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"_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + } + } + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Modifying evendrow/INQUIRE-Rerank" + ], + "metadata": { + "id": "LQcWHgNnZhVj" + } + }, + { + "cell_type": "markdown", + "source": [ + "This notebook will modify evendrow/INQUIRE-Rerank to add a query id. This will help in scoring our Image Search system.\n", + "\n", + "**INQUIRE:**\n", + "- Paper: https://arxiv.org/pdf/2411.02537\n", + "- Github Repo: https://github.com/inquire-benchmark/INQUIRE\n", + "- Homepage: https://inquire-benchmark.github.io/\n", + "- Dataset: https://github.com/inquire-benchmark/INQUIRE/tree/main/data/" + ], + "metadata": { + "id": "kh_DiThUZm6h" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Prerequisites" + ], + "metadata": { + "id": "KHMH2l8najck" + } + }, + { + "cell_type": "code", + "source": [ + "%pip install datasets\n", + "%pip install huggingface_hub" + ], + "metadata": { + "id": "GAvtZbdSdtpN" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "id": "C0JgD-yXZcfU" + }, + "outputs": [], + "source": [ + "from datasets import load_dataset, DatasetDict\n", + "import numpy as np\n", + "from huggingface_hub import HfApi" + ] + }, + { + "cell_type": "markdown", + "source": [ + "## 1. Load the Dataset" + ], + "metadata": { + "id": "b7W1UqWeaoIe" + } + }, + { + "cell_type": "markdown", + "source": [ + "If you are using Google collab, remember to set the secret `HF_TOKEN`.\n", + "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks." + ], + "metadata": { + "id": "5ktv6c76ewvG" + } + }, + { + "cell_type": "code", + "source": [ + "# Load your dataset from Hugging Face\n", + "dataset = load_dataset(\"evendrow/INQUIRE-Rerank\")" + ], + "metadata": { + "id": "n2cwg26NastN" + }, + "execution_count": 11, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## 2. Collect all Unique Queries acrross ALL splits" + ], + "metadata": { + "id": "hLhwBGIacs5p" + } + }, + { + "cell_type": "code", + "source": [ + "all_queries = set()\n", + "for split in dataset.keys():\n", + " all_queries.update(dataset[split][\"query\"])" + ], + "metadata": { + "id": "r2JuMWIUcsGr" + }, + "execution_count": 4, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## 2. Generate Unique IDs for Each Query" + ], + "metadata": { + "id": "cgr4BZ_9ayeH" + } + }, + { + "cell_type": "markdown", + "source": [ + "We can create a mapping of each unique query to an incremental ID." + ], + "metadata": { + "id": "Lblf8i0ja2zB" + } + }, + { + "cell_type": "code", + "source": [ + "def add_query_id_column(examples):\n", + " \"\"\"Function to add `query_id` to each dataset split\"\"\"\n", + " examples[\"query_id\"] = [query_to_id[q] for q in examples[\"query\"]]\n", + " return examples\n", + "\n", + "# Assign each unique query a unique integer ID\n", + "query_to_id = {query: idx for idx, query in enumerate(sorted(all_queries))}\n", + "\n", + "# Apply transformation to all splits and wrap in DatasetDict\n", + "dataset = DatasetDict({\n", + " split: dataset[split].map(add_query_id_column, batched=True)\n", + " for split in dataset.keys()\n", + "})" + ], + "metadata": { + "id": "aIJeW09_azrI" + }, + "execution_count": 12, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Print sample to verify\n", + "print(dataset[\"validation\"][0])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xK434GI-byr_", + "outputId": "53c33e02-a5e6-49e6-feac-2293fb2657b5" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "{'image': , 'query': 'leopard on a road', 'relevant': 1, 'clip_score': 0.333251953125, 'inat24_image_id': 2821516, 'inat24_file_name': 'train/04684_Animalia_Chordata_Mammalia_Carnivora_Felidae_Panthera_pardus/03407823-c7e0-4a8c-b2f7-1bf9e6baa422.jpg', 'supercategory': 'Context', 'category': 'Human Impact', 'iconic_group': 'Mammals', 'inat24_species_id': 4684, 'inat24_species_name': 'Panthera pardus', 'latitude': 21.2294656384, 'longitude': 73.587988585, 'location_uncertainty': 30396.0, 'date': '2022-11-21 16:02:00+00:00', 'license': 'CC BY-NC 4.0', 'rights_holder': 'Neel Prajapati', 'query_id': 169}\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Print sample to verify\n", + "print(dataset[\"test\"][0])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "sPTqe7ijbzQC", + "outputId": "c8c55206-3bf6-4a47-ad1e-327df37c5fad" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "{'image': , 'query': 'A mongoose standing upright alert', 'relevant': 1, 'clip_score': 0.360595703125, 'inat24_image_id': 953152, 'inat24_file_name': 'train/04687_Animalia_Chordata_Mammalia_Carnivora_Herpestidae_Urva_auropunctata/05d10a77-bf97-467e-9535-d0016894d228.jpg', 'supercategory': 'Behavior', 'category': 'Defensive and Survival Behaviors', 'iconic_group': 'Mammals', 'inat24_species_id': 4687, 'inat24_species_name': 'Urva auropunctata', 'latitude': 19.7241106, 'longitude': -155.0868193, 'location_uncertainty': 10248.0, 'date': '2021-08-29 20:58:00+00:00', 'license': 'CC BY-NC 4.0', 'rights_holder': 'Monika Wood', 'query_id': 11}\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## 3. Push the Modified Dataset to Hugging Face" + ], + "metadata": { + "id": "Exi3DqAna8gI" + } + }, + { + "cell_type": "markdown", + "source": [ + "Finally we push the dataset to our organization." + ], + "metadata": { + "id": "ecibrucDbkrA" + } + }, + { + "cell_type": "code", + "source": [ + "repo_id = \"sagecontinuum/INQUIRE-Benchmark-small\"\n", + "\n", + "# Push the dataset\n", + "dataset.push_to_hub(repo_id)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 470, + "referenced_widgets": [ + "8d5c69454e6643f4be297602be841089", + "5809b92ece374fcfa8f54077979b8ce3", + "38e6f345db3a48fc9e4d04d6a0b12501", + "4ff15f0a8f2c43b49b338ee1cfa68c14", + "4e5d18ee40454fbcbdaf1fcc6005c6d1", + "d1cdddac8db649a6b799e38cd3f1c169", + "7b224dcc19f44af088d7ffa0605fafa5", + "064c4a0b76394836a8a8fb7dc18dc8e5", + "4085d9a00706481c81ef7ff3eecfe49f", + "0181788bee084cd6bc2587340f37d679", + "41884611d0b14ada80d2f72a66f15463", + "2e538bc70760439bb554f577e9b1651b", + 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