{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### This notebook demonstrates how to use Huggingface to download models and dataset, run inference, and create an output JSON to load into InspectorRAGet\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vgJfAJtXeIQF", "outputId": "0205e632-37c8-4a41-9795-71bf39061574" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/542.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m276.5/542.0 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m542.0/542.0 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta 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MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h" ] } ], "source": [ "!pip install -q transformers[torch] datasets evaluate" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "###\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "c3c02Xzymeb1", "outputId": "6b7baf2d-37db-4532-d9f0-b2482190daa2" }, "outputs": [], "source": [ "!pip install -q bitsandbytes trl peft" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "id": "5MV4IBA6GGtg" }, "outputs": [], "source": [ "# import locale\n", "# locale.getpreferredencoding = lambda: \"UTF-8\"" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "aerzCfPej6Oe", "outputId": "d32b04b9-45d0-4a93-f1ec-e31362e4d9d1" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting bert_score\n", " Downloading bert_score-0.3.13-py3-none-any.whl (61 kB)\n", "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/61.1 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m61.1/61.1 kB\u001b[0m \u001b[31m2.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: torch>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from bert_score) (2.2.1+cu121)\n", "Requirement already satisfied: pandas>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from bert_score) (2.0.3)\n", "Requirement already satisfied: transformers>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from bert_score) (4.40.0)\n", "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from bert_score) (1.25.2)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from bert_score) (2.31.0)\n", "Requirement already satisfied: tqdm>=4.31.1 in 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] }, { "cell_type": "markdown", "metadata": { "id": "dbCJkmVobi2k" }, "source": [ "# Load Dataset\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 540, "referenced_widgets": [ "eedfd80b50674748a0f104bf65ffe5ed", "38472b0819784713a80996de75f20cc0", "98c2dd8ffd474dcab380c889eeecb4da", "8b00fb8c3be44808af565b42133901d1", "463334a1d7234e82963d646113949881", "43cf36c059b2437182cdfc3c7d9059f5", "bf257efcc69e4225b171a67e98e44660", "3788ac59fb9540cba6415be8e56ca4d9", "1971de967cca4ff487d0b72e9c34c685", "ecb114c56fd94391adfb1f5add22b78f", "e815bbac8d7148f6a26544f28e967ce9", "9f853f5fb1dc4400a5cd9b7fba2da242", "c05058ba4c334a39947979e5e27774f6", "afeffa17060f491ea93685651086ec59", "cc396e921b104bd2928e57ca187880d8", "e35006719a154d5e901541aa38496e79", "fd6568cd2fb1409594e3745e2af81b93", "51b5d494e75040f2a5d3b98a8e121faa", "6eb7528aceca40809308b690250bb734", "426a6e5667ee48ea94c05f662fb9dd59", 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"6c907b529c524a4bbe949f4b1b7a04be", "90bf3f14611e43edbfb5ac9f732b179b", "ea8154ca0223439a98e31b58bf74557f", "7deaee76d35e44ad8e3b38dffff5abfd", "9d2528fc0b3945e58b584ce6c7bd6f72", "222cfbb484d14159b6144a65601cd49c", "19c331dff3fc45409256bf650c7febaf", "b2fc5c30444446969d9e32c07f17358b", "51af1331a8ee4d0c87c21caed6a484e0", "04c37e27c33643ef8c9d383119d446bc", "3f78e3ad8a6341a0b362093397e19151", "9f430ef448454783897b4b01b7a0e25d", "f8439693e1fb46c995688800d0066967", "39222e376c384668bdbb264699932899", "e05f6421195c44268edc553e6804d5f3", "3b18e88dfe73408f901de6f76141b5bb", "dd335546827140bb8a37961ca34b8563", "28e59fce8e1642cd85eb5afe9c6c7ac2", "aebbea7de1764bc997f2bdc7ca1505e6", "dfc1218b3b1c4e1fbd80065e3b33aaae", "a041172b0abe431d80fabbc360ba1cd8", "abd1b417220843efaafdfd2c69b5e3e7", "ed23d9fafc1a4f6899fbaab