{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "211085a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from modelscope.msdatasets import MsDataset\n",
    "split = \"test\"\n",
    "split = \"validation\"\n",
    "ds =  MsDataset.load('AI-ModelScope/ScienceQA', subset_name='default', split=split)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cd69e641",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ds[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "817c72e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "info = ds.info\n",
    "# info?\n",
    "from dataclasses import asdict\n",
    "\n",
    "info_dict = asdict(info)\n",
    "# info_dict\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d9892cae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'image': None, 'question': \"What does the verbal irony in this text suggest?\\nAccording to Mr. Herrera's kids, his snoring is as quiet as a jackhammer.\", 'choices': ['The snoring is loud.', 'The snoring occurs in bursts.'], 'answer': 0, 'hint': '', 'task': 'closed choice', 'grade': 'grade8', 'subject': 'language science', 'topic': 'figurative-language', 'category': 'Literary devices', 'skill': 'Interpret figures of speech', 'lecture': 'Figures of speech are words or phrases that use language in a nonliteral or unusual way. They can make writing more expressive.\\nVerbal irony involves saying one thing but implying something very different. People often use verbal irony when they are being sarcastic.\\nOlivia seems thrilled that her car keeps breaking down.\\nEach breakdown is as enjoyable as a punch to the face.', 'solution': \"The text uses verbal irony, which involves saying one thing but implying something very different.\\nAs quiet as a jackhammer suggests that the snoring is loud. A jackhammer is not quiet, and neither is Mr. Herrera's snoring.\", 'split': 'validation', 'index': 1}\n"
     ]
    }
   ],
   "source": [
    "# Add a new column named \"index\".\n",
    "# We'll create a 1-based index to match the target format's requirement.\n",
    "ds = ds.add_column(\"index\", range(1, len(ds) + 1))\n",
    "\n",
    "# You can verify the result by checking the first record:\n",
    "print(ds[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fca5f5f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'image': None, 'question': \"What does the verbal irony in this text suggest?\\nAccording to Mr. Herrera's kids, his snoring is as quiet as a jackhammer.\", 'choices': ['The snoring is loud.', 'The snoring occurs in bursts.'], 'answer': 0, 'hint': '', 'task': 'closed choice', 'grade': 'grade8', 'subject': 'language science', 'topic': 'figurative-language', 'category': 'Literary devices', 'skill': 'Interpret figures of speech', 'lecture': 'Figures of speech are words or phrases that use language in a nonliteral or unusual way. They can make writing more expressive.\\nVerbal irony involves saying one thing but implying something very different. People often use verbal irony when they are being sarcastic.\\nOlivia seems thrilled that her car keeps breaking down.\\nEach breakdown is as enjoyable as a punch to the face.', 'solution': \"The text uses verbal irony, which involves saying one thing but implying something very different.\\nAs quiet as a jackhammer suggests that the snoring is loud. A jackhammer is not quiet, and neither is Mr. Herrera's snoring.\", 'split': 'validation'}\n"
     ]
    }
   ],
   "source": [
    "ds = ds.add_column('split', [split] * len(ds))\n",
    "print(ds[0])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a4d0a81",
   "metadata": {},
   "source": [
    "处理 Image 变成 base64 字符串"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5fcba55d",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = ds.rename_column(\"image\", \"image_pil\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7d94a7f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ab3dca7654b74b39bea4024a9984751b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map:   0%|          | 0/4241 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from vlmeval.smp.vlm import encode_image_to_base64\n",
    "\n",
    "# 1. Define a function to process one record\n",
    "def encode_image(example):\n",
    "    try:\n",
    "        # The 'image' field might be None for some examples\n",
    "        image = None\n",
    "        if example['image_pil'] is not None:\n",
    "            # Apply the encoding function to the image in the record\n",
    "            image = encode_image_to_base64(example['image_pil'], fmt='PNG')\n",
    "        example['image2'] = image\n",
    "        return example\n",
    "    except Exception as e:\n",
    "        print(f\"Error encoding image: {e}\")\n",
