{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9781d39a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import gradio as gr\n",
    "from datasets import load_dataset\n",
    "from PIL import Image\n",
    "import io\n",
    "\n",
    "# 载入数据集\n",
    "ds = load_dataset(\"ziyjiang/MMEB_Test_Instruct\",'CIRR', split=\"test\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9ec4e59b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset({\n",
      "    features: ['qry_text', 'qry_img_path', 'tgt_text', 'tgt_img_path', 'qry_inst', 'tgt_inst'],\n",
      "    num_rows: 1000\n",
      "})\n"
     ]
    }
   ],
   "source": [
    "print(ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "74b9890f",
   "metadata": {},
   "outputs": [],
   "source": [
    "sample = ds[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f4920794",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "qry_text:Show three bottles of soft drink.\n",
      "tgt_text\n",
      "qry_inst<|image_1|>\n",
      "Given an image, find a similar everyday image with the described changes:\n",
      "tgt_inst<|image_1|>\n",
      "Represent the given image.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"qry_text:\"+ str(sample[\"qry_text\"]))\n",
    "print(\"tgt_text\"+str(sample[\"tgt_text\"][0]))\n",
    "print(\"qry_inst\"+str(sample[\"qry_inst\"]))\n",
    "print(\"tgt_inst\"+str(sample['tgt_inst']))"
   ]
  }
 ],
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