1f180a790", "11fcba0d81da469db3666008a49c4cdd", "752787f0e6f24c399974263d8381877a", "bcf56f08287248c0984efa9788aab325", "4d8d9023ecec414ebd428a8e7118730d", "20a3a8a1a83e41128bc1ed0d200342f5", "11b9d97d1d7a4ac5af41a12190c479f8", "ca07a5c05ec64f5ca636e5e81367478c", "e4709180103e47f38a3a74eac6147c5f", "2fea011687494752b541c8a14a1b5b08", "328989c329c74864bb27f7ddba186d89", "3e86e1466e3941ac9b53bcb023e0c163", "5c44a04af1554d188d1ba0004126b8da", "de683c8530544cd4b5ff62f3e3f4461d", "45eb2c2dc3e943efb261312cec3ff168", "3e1f3fc096604d41bc03df2094bbc3b1", "5bb351a0e7b64d2e8e55959930cf3c7d", "3e1d70b7c8414cbba97dd9ee64408616", "8e879616e64d4f44b8b4b6dc91d63c30", "c94645364919432ba89fcb44c2266b2f", "3b23fcab04a04a9f9063031b93a91387", "21e2a83e3beb4bcf8438fdf2afe5959b", "1e5c9f6bdc2b469aa8bb6c62543a7f9b", "fca693eed2264a249f96c02235b058c9", "7aa79711adde4f508462a8bb432a8d1b", "a770075575d74a8a873132708931fc32", "9b0f7526fdf84b49b5694d7e20e9c0d5", "3d6d3a123eca4430a0135b9ea640af96", "d212a95e0e694a12ab921b043769ecfa", "76863bdbd01c40ffbd86858c8fdb1549", "b90dcbabf24e4b01b84c750e28227b8b", "4863fb110b3d4048b856ccd1eed8ff33", 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"c969f5ad4d95404db109a5f8c81bad2a", "cc6400266dd04d59a6b853504eff5abf", "21990e1ce37d45dcaa8ff94cc90e9ed7", "886931d9a0dc4848941382c985f550a0", "e9b983398e1f453a9bd822227aa58f36", "1a2f28a53a5540a69dc560060ed5f297", "0d1622d181bb43efac8e90d274162a99", "91308528036045189677a606b1cf1fe9", "e89e1a695dbf44ba9eacb803a69636ad", "ec4ec68f9d6a4c81a8e639a4b205dd36", "416af691276146a2a12ba1678c899ed4", "fe40b7b5b03f4c49a8937953460b1cd5", "46699b45386542cb9fdb7746138ea1af", "abc88ad9ea724caebd05c8979b19b90e", "5c68388c272a44179cd2211937e6b68b" ] }, "id": "0O-A6ifpbcbm", "outputId": "f9fcc745-15b0-448d-98c7-3e8417b36144" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\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.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "eedfd80b50674748a0f104bf65ffe5ed", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading readme: 0%| | 0.00/6.77k [00:00 100_000:\n", " tokenizer_1.model_max_length = 2048\n", "\n", "DEFAULT_CHAT_TEMPLATE = \"{% for message in messages %}\\n{% if message['role'] == 'user' %}\\n{{ '<|user|>\\n' + message['content'] + eos_token }}\\n{% elif message['role'] == 'system' %}\\n{{ '<|system|>\\n' + message['content'] + eos_token }}\\n{% elif message['role'] == 'assistant' %}\\n{{ '<|assistant|>\\n' + message['content'] + eos_token }}\\n{% endif %}\\n{% if loop.last and add_generation_prompt %}\\n{{ '<|assistant|>' }}\\n{% endif %}\\n{% endfor %}\"\n", "tokenizer_1.chat_template = DEFAULT_CHAT_TEMPLATE" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 145, "referenced_widgets": [ "341089989383455fa92cbf447bbd4226", "aaab0021268b40d7afccd3508c74a35d", "205007e53cfa4c6190183b140b07f2b9", "f5b9b2cb84a74d21a8aba67cafd00979", "a96594b50c284367b395563d5995a6a9", "a9642c941ec747c1ac18b7bb30972b02", "6328af726f7f43838235955513219a52", "de4a361399ba44da98739ce08fdbc041", "c5bbed6fad864f638fdd618f95b1ddc9", "5fba30562c5545c9be124f15fc2bd754", "787b10c10d764a0f8a7ad695a3fd2753", "80f819350ed7432f923c092c09449f0b", "59c0524752ee4b749343866da932f2ee", "26abe6655f4145ee8261d504cff1cc0b", "22156dd16e624d0a8736a5928b461fed", "4d5e38d712d74130b95d9f75bcf244d1", "9ae313a84e6743dbb004c16dfa38bb37", "71b76f1201ca41a4a2e65ec29cbb7ebc", "c3efe82242fe445ba7444cf3dab8e4e4", "54ba99ba2b874c39a9766a1d6e9181a7", "9e7ab887d893497fbf04c236d33f84ec", "c1e693209c6a4c4c9404faa57d05b9c1", "a7c0ed4fe72d4de4be970a0f9ac88929", "0fc83ee2ebf84bcea6f69e9cd1f82d3b", "55a46697ddf94fe0af4b40f6ae7ccc7c", "965003a2d3034b37911859a8ada522ff", "a18dc43d23e748f5a3e081b53bd7fcc7", "774ad238bb674404b6ce8c8a33425766", "8a6bd97167af46ee864a62ea14f000a4", "34de9365931145609a0a71c464e68710", "f0b3c9ba874c41b28681ce71f525a2d3", "b91792f0966c4b8ca5d058bfe00b848d", "73141b8f4c81498bb111d20394d9f4d9", "cb42481637f74c22a99773214269f038", "8c0b01425599400cb0cb78134a796a4b", "f3a6a0142b12468a9e100653c63d20f4", "bc9f8d57254a4a578a336a9074dbfbf2", "6c95833354e745619f72e4fb3dafe52b", "33489fbf17294aeeb88bf477c1e32897", "c95b5cadee5d4561907e2df6d4db2cd6", "61402d7503c644c59624738d73902ee5", "e467097afe154146bc4f0e8839e3b42e", "6fbb697ecd6b4bc48b4546fabb3fd56e", "98269bedd5b24f1ab41d815a1bc0dd88" ] }, "id": "vHcM_B8kp9Ac", "outputId": "0da7cfe8-ce23-40eb-80f2-21e08c8dfc83" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "341089989383455fa92cbf447bbd4226", "version_major": 