    "        print(\"stucked at example: \", example)\n",
    "        example['image2'] = None\n",
    "        return example\n",
    "\n",
    "# 2. Apply this function to every record in the dataset\n",
    "ds = ds.map(encode_image, batched=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "65f2253b",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = ds.rename_column(\"image2\", \"image\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df99c373",
   "metadata": {},
   "source": [
    "把 answer 变成 ABCD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "41c3574b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "009de831518d407bada4b3818d6129f0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map:   0%|          | 0/4241 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "abcde = ['A', 'B', 'C', 'D', 'E']\n",
    "ds = ds.map(lambda x: {'answer': abcde[x['answer']]})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eabded0a",
   "metadata": {},
   "source": [
    "question, hint，task，grade，subject，topic，category，skill，lecture，solution都有了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b49ed3ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'image_pil': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=202x202>,\n",
       " 'question': \"Which animal's mouth is also adapted for bottom feeding?\",\n",
       " 'choices': ['discus', 'armored catfish'],\n",
       " 'answer': 'B',\n",
       " 'hint': \"Sturgeons eat invertebrates, plants, and small fish. They are bottom feeders. Bottom feeders find their food at the bottom of rivers, lakes, and the ocean.\\nThe 's mouth is located on the underside of its head and points downward. Its mouth is adapted for bottom feeding.\\nFigure: sturgeon.\",\n",
       " 'task': 'closed choice',\n",
       " 'grade': 'grade3',\n",
       " 'subject': 'natural science',\n",
       " 'topic': 'biology',\n",
       " 'category': 'Adaptations',\n",
       " 'skill': 'Animal adaptations: beaks, mouths, and necks',\n",
       " 'lecture': \"An adaptation is an inherited trait that helps an organism survive or reproduce. Adaptations can include both body parts and behaviors.\\nThe shape of an animal's mouth is one example of an adaptation. Animals' mouths can be adapted in different ways. For example, a large mouth with sharp teeth might help an animal tear through meat. A long, thin mouth might help an animal catch insects that live in holes. Animals that eat similar food often have similar mouths.\",\n",
       " 'solution': \"Look at the picture of the sturgeon.\\nThe sturgeon's mouth is located on the underside of its head and points downward. Its mouth is adapted for bottom feeding. The sturgeon uses its mouth to find food hidden in the sediment at the bottom of rivers, lakes, and the ocean.\\nNow look at each animal. Figure out which animal has a similar adaptation.\\nThe armored catfish's mouth is located on the underside of its head and points downward. Its mouth is adapted for bottom feeding.\\nThe discus's mouth is not located on the underside of its head. Its mouth is not adapted for bottom feeding.\",\n",
       " 'split': 'validation',\n",
       " 'index': 2,\n",
       " 'image': 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'}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[1]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c54fa7b",
   "metadata": {},
   "source": [
    "现在把 choices 列表，展开为 A, B, C, D, E 五个列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3ef3e341",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "51d87a040bce4e3da236b19ce9b65683",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map:   0%|          | 0/4241 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "abcde = ['A', 'B', 'C', 'D', 'E']\n",
    "def expand_choices(row):\n",
    "    choices = row['choices']\n",
    "    # 这是个大坑，本质上arrow是列数据集，而不是行数据集，所以如果不显式的设置新列会报错\n",
    "    # for i, choice in enumerate(choices):\n",
    "    #     row[abcde[i]] = choice\n",
    "    length = len(choices)\n",
    "    for i, choice in enumerate(abcde):\n",
    "        if i < length:\n",
    "            row[choice] = choices[i]\n",
    "        else:\n",
    "            row[choice] = None\n",
    "    return row\n",
    "ds = ds.map(expand_choices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8417a933",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'image_pil': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=202x202>,\n",
       " 'question': \"Which animal's mouth is also adapted for bottom feeding?\",\n",
       " 'choices': ['discus', 'armored catfish'],\n",
       " 'answer': 'B',\n",
