

create_dataset.ipynb

@@ -0,0 +1,181 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import dotenv\n",
+    "dotenv.load_dotenv()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DatasetDict({\n",
+      "    train: Dataset({\n",
+      "        features: ['func', 'target', 'cwe', 'project', 'commit_id', 'hash', 'size', 'message'],\n",
+      "        num_rows: 264393\n",
+      "    })\n",
+      "    validation: Dataset({\n",
+      "        features: ['func', 'target', 'cwe', 'project', 'commit_id', 'hash', 'size', 'message'],\n",
+      "        num_rows: 33049\n",
+      "    })\n",
+      "    test: Dataset({\n",
+      "        features: ['func', 'target', 'cwe', 'project', 'commit_id', 'hash', 'size', 'message'],\n",
+      "        num_rows: 33050\n",
+      "    })\n",
+      "})\n",
+      "{'func': 'static boolean ReadICCProfile(j_decompress_ptr jpeg_info)\\n{\\n  char\\n    magick[12];\\n\\n  ErrorManager\\n    *error_manager;\\n\\n  ExceptionInfo\\n    *exception;\\n\\n  Image\\n    *image;\\n\\n  MagickBooleanType\\n    status;\\n\\n  register ssize_t\\n    i;\\n\\n  register unsigned char\\n    *p;\\n\\n  size_t\\n    length;\\n\\n  StringInfo\\n    *icc_profile,\\n    *profile;\\n\\n  /*\\n    Read color profile.\\n  */\\n  length=(size_t) ((size_t) GetCharacter(jpeg_info) << 8);\\n  length+=(size_t) GetCharacter(jpeg_info);\\n  length-=2;\\n  if (length <= 14)\\n    {\\n      while (length-- > 0)\\n        if (GetCharacter(jpeg_info) == EOF)\\n          break;\\n      return(TRUE);\\n    }\\n  for (i=0; i < 12; i++)\\n    magick[i]=(char) GetCharacter(jpeg_info);\\n  if (LocaleCompare(magick,ICC_PROFILE) != 0)\\n    {\\n      /*\\n        Not a ICC profile, return.\\n      */\\n      for (i=0; i < (ssize_t) (length-12); i++)\\n        if (GetCharacter(jpeg_info) == EOF)\\n          break;\\n      return(TRUE);\\n    }\\n  (void) GetCharacter(jpeg_info);  /* id */\\n  (void) GetCharacter(jpeg_info);  /* markers */\\n  length-=14;\\n  error_manager=(ErrorManager *) jpeg_info->client_data;\\n  exception=error_manager->exception;\\n  image=error_manager->image;\\n  profile=BlobToStringInfo((const void *) NULL,length);\\n  if (profile == (StringInfo *) NULL)\\n    {\\n      (void) ThrowMagickException(exception,GetMagickModule(),\\n        ResourceLimitError,\"MemoryAllocationFailed\",\"`%s\\'\",image->filename);\\n      return(FALSE);\\n    }\\n  error_manager->profile=profile;\\n  p=GetStringInfoDatum(profile);\\n  for (i=0; i < (ssize_t) length; i++)\\n  {\\n    int\\n      c;\\n\\n    c=GetCharacter(jpeg_info);\\n    if (c == EOF)\\n      break;\\n    *p++=(unsigned char) c;\\n  }\\n  if (i != (ssize_t) length)\\n    {\\n      profile=DestroyStringInfo(profile);\\n      (void) ThrowMagickException(exception,GetMagickModule(),\\n        CorruptImageError,\"InsufficientImageDataInFile\",\"`%s\\'\",\\n        image->filename);\\n      return(FALSE);\\n    }\\n  error_manager->profile=NULL;\\n  icc_profile=(StringInfo *) GetImageProfile(image,\"icc\");\\n  if (icc_profile != (StringInfo *) NULL)\\n    {\\n      ConcatenateStringInfo(icc_profile,profile);\\n      profile=DestroyStringInfo(profile);\\n    }\\n  else\\n    {\\n      status=SetImageProfile(image,\"icc\",profile,exception);\\n      profile=DestroyStringInfo(profile);\\n      if (status == MagickFalse)\\n        {\\n          (void) ThrowMagickException(exception,GetMagickModule(),\\n            ResourceLimitError,\"MemoryAllocationFailed\",\"`%s\\'\",image->filename);\\n          return(FALSE);\\n        }\\n    }\\n  if (image->debug != MagickFalse)\\n    (void) LogMagickEvent(CoderEvent,GetMagickModule(),\\n      \"Profile: ICC, %.20g bytes\",(double) length);\\n  return(TRUE);\\n}', 'target': 1, 'cwe': ['CWE-416'], 'project': 'ImageMagick', 'commit_id': '39f226a9c137f547e12afde972eeba7551124493', 'hash': 1.623740923374004e+38, 'size': 111, 'message': 'https://github.com/ImageMagick/ImageMagick/issues/1641'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from datasets import load_dataset, DatasetDict\n",
+    "import os\n",
+    "\n",
+    "dataset = load_dataset(\"json\", data_files=\"diversevul_20230702.jsonl\")\n",
+    "\n",
+    "# Split into train/valid/test\n",
+    "train_valid = dataset[\"train\"].train_test_split(test_size=0.2, seed=0, train_indices_cache_file_name=\"train.indices\")\n",
+    "train_data, valid_data = train_valid[\"train\"], train_valid[\"test\"]\n",
+    "valid_test = valid_data.train_test_split(test_size=0.5, seed=0, train_indices_cache_file_name=\"valid.indices\", test_indices_cache_file_name=\"test.indices\")\n",
+    "valid_data, test_data = valid_test[\"train\"], valid_test[\"test\"]\n",
+    "dataset = DatasetDict({\n",
+    "    \"train\": train_data,\n",
+    "    \"validation\": valid_data,\n",
+    "    \"test\": test_data,\n",
+    "})\n",
+    "\n",
+    "print(dataset)\n",
+    "print(dataset[\"train\"][0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset.save_to_disk(\"diversevul\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Pushing dataset shards to the dataset hub: 100%|██████████| 2/2 [00:00<00:00, 543.87it/s]\n",
+      "\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "Creating parquet from Arrow format: 100%|██████████| 34/34 [00:03<00:00,  8.88ba/s]\n",
+      "Pushing dataset shards to the dataset hub: 100%|██████████| 1/1 [00:12<00:00, 12.34s/it]\n",
+      "\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "\u001b[A\n",
+      "Creating parquet from Arrow format: 100%|██████████| 34/34 [00:03<00:00,  9.98ba/s]\n",
+      "Pushing dataset shards to the dataset hub: 100%|██████████| 1/1 [00:11<00:00, 11.55s/it]\n",
+      "Downloading metadata: 100%|██████████| 263/263 [00:00<00:00, 495kB/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "dataset.push_to_hub(\"benjis/diversevul\", token=os.getenv(\"HUGGINGFACEHUB_API_TOKEN\"))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}