2, "version_minor": 0 }, "text/plain": [ "tokenizer_config.json: 0%| | 0.00/967 [00:00 100_000:\n", " tokenizer_2.model_max_length = 2048\n", "\n", "# Set chat template\n", "DEFAULT_CHAT_TEMPLATE = \"{% for message in messages %}\\n{% if message['role'] == 'user' %}\\n{{ '<|user|>\\n' + message['content'] + eos_token }}\\n{% elif message['role'] == 'system' %}\\n{{ '<|system|>\\n' + message['content'] + eos_token }}\\n{% elif message['role'] == 'assistant' %}\\n{{ '<|assistant|>\\n' + message['content'] + eos_token }}\\n{% endif %}\\n{% if loop.last and add_generation_prompt %}\\n{{ '<|assistant|>' }}\\n{% endif %}\\n{% endfor %}\"\n", "tokenizer_2.chat_template = DEFAULT_CHAT_TEMPLATE" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "7kpM04PJjHWT", "outputId": "ba2deafc-421b-44cf-96b6-889b56652150" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Prompt sample 1 of the raw test set:\n", "\n", "The floor of a rectangular room is 19 m long and 12 m wide. The room is surrounded by a veranda of width 2 m on all its sides. The area of the veranda is :\n", "Options:\n", "(A) 144 m2\n", "(B) 140 m2\n", "(C) 108 m2\n", "(D) 158 m2\n", "(E) None of these\n", "Answer and stream of consciousness: (B)\n", "Stream of consciousness: Area of the outer rectangle = 23 × 16 = 368 m2\n", "Area of the inner rectangle = 19 × 12 = 228 m2\n", "Required area = (368 – 228) = 140 m2\n", "\n", "\n", "A no. when divided by the sum of 555 and 445 gives 2times their difference as quotient & 30 as remainder. Find the no. is?\n", "Options:\n", "(A) 124432\n", "(B) 145366\n", "(C) 157768\n", "(D) 178432\n", "(E) 220030\n", "Answer and stream of consciousness: (E)\n", "Stream of consciousness: (555 + 445) * 2 * 110 + 30 = 220000 + 30 = 220030\n", "\n", "\n", "The game of blackjack is played with a deck consisting of 13 cards (one of each of the numbers 2-10, one jack, one queen, one king, and one of ace) in each of four suits: clubs, diamonds, hearts, and spades.\n", "In a game of blackjack, if your first card is a spade, what are the odds that it is an ace?\n", "Options:\n", "(A) 1/52\n", "(B) 1/26\n", "(C) 1/13\n", "(D) 1/4\n", "(E) 5/13\n", "Answer and stream of consciousness: (C)\n", "Stream of consciousness: There are 13 spades, the probability that the spade we already have is an ace is therefore 1/13.\n", "\n", "\n", "Jade has 4 flavors of ice cream in his parlor. How many options are there for James to pick a one-flavor, two-flavor, three-flavor or four-flavor order?\n", "Options:\n", "(A) 15\n", "(B) 13\n", "(C) 14\n", "(D) 17\n", "(E) 18\n", "Answer and stream of consciousness:\n", "Messages sample 1 of the raw test set:\n", "\n", "[{'content': 'The floor of a rectangular room is 19 m long and 12 m wide. The room is surrounded by a veranda of width 2 m on all its sides. The area of the veranda is :\\nOptions:\\n(A) 144 m2\\n(B) 140 m2\\n(C) 108 m2\\n(D) 158 m2\\n(E) None of these\\nAnswer and stream of consciousness: (B)\\nStream of consciousness: Area of the outer rectangle = 23 × 16 = 368 m2\\nArea of the inner rectangle = 19 × 12 = 228 m2\\nRequired area = (368 – 228) = 140 m2\\n\\n\\nA no. when divided by the sum of 555 and 445 gives 2times their difference as quotient & 30 as remainder. Find the no. is?\\nOptions:\\n(A) 124432\\n(B) 145366\\n(C) 157768\\n(D) 178432\\n(E) 220030\\nAnswer and stream of consciousness: (E)\\nStream of consciousness: (555 + 445) * 2 * 110 + 30 = 220000 + 30 = 220030\\n\\n\\nThe game of blackjack is played with a deck consisting of 13 cards (one of each of the numbers 2-10, one jack, one queen, one king, and one of ace) in each of four suits: clubs, diamonds, hearts, and spades.