       " 'hint': \"Sturgeons eat invertebrates, plants, and small fish. They are bottom feeders. Bottom feeders find their food at the bottom of rivers, lakes, and the ocean.\\nThe 's mouth is located on the underside of its head and points downward. Its mouth is adapted for bottom feeding.\\nFigure: sturgeon.\",\n",
       " 'task': 'closed choice',\n",
       " 'grade': 'grade3',\n",
       " 'subject': 'natural science',\n",
       " 'topic': 'biology',\n",
       " 'category': 'Adaptations',\n",
       " 'skill': 'Animal adaptations: beaks, mouths, and necks',\n",
       " 'lecture': \"An adaptation is an inherited trait that helps an organism survive or reproduce. Adaptations can include both body parts and behaviors.\\nThe shape of an animal's mouth is one example of an adaptation. Animals' mouths can be adapted in different ways. For example, a large mouth with sharp teeth might help an animal tear through meat. A long, thin mouth might help an animal catch insects that live in holes. Animals that eat similar food often have similar mouths.\",\n",
       " 'solution': \"Look at the picture of the sturgeon.\\nThe sturgeon's mouth is located on the underside of its head and points downward. Its mouth is adapted for bottom feeding. The sturgeon uses its mouth to find food hidden in the sediment at the bottom of rivers, lakes, and the ocean.\\nNow look at each animal. Figure out which animal has a similar adaptation.\\nThe armored catfish's mouth is located on the underside of its head and points downward. Its mouth is adapted for bottom feeding.\\nThe discus's mouth is not located on the underside of its head. Its mouth is not adapted for bottom feeding.\",\n",
       " 'split': 'validation',\n",
       " 'index': 2,\n",
       " 'image': 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',\n",
       " 'A': 'discus',\n",
       " 'B': 'armored catfish',\n",
       " 'C': None,\n",
       " 'D': None,\n",
       " 'E': None}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1aa3dd1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4241"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b75c6d97",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = ds.remove_columns(['image_pil'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "75284494",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "86882d76",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>question</th>\n",
       "      <th>choices</th>\n",
       "      <th>answer</th>\n",
       "      <th>hint</th>\n",
       "      <th>task</th>\n",
       "      <th>grade</th>\n",
       "      <th>subject</th>\n",
       "      <th>topic</th>\n",
       "      <th>category</th>\n",
       "      <th>skill</th>\n",
       "      <th>lecture</th>\n",
       "      <th>solution</th>\n",
       "      <th>split</th>\n",
       "      <th>index</th>\n",
       "      <th>image</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "      <th>E</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>What does the verbal irony in this text sugges...</td>\n",
       "      <td>[The snoring is loud., The snoring occurs in b...</td>\n",
       "      <td>A</td>\n",
       "      <td></td>\n",
       "      <td>closed choice</td>\n",
       "      <td>grade8</td>\n",
       "      <td>language science</td>\n",
       "      <td>figurative-language</td>\n",
       "      <td>Literary devices</td>\n",
       "      <td>Interpret figures of speech</td>\n",
       "      <td>Figures of speech are words or phrases that us...</td>\n",
       "      <td>The text uses verbal irony, which involves say...</td>\n",
       "      <td>validation</td>\n",
       "      <td>1</td>\n",
       "      <td>None</td>\n",
       "      <td>The snoring is loud.</td>\n",
       "      <td>The snoring occurs in bursts.</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Which animal's mouth is also adapted for botto...</td>\n",
       "      <td>[discus, armored catfish]</td>\n",
       "      <td>B</td>\n",
       "      <td>Sturgeons eat invertebrates, plants, and small...</td>\n",
       "      <td>closed choice</td>\n",
       "      <td>grade3</td>\n",
       "      <td>natural science</td>\n",
       "      <td>biology</td>\n",
       "      <td>Adaptations</td>\n",
       "      <td>Animal adaptations: beaks, mouths, and necks</td>\n",
       "      <td>An adaptation is an inherited trait that helps...</td>\n",
       "      <td>Look at the picture of the sturgeon.\\nThe stur...</td>\n",
       "      <td>validation</td>\n",
       "      <td>2</td>\n",
       "      <td>iVBORw0KGgoAAAANSUhEUgAAAMoAAADKCAIAAABrB0j/AA...</td>\n",
       "      <td>discus</td>\n",
       "      <td>armored catfish</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Is this a sentence fragment?\\nDuring the const...</td>\n",