\\nIn a game of blackjack, if your first card is a spade, what are the odds that it is an ace?\\nOptions:\\n(A) 1/52\\n(B) 1/26\\n(C) 1/13\\n(D) 1/4\\n(E) 5/13\\nAnswer and stream of consciousness: (C)\\nStream of consciousness: There are 13 spades, the probability that the spade we already have is an ace is therefore 1/13.\\n\\n\\nJade has 4 flavors of ice cream in his parlor. How many options are there for James to pick a one-flavor, two-flavor, three-flavor or four-flavor order?\\nOptions:\\n(A) 15\\n(B) 13\\n(C) 14\\n(D) 17\\n(E) 18\\nAnswer and stream of consciousness:', 'role': 'user'}, {'content': '1. (B) The floor of a rectangular room is 19 m long and 12 m wide. The room is surrounded by a veranda of width 2 m on all its sides. The total area of the outer rectangle is 23 square meters, while the total area of the inner rectangle is 24 square meters. Therefore, the correct option is (B), which has an outer rectangle with an area of 144 square meters.\\n\\n2. None of these\\n\\n3. The game of blackjack is played with a deck consisting of 13 cards (one of each of the numbers 2-10, one jack, one queen, one king, and one of ace) in each of four suits: clubs, diamonds, hearts, and spades. The chance that the first card is a spade is 1/13. The chance that the spade is an ace is 1/13, since there are 13 spades in the deck. Therefore, the probability that the first card is a spade and the second card is an ace is 1/13 * 1/13, or 1/169. The chance that the first two cards form a blackjack (a natural 21) is 4/169, or about 22.4%. So the probability that the player receives an ace on the first card (given that the first card is a spade) is 4/52 * 22.4%, or about 1/26.\\n\\n4. James has four choices for his order: one flavor, two flavors, three flavors, or four flavors. Each of these orders has a different number of possibilities, as shown below:\\n- One flavor: 4 options (A, B, C, D)\\n- Two flavors: 3 options (AB, AC, AD, BC, BD, CD)\\n- Three flavors: 2 options (ABC, ABD, ACD, BCD)\\n- Four flavors: 1 option (ABCD)\\n\\nTherefore, the number of possible orders for James to choose from is 4C4, or 24.', 'role': 'assistant'}]\n", "Chosen sample 1 of the raw test set:\n", "\n", "[{'content': 'The floor of a rectangular room is 19 m long and 12 m wide. The room is surrounded by a veranda of width 2 m on all its sides. The area of the veranda is :\\nOptions:\\n(A) 144 m2\\n(B) 140 m2\\n(C) 108 m2\\n(D) 158 m2\\n(E) None of these\\nAnswer and stream of consciousness: (B)\\nStream of consciousness: Area of the outer rectangle = 23 × 16 = 368 m2\\nArea of the inner rectangle = 19 × 12 = 228 m2\\nRequired area = (368 – 228) = 140 m2\\n\\n\\nA no. when divided by the sum of 555 and 445 gives 2times their difference as quotient & 30 as remainder. Find the no. is?\\nOptions:\\n(A) 124432\\n(B) 145366\\n(C) 157768\\n(D) 178432\\n(E) 220030\\nAnswer and stream of consciousness: (E)\\nStream of consciousness: (555 + 445) * 2 * 110 + 30 = 220000 + 30 = 220030\\n\\n\\nThe game of blackjack is played with a deck consisting of 13 cards (one of each of the numbers 2-10, one jack, one queen, one king, and one of ace) in each of four suits: clubs, diamonds, hearts, and spades.\\nIn a game of blackjack, if your first card is a spade, what are the odds that it is an ace?\\nOptions:\\n(A) 1/52\\n(B) 1/26\\n(C) 1/13\\n(D) 1/4\\n(E) 5/13\\nAnswer and stream of consciousness: (C)\\nStream of consciousness: There are 13 spades, the probability that the spade we already have is an ace is therefore 1/13.\\n\\n\\nJade has 4 flavors of ice cream in his parlor. How many options are there for James to pick a one-flavor, two-flavor, three-flavor or four-flavor order?\\nOptions:\\n(A) 15\\n(B) 13\\n(C) 14\\n(D) 17\\n(E) 18\\nAnswer and stream of consciousness:', 'role': 'user'}, {'content': '1. (B) The floor of a rectangular room is 19 m long and 12 m wide. The room is surrounded by a veranda of width 2 m on all its sides. The total area of the outer rectangle is 23 square meters, while the total area of the inner rectangle is 24 square meters. Therefore, the correct option is (B), which has an outer rectangle with an area of 144 square meters.\\n\\n2. None of these\\n\\n3. The game of blackjack is played with a deck consisting of 13 cards (one of each of the numbers 2-10, one jack, one queen, one king, and one of ace) in each of four suits: clubs, diamonds, hearts, and spades. The chance that the first card is a spade is 1/13. The chance that the spade is an ace is 1/13, since there are 13 spades in the deck. Therefore, the probability that the first card is a spade and the second card is an ace is 1/13 * 1/13, or 1/169. The chance that the first two cards form a blackjack (a natural 21) is 4/169, or about 22.4%. So the probability that the player receives an ace on the first card (given that the first card is a spade) is 4/52 * 22.4%, or about 1/26.\\n\\n4. James has four choices for his order: one flavor, two flavors, three flavors, or four flavors. Each of these orders has a different number of possibilities, as shown below:\\n- One flavor: 4 options (A, B, C, D)\\n- Two flavors: 3 options (AB, AC, AD, BC, BD, CD)\\n- Three flavors: 2 options (ABC, ABD, ACD, BCD)\\n- Four flavors: 1 option (ABCD)\\n\\nTherefore, the number of possible orders for James to choose from is 4C4, or 24.', 'role': 'assistant'}]\n", "Rejected sample 1 of the raw test set:\n", "\n", "[{'content': 'The floor of a rectangular room is 19 m long and 12 m wide. The room is surrounded by a veranda of width 2 m on all its sides. The area of the veranda is :\\nOptions:\\n(A) 144 m2\\n(B) 140 m2\\n(C) 108 m2\\n(D) 158 m2\\n(E) None of these\\nAnswer and stream of consciousness: (B)\\nStream of consciousness: Area of the outer rectangle = 23 × 16 = 368 m2\\nArea of the inner rectangle = 19 × 12 = 228 m2\\nRequired area = (368 – 228) = 140 m2\\n\\n\\nA no. when divided by the sum of 555 and 445 gives 2times their difference as quotient & 30 as remainder. Find the no. is?\\nOptions:\\n(A) 124432\\n(B) 145366\\n(C) 157768\\n(D) 178432\\n(E) 220030\\nAnswer and stream of consciousness: (E)\\nStream of consciousness: (555 + 445) * 2 * 110 + 30 = 220000 + 30 = 220030\\n\\n\\nThe game of blackjack is played with a deck consisting of 13 cards (one of each of the numbers 2-10, one jack, one queen, one king, and one of ace) in each of four suits: clubs, diamonds, hearts, and spades.\\nIn a game of blackjack, if your first card is a spade, what are the odds that it is an ace?\\nOptions:\\n(A) 1/52\\n(B) 1/26\\n(C) 1/13\\n(D) 1/4\\n(E) 5/13\\nAnswer and stream of consciousness: (C)\\nStream of consciousness: There are 13 spades, the probability that the spade we already have is an ace is therefore 1/13.\\n\\n\\nJade has 4 flavors of ice cream in his parlor. How many options are there for James to pick a one-flavor, two-flavor, three-flavor or four-flavor order?\\nOptions:\\n(A) 15\\n(B) 13\\n(C) 14\\n(D) 17\\n(E) 18\\nAnswer and stream of consciousness:', 'role': 'user'}, {'content': 'Stream of consciousness: James can order one flavor or four flavors of ice cream. To get the number of combinations of one, two, three and four flavor ice creams, you could multiply the number of options for each flavor. There is one option for a one-flavor option, which is the flavor itself. There are four options for a two-flavor option, which are the two flavors themselves. There are six options for a three-flavor option, which are the three flavors themselves. And there is one option for a four-flavor option, which is to have all four flavors. Therefore, the total number of options is 1 + 4 + 6 + 1 = 12.