       "      <td>[no, yes]</td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>yes or no</td>\n",
       "      <td>grade12</td>\n",
       "      <td>language science</td>\n",
       "      <td>writing-strategies</td>\n",
       "      <td>Sentences, fragments, and run-ons</td>\n",
       "      <td>Identify sentence fragments</td>\n",
       "      <td>A sentence is a group of words that expresses ...</td>\n",
       "      <td>This is a sentence fragment. It does not expre...</td>\n",
       "      <td>validation</td>\n",
       "      <td>3</td>\n",
       "      <td>None</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Which of the following could Wendy's test show?</td>\n",
       "      <td>[whether producing more insulin would help the...</td>\n",
       "      <td>C</td>\n",
       "      <td>People can use the engineering-design process ...</td>\n",
       "      <td>closed choice</td>\n",
       "      <td>grade7</td>\n",
       "      <td>natural science</td>\n",
       "      <td>science-and-engineering-practices</td>\n",
       "      <td>Engineering practices</td>\n",
       "      <td>Evaluate tests of engineering-design solutions</td>\n",
       "      <td>People can use the engineering-design process ...</td>\n",
       "      <td></td>\n",
       "      <td>validation</td>\n",
       "      <td>4</td>\n",
       "      <td>iVBORw0KGgoAAAANSUhEUgAAAS4AAADoCAIAAADe5J4JAA...</td>\n",
       "      <td>whether producing more insulin would help the ...</td>\n",
       "      <td>whether different types of bacteria would need...</td>\n",
       "      <td>whether she added enough nutrients to help the...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Which correctly shows the title of a play?</td>\n",
       "      <td>[A breath of Fresh Air, A Breath of Fresh Air]</td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>closed choice</td>\n",
       "      <td>grade3</td>\n",
       "      <td>language science</td>\n",
       "      <td>capitalization</td>\n",
       "      <td>Formatting</td>\n",
       "      <td>Capitalizing titles</td>\n",
       "      <td>In a title, capitalize the first word, the las...</td>\n",
       "      <td>Capitalize the first word, the last word, and ...</td>\n",
       "      <td>validation</td>\n",
       "      <td>5</td>\n",
       "      <td>None</td>\n",
       "      <td>A breath of Fresh Air</td>\n",
       "      <td>A Breath of Fresh Air</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4236</th>\n",
       "      <td>Compare the motion of two fish. Which fish was...</td>\n",
       "      <td>[a fish that moved 20kilometers in 5hours, a f...</td>\n",
       "      <td>A</td>\n",
       "      <td></td>\n",
       "      <td>closed choice</td>\n",
       "      <td>grade2</td>\n",
       "      <td>natural science</td>\n",
       "      <td>physics</td>\n",
       "      <td>Force and motion</td>\n",
       "      <td>Compare the speeds of moving objects</td>\n",
       "      <td>An object's speed tells you how fast the objec...</td>\n",
       "      <td>Look at the distance each fish moved and the t...</td>\n",
       "      <td>validation</td>\n",
       "      <td>4237</td>\n",
       "      <td>None</td>\n",
       "      <td>a fish that moved 20kilometers in 5hours</td>\n",
       "      <td>a fish that moved 25kilometers in 5hours</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4237</th>\n",
       "      <td>Using only these supplies, which question can ...</td>\n",
       "      <td>[Do the squirrels select sunflower seeds or wa...</td>\n",
       "      <td>A</td>\n",
       "      <td>Garrett enjoys feeding the squirrels in his ba...</td>\n",
       "      <td>closed choice</td>\n",
       "      <td>grade7</td>\n",
       "      <td>natural science</td>\n",
       "      <td>science-and-engineering-practices</td>\n",
       "      <td>Designing experiments</td>\n",
       "      <td>Identify questions that can be investigated wi...</td>\n",
       "      <td>Experiments can be designed to answer specific...</td>\n",
       "      <td></td>\n",
       "      <td>validation</td>\n",
       "      <td>4238</td>\n",
       "      <td>None</td>\n",
       "      <td>Do the squirrels select sunflower seeds or wal...</td>\n",
       "      <td>Which type of tree do the squirrels feed from ...</td>\n",
       "      <td>Do the squirrels eat walnuts from large feeder...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4238</th>\n",
       "      <td>Which continent is highlighted?</td>\n",
       "      <td>[South America, North America, Europe, Africa]</td>\n",
       "      <td>C</td>\n",
       "      <td></td>\n",