\\n\\n\\nWhat is the total number of combinations for James to select two flavors of ice cream out of the four flavors offered by Jade?', 'role': 'assistant'}]\n" ] } ], "source": [ "import random\n", "\n", "# Print a few random samples from the training set:\n", "for index in random.sample(range(len(raw_datasets[\"test\"])), 1):\n", " print(\n", " f\"Prompt sample {index} of the raw test set:\\n\\n{raw_datasets['test'][index]['prompt']}\"\n", " )\n", " print(\n", " f\"Messages sample {index} of the raw test set:\\n\\n{raw_datasets['test'][index]['messages']}\"\n", " )\n", " print(\n", " f\"Chosen sample {index} of the raw test set:\\n\\n{raw_datasets['test'][index]['chosen']}\"\n", " )\n", " print(\n", " f\"Rejected sample {index} of the raw test set:\\n\\n{raw_datasets['test'][index]['rejected']}\"\n", " )" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "PsnZIDihwCxp", "outputId": "e2c82d52-3411-4974-d642-bf5fddc0ef7d" }, "outputs": [ { "data": { "text/plain": [ "[{'content': 'The floor of a rectangular room is 19 m long and 12 m wide. The room is surrounded by a veranda of width 2 m on all its sides. The area of the veranda is :\\nOptions:\\n(A) 144 m2\\n(B) 140 m2\\n(C) 108 m2\\n(D) 158 m2\\n(E) None of these\\nAnswer and stream of consciousness: (B)\\nStream of consciousness: Area of the outer rectangle = 23 × 16 = 368 m2\\nArea of the inner rectangle = 19 × 12 = 228 m2\\nRequired area = (368 – 228) = 140 m2\\n\\n\\nA no. when divided by the sum of 555 and 445 gives 2times their difference as quotient & 30 as remainder. Find the no. is?\\nOptions:\\n(A) 124432\\n(B) 145366\\n(C) 157768\\n(D) 178432\\n(E) 220030\\nAnswer and stream of consciousness: (E)\\nStream of consciousness: (555 + 445) * 2 * 110 + 30 = 220000 + 30 = 220030\\n\\n\\nThe game of blackjack is played with a deck consisting of 13 cards (one of each of the numbers 2-10, one jack, one queen, one king, and one of ace) in each of four suits: clubs, diamonds, hearts, and spades.\\nIn a game of blackjack, if your first card is a spade, what are the odds that it is an ace?\\nOptions:\\n(A) 1/52\\n(B) 1/26\\n(C) 1/13\\n(D) 1/4\\n(E) 5/13\\nAnswer and stream of consciousness: (C)\\nStream of consciousness: There are 13 spades, the probability that the spade we already have is an ace is therefore 1/13.\\n\\n\\nJade has 4 flavors of ice cream in his parlor. How many options are there for James to pick a one-flavor, two-flavor, three-flavor or four-flavor order?\\nOptions:\\n(A) 15\\n(B) 13\\n(C) 14\\n(D) 17\\n(E) 18\\nAnswer and stream of consciousness:',\n", " 'role': 'user'},\n", " {'content': '1. (B) The floor of a rectangular room is 19 m long and 12 m wide. The room is surrounded by a veranda of width 2 m on all its sides. The total area of the outer rectangle is 23 square meters, while the total area of the inner rectangle is 24 square meters. Therefore, the correct option is (B), which has an outer rectangle with an area of 144 square meters.\\n\\n2. None of these\\n\\n3. The game of blackjack is played with a deck consisting of 13 cards (one of each of the numbers 2-10, one jack, one queen, one king, and one of ace) in each of four suits: clubs, diamonds, hearts, and spades. The chance that the first card is a spade is 1/13. The chance that the spade is an ace is 1/13, since there are 13 spades in the deck. Therefore, the probability that the first card is a spade and the second card is an ace is 1/13 * 1/13, or 1/169. The chance that the first two cards form a blackjack (a natural 21) is 4/169, or about 22.4%. So the probability that the player receives an ace on the first card (given that the first card is a spade) is 4/52 * 22.4%, or about 1/26.