       "      <td>closed choice</td>\n",
       "      <td>grade8</td>\n",
       "      <td>social science</td>\n",
       "      <td>geography</td>\n",
       "      <td>Physical Geography</td>\n",
       "      <td>Oceans and continents</td>\n",
       "      <td>A continent is one of the major land masses on...</td>\n",
       "      <td>This continent is Europe.</td>\n",
       "      <td>validation</td>\n",
       "      <td>4239</td>\n",
       "      <td>iVBORw0KGgoAAAANSUhEUgAAAsAAAAFmCAIAAADs4LvWAA...</td>\n",
       "      <td>South America</td>\n",
       "      <td>North America</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Africa</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4239</th>\n",
       "      <td>What kind of sentence is this?\\nGive Daniel a ...</td>\n",
       "      <td>[exclamatory, interrogative, imperative]</td>\n",
       "      <td>C</td>\n",
       "      <td></td>\n",
       "      <td>closed choice</td>\n",
       "      <td>grade6</td>\n",
       "      <td>language science</td>\n",
       "      <td>punctuation</td>\n",
       "      <td>Sentences, fragments, and run-ons</td>\n",
       "      <td>Is the sentence declarative, interrogative, im...</td>\n",
       "      <td>There are four kinds of sentences.\\nA declarat...</td>\n",
       "      <td>The sentence tells someone to do something, so...</td>\n",
       "      <td>validation</td>\n",
       "      <td>4240</td>\n",
       "      <td>None</td>\n",
       "      <td>exclamatory</td>\n",
       "      <td>interrogative</td>\n",
       "      <td>imperative</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4240</th>\n",
       "      <td>What information supports the conclusion that ...</td>\n",
       "      <td>[Rick's coworker also has curly hair., Rick's ...</td>\n",
       "      <td>B</td>\n",
       "      <td>Read the description of a trait.\\nRick has cur...</td>\n",
       "      <td>closed choice</td>\n",
       "      <td>grade7</td>\n",
       "      <td>natural science</td>\n",
       "      <td>biology</td>\n",
       "      <td>Genes to traits</td>\n",
       "      <td>Inherited and acquired traits: use evidence to...</td>\n",
       "      <td>Organisms, including people, have both inherit...</td>\n",
       "      <td></td>\n",
       "      <td>validation</td>\n",
       "      <td>4241</td>\n",
       "      <td>None</td>\n",
       "      <td>Rick's coworker also has curly hair.</td>\n",
       "      <td>Rick's biological father has curly hair.</td>\n",
       "      <td>Rick and his biological parents have brown hair.</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4241 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               question  \\\n",
       "0     What does the verbal irony in this text sugges...   \n",
       "1     Which animal's mouth is also adapted for botto...   \n",
       "2     Is this a sentence fragment?\\nDuring the const...   \n",
       "3       Which of the following could Wendy's test show?   \n",
       "4            Which correctly shows the title of a play?   \n",
       "...                                                 ...   \n",
       "4236  Compare the motion of two fish. Which fish was...   \n",
       "4237  Using only these supplies, which question can ...   \n",
       "4238                    Which continent is highlighted?   \n",
       "4239  What kind of sentence is this?\\nGive Daniel a ...   \n",
       "4240  What information supports the conclusion that ...   \n",
       "\n",
       "                                                choices answer  \\\n",
       "0     [The snoring is loud., The snoring occurs in b...      A   \n",
       "1                             [discus, armored catfish]      B   \n",
       "2                                             [no, yes]      B   \n",
       "3     [whether producing more insulin would help the...      C   \n",
       "4        [A breath of Fresh Air, A Breath of Fresh Air]      B   \n",
       "...                                                 ...    ...   \n",
       "4236  [a fish that moved 20kilometers in 5hours, a f...      A   \n",
       "4237  [Do the squirrels select sunflower seeds or wa...      A   \n",
       "4238     [South America, North America, Europe, Africa]      C   \n",
       "4239           [exclamatory, interrogative, imperative]      C   \n",
       "4240  [Rick's coworker also has curly hair., Rick's ...      B   \n",
       "\n",
       "                                                   hint           task  \\\n",
       "0                                                        closed choice   \n",
       "1     Sturgeons eat invertebrates, plants, and small...  closed choice   \n",