\\n\\n4. James has four choices for his order: one flavor, two flavors, three flavors, or four flavors. Each of these orders has a different number of possibilities, as shown below:\\n- One flavor: 4 options (A, B, C, D)\\n- Two flavors: 3 options (AB, AC, AD, BC, BD, CD)\\n- Three flavors: 2 options (ABC, ABD, ACD, BCD)\\n- Four flavors: 1 option (ABCD)\\n\\nTherefore, the number of possible orders for James to choose from is 4C4, or 24.',\n", " 'role': 'assistant'}]" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "raw_datasets[\"test\"][index][\"messages\"]" ] }, { "cell_type": "markdown", "metadata": { "id": "yb9_PNw9jo2V" }, "source": [ "# Load Models and Generate Predictions\n" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 405, "referenced_widgets": [ "a858edc077194c5998664b7d66807b9e", "8d52929c632648868b273821521a882e", "db33d1a750534f0aa5a838874e921e96", "36143bd6a9934d19a85af56c50628ad2", "dbc6b6f052204969b714aa9f66c274ed", "98ddbdddc996442788187ea6b2de5e55", "9205af18d9cf4fc19831422d2c638e90", "bc09a242c513474bb4e64c3908a33e6b", "76513d61ab8b444eb357b6c3a1438fa8", "d7bfc79bfe744fea8acb36735cd36035", "a4e2965ff86943128968c664d3cb022b", "fc72a0c36b7947c691f03909815d8d36", "3d4533aae87e4172b46b1ce460e67216", "ea79734ddf734da59b38e748bb54b54c", "d557f3da157a45d3834c546c56c25579", "cc4995f9f52645aca6d8e1fc66030946", "404c4cb2c6d54af4836bd7d3a11f4438", "26a01b170e6e43069e7c9ace11c70ab3", "3d2961c30ded4817a1b430493dcc72c0", "131649b8220c4fe080ea5b983b004ea5", "4faf5d7435604d10b40e4c44ff1a12d4", "c76f5a16b0c5451fa6d7f3a96f01d8f9", "2fd4a9c8be494764af796d6aa51441ff", "cc15caba066a450a886b5e4656653565", "967278d2e8154866a524dbbd744fdc67", "6249b05754344efea1d7a2d8e70d0dc6", "44edb7d5ccae4f2786addcb335c89b20", "526ac2d665a642faafa54bd41f619f01", "c976baa7049c4aef85b0e0e4e630ad6d", "cf63969420f545be87be4042364351b0", "537c69899a0040fb8ca4dbf0ecd3e840", "eb569c7a091c4dad91de5916bbbbbd94", "e574bad6c039445c970ac263ad250604", "63fc7c2f08454a41a8dd9c9edc9233da", "b4b712564beb4c2d9202a039f5d74b07", "71b2e54bbb8743d188fa6a98b13bb70c", "e1885ede3b23471eb8100b9d4d427620", "8630d30121a14187a2fa3e40c30150ca", "cde69dd986e94fd4aa3b4bc1b1314f2f", "973f5e524f0943938e4ca3816e5ebf0c", "50c8d1efe7c546d586449f2803ec8390", "7b7c72b5ada947708f9ff0f503164fb7", "e1336664fe52495599ccc44c1775801f", "730dff3b2fb8425e8d3f986d0f7cf8f2", "46fb5287d71c48d584897a6a7abfdc57", "b1327a3efb1a4259bdb8957b48d37f3a", "b0fbc047c1174849a80bd595e7c5fb67", "b140ae479792418991961a13e47966d4", "afaac1eeb3bd4959a69c14769291c628", "d280bd27be2e40158111f198055ffd6d", "a4680b58af804352a05f5915c6df5d37", "8a358b4b9fb44e0f96e2c09ab14e895d", "6dbad458ee614b409e9a0cc907431202", "11b08d44b7814b5799774e16825a9d58", "e896308536c74049ab5f71a75dcc6b3a", "bdfc946d94d74103bca059c687c29ad4", "6ed5f83b2e8c43d6889d4722d99ff466", "711a36603c87449dab4637b97c968a49", "19692718759742b195afbee7729381f3", "5c3d5fdca80048349d3dd922054e0dbd", "6f8d389d19174dc88f6ba58820193d7c", "4b37a4be3fbc44918ec1949cdb5219b1", "26c16ba2dcff471fb8436946b9423d53", "dbae4bbadab1481d824fa99766d6a5bf", "bab6d82e18ac405486ef36f13d8b0c6e", "99e0be5136e84932a0a9007366a0c6f3", "5c7aef70dc034f1fb358c38118b6948c", "26cf968d40504312930c4f82860769ac", "6ef57d62b6a846ea9ce9d41764ff4aad", "f73a98cb0c534594ae6217ae6a27f9ce", "3f5fb4019cd94ffbb871874242f99ac5", "c8503c3d8d9341139b9c5bb7099cba74", "fbdf5d3fd0774211b8d7df4b6bf75004", "ac03fe8cd2d1497bb2a7b1f730634351", "380f310824b3461b957ec26315d1cc29", "8a20be237a804873a3b54bf46cf1eef7", "cff701ab8e164c139a269bb750f5692a", "6ae4b9312ee14c0f8e3a4151a2a844e0", "dbc5eb81090945ac9a3ffe6ba36ee54b", "fdd4f541fc22424aa1de096e27593232", "2dbb5380b5514517a1d0efb6b094274d", "85f7bc2dc6ed486aa4fa3e5478220acd", "439f3aeb88d6476696e423cc83fabccc", "76ce4a872a704df28f8827bfdfa07da6", "fb2c34a5f44947f2b9c3dbea98ab8b13", "751190cdb3b24125839c3ddd0f71703c", "bd9bc50f5ed84985976cf74d2ebdf860", "bcc2b8a354a445c9aface54b16cd625f", "7374f5c9ae9b469a8700182bd3f279db", "e169e58d1d93436baa47a2d0a780f2ed", "1bccdcda86294874bc6aa67ae20ecbd4", "88123b0c4efb413c8e02a39aa2c7519b", "dd1942f9ce724dcc890545b8ec8cc344", "6c7c00c5f79e44f79e91c03ca8277f3b", "3716a1b845d44b39a11c31abd9d91ee3", "177a1bc132f04b65805a85d058f6bc3e", "e738540be8364cc9a84555ca440c2e3a", "82eaeb725d754df381b74bc6d41bbf94", "8b6a847834414c9993f930f1ebc10ccc", "f7b5fba700ad45aead5f725c358d394c", "de53fdd4ef0a41aca6a9744f65d0ef33", "90e613e7038f49ea83238fbed6e9bc37", "16b0b34893924c0ba8ea88119333e5f6", "9016ab6ab1974608a1d2bb8b5ebfb55a", "37b3d175a2264c7aa8779a73507e1a54