       "2                                                            yes or no   \n",
       "3     People can use the engineering-design process ...  closed choice   \n",
       "4                                                        closed choice   \n",
       "...                                                 ...            ...   \n",
       "4236                                                     closed choice   \n",
       "4237  Garrett enjoys feeding the squirrels in his ba...  closed choice   \n",
       "4238                                                     closed choice   \n",
       "4239                                                     closed choice   \n",
       "4240  Read the description of a trait.\\nRick has cur...  closed choice   \n",
       "\n",
       "        grade           subject                              topic  \\\n",
       "0      grade8  language science                figurative-language   \n",
       "1      grade3   natural science                            biology   \n",
       "2     grade12  language science                 writing-strategies   \n",
       "3      grade7   natural science  science-and-engineering-practices   \n",
       "4      grade3  language science                     capitalization   \n",
       "...       ...               ...                                ...   \n",
       "4236   grade2   natural science                            physics   \n",
       "4237   grade7   natural science  science-and-engineering-practices   \n",
       "4238   grade8    social science                          geography   \n",
       "4239   grade6  language science                        punctuation   \n",
       "4240   grade7   natural science                            biology   \n",
       "\n",
       "                               category  \\\n",
       "0                      Literary devices   \n",
       "1                           Adaptations   \n",
       "2     Sentences, fragments, and run-ons   \n",
       "3                 Engineering practices   \n",
       "4                            Formatting   \n",
       "...                                 ...   \n",
       "4236                   Force and motion   \n",
       "4237              Designing experiments   \n",
       "4238                 Physical Geography   \n",
       "4239  Sentences, fragments, and run-ons   \n",
       "4240                    Genes to traits   \n",
       "\n",
       "                                                  skill  \\\n",
       "0                           Interpret figures of speech   \n",
       "1          Animal adaptations: beaks, mouths, and necks   \n",
       "2                           Identify sentence fragments   \n",
       "3        Evaluate tests of engineering-design solutions   \n",
       "4                                   Capitalizing titles   \n",
       "...                                                 ...   \n",
       "4236               Compare the speeds of moving objects   \n",
       "4237  Identify questions that can be investigated wi...   \n",
       "4238                              Oceans and continents   \n",
       "4239  Is the sentence declarative, interrogative, im...   \n",
       "4240  Inherited and acquired traits: use evidence to...   \n",
       "\n",
       "                                                lecture  \\\n",
       "0     Figures of speech are words or phrases that us...   \n",
       "1     An adaptation is an inherited trait that helps...   \n",
       "2     A sentence is a group of words that expresses ...   \n",
       "3     People can use the engineering-design process ...   \n",
       "4     In a title, capitalize the first word, the las...   \n",
       "...                                                 ...   \n",
       "4236  An object's speed tells you how fast the objec...   \n",
       "4237  Experiments can be designed to answer specific...   \n",
       "4238  A continent is one of the major land masses on...   \n",
       "4239  There are four kinds of sentences.\\nA declarat...   \n",
       "4240  Organisms, including people, have both inherit...   \n",
       "\n",
       "                                               solution       split  index  \\\n",
       "0     The text uses verbal irony, which involves say...  validation      1   \n",
       "1     Look at the picture of the sturgeon.\\nThe stur...  validation      2   \n",
       "2     This is a sentence fragment. It does not expre...  validation      3   \n",
       "3                                                        validation      4   \n",
       "4     Capitalize the first word, the last word, and ...  validation      5   \n",
       "...                                                 ...         ...    ...   \n",
       "4236  Look at the distance each fish moved and the t...  validation   4237   \n",
       "4237                                                     validation   4238   \n",
       "4238                          This continent is Europe.  validation   4239   \n",
       "4239  The sentence tells someone to do something, so...  validation   4240   \n",
       "4240                                                     validation   4241   \n",
       "\n",
       "                                                  image  \\\n",
       "0                                                  None   \n",
       "1     iVBORw0KGgoAAAANSUhEUgAAAMoAAADKCAIAAABrB0j/AA...   \n",
       "2                                                  None   \n",
       "3     iVBORw0KGgoAAAANSUhEUgAAAS4AAADoCAIAAADe5J4JAA...   \n",
       "4                                                  None   \n",
       "...                                                 ...   \n",
       "4236                                               None   \n",
       "4237                                               None   \n",
       "4238  iVBORw0KGgoAAAANSUhEUgAAAsAAAAFmCAIAAADs4LvWAA...   \n",
       "4239                                               None   \n",
       "4240                                               None   \n",
       "\n",
       "                                                      A  \\\n",
       "0                                  The snoring is loud.   \n",
       "1                                                discus   \n",
       "2                                                    no   \n",
       "3     whether producing more insulin would help the ...   \n",
       "4                                 A breath of Fresh Air   \n",
       "...                                                 ...   \n",
       "4236           a fish that moved 20kilometers in 5hours   \n",
       "4237  Do the squirrels select sunflower seeds or wal...   \n",
       "4238                                      South America   \n",
       "4239                                        exclamatory   \n",
       "4240               Rick's coworker also has curly hair.   \n",
       "\n",
       "                                                      B  \\\n",
       "0                         The snoring occurs in bursts.   \n",
       "1                                       armored catfish   \n",
       "2                                                   yes   \n",
       "3     whether different types of bacteria would need...   \n",
       "4                                 A Breath of Fresh Air   \n",
       "...                                                 ...   \n",
       "4236           a fish that moved 25kilometers in 5hours   \n",
       "4237  Which type of tree do the squirrels feed from ...   \n",
       "4238                                      North America   \n",
       "4239                                      interrogative   \n",
       "4240           Rick's biological father has curly hair.   \n",
       "\n",
       "                                                      C       D     E  \n",
       "0                                                  None    None  None  \n",
       "1                                                  None    None  None  \n",
       "2                                                  None    None  None  \n",
       "3     whether she added enough nutrients to help the...    None  None  \n",
       "4                                                  None    None  None  \n",
       "...                                                 ...     ...   ...  \n",
       "4236                                               None    None  None  \n",
       "4237  Do the squirrels eat walnuts from large feeder...    None  None  \n",
       "4238                                             Europe  Africa  None  \n",
       "4239                                         imperative    None  None  \n",
       "4240   Rick and his biological parents have brown hair.    None  None  \n",
       "\n",
       "[4241 rows x 20 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = ds.to_pandas()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1536c07f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(f'data/ScienceQA_{split}-fixed.tsv', index=False, sep='\\t')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "de6aa822",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "info_dict = asdict(ds.info)\n",
    "json.dump(info_dict, open(f'info-default-{split}.json', 'w'), ensure_ascii=False, indent=2)"
   ]
  }
 ],
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