", "e4a37762799945848ce023ebbdc0eb11", "793b35b06256465c8984d6092d150557", "49c4446b3d984526b4c29fde22573fc7", "6a26c6a3305d46c5ad0dcddebb19f0f5", "7e541b6c469843fa8262b3f49f1a2227", "0624848e56c24a68b0b92d3ad9eba8a8", "b539ec627ada490aa777f33aa069029d", "077541a390d541fcafc691b71992bb02", "65b6f8b753814edcbd920d6fe5826f1a", "fb35dbd42f594da0a6f14ef79ee7690c", "a6aef21e891e4d7c91d23acabf70e7aa", "38292b9637e24ace94bc367ecfc6805a", "6ddd40844979465f80fd36cd90597f55", "e69c7d6394c9491a9a0e5cae9b497612", "c29541bae16a4b6bb73d4c9c31670489", "47b6adfb579b44749115367d565a1b6c" ] }, "id": "gW_OGcnHjqgR", "outputId": "95c105ed-55fd-4821-c94f-a14311a9b9e3" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a858edc077194c5998664b7d66807b9e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "config.json: 0%| | 0.00/1.03k [00:00\")[1]\n", "\n", " for message in messages:\n", " message[\"speaker\"] = message.pop(\"role\")\n", " message[\"text\"] = message.pop(\"content\")\n", "\n", " instances.append(\n", " {\n", " \"task_id\": task_id,\n", " \"task_type\": \"conversation\",\n", " \"contexts\": [{\"document_id\": f\"doc::{task_id}\", \"text\": \"\"}],\n", " \"input\": [messages[0]],\n", " \"targets\": [{\"text\": messages[1][\"text\"]}],\n", " \"predictions\": model_predictions,\n", " }\n", " )" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "p5SXlI2I1Mab", "outputId": "124fddc8-5570-4f43-f088-c7b581febde2" }, "outputs": [ { "data": { "text/plain": [ "{'task_id': '2bb3ce67227fd80e1ac019d18b44a32c5055eca1265b4d26f1a8dff15a8a104c',\n", " 'task_type': 'conversation',\n", " 'contexts': [{'document_id': 'doc::2bb3ce67227fd80e1ac019d18b44a32c5055eca1265b4d26f1a8dff15a8a104c',\n", " 'text': ''}],\n", " 'input': [{'speaker': 'user',\n", " 'text': 'Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic.\\nQ: আপু অনেক নিতে পারে। উফ কিভাবে এত ছেলের সাথে পারে? \\nA:'}],\n", " 'targets': [{'text': 'Personal'}],\n", " 'predictions': {'mistralai/Mistral-7B-v0.1': {'text': '\\nQ: আপু অনেক নিতে পারে। উফ কিভাবে এত ছেলের সাথে পারে? \\nA: ওন্প কি একটা বিশ্বরূপ মানুষ? এত বড় থেকে এক আছে এক ছেলে থেকে একটা বড় মানুষ পারে? \\n<|user|>\\nDetailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic.\\nQ: আপু অনেক নিত'},\n", " 'alignment-handbook/zephyr-7b-sft-lora': {'text': \"\\nQ: How many can you catch up with? How do you catch up with so many boys?\\nA: The given text is a hateful post in Bengali that expresses hate towards a particular group of people. The post is classified as non-personal, which means the hate is not directed towards a specific individual or group. The post is not personal, and it doesn't encourage violence or promote any kind of hateful behavior.\"}}}" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "instances[-1]" ] }, { "cell_type": "markdown", "metadata": { "id": "LmR7CtAq6WJW" }, "source": [ "# Add evaluations\n" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 113, "referenced_widgets": [ "300f3e13ff5240a4bb1a445a568627df", "8935d1478c9949d499d3107274f83825", "82832868da0d4dbf8d850c1b567f43a7", "1e013a49acd3467881d32524c241d5a2", "d20fd4789a6d434a9de3ae637dfba7f8", "d2a80df246f047fdbd5bfc5383fb1d99", "a18b183b1c9a49bcb90da99b6d668dcf", "1813cd492e2240009ef2cb691ccc284e", "2c0df81699ed4b9da93e21445ad695bc", "285a0d39c4324133acc902e6d5b5d53c", "9fd56bc1e0594b9e9ff09c585436412b", "2768018016af4e2b99c501dc96328382", "be4b858fb001444da484743b63293d52", "1278419b22db466fb4f84813d7cdac67", "f20598940c354340961a9fa7fe608652", "bf509db2b0664d63a5ddd4d4a09674a5", "d3983e59ebc14d9ab8b8212c3c279ab1", "7a11290a56bb41d38070fda2f7077526", "8c4d1662a2f749bdb27e62303f2e0e74", "98af80326595479fac8b41fb3f9ae408", "e2ac7339601342d5aeca6c02dc3b9134", "f31ab7d5c7f944da8121a300ca1b161d", "7cfb59e57b834fba8df717ce67da13fc", "9890ad6bf64441b3a4d0e5389dcc8229", "2a2ebf8455f04de29aaa4fb5c3ed48be", "a96cd3364d1247fd81f7d3a342d4e80f", "4d5ed812dd244c03a685f368bfb0e964", "381f1e98ef3a44be87287e287d467989", "f053e4a5532648a9bd09c08876f355ec", "eaced7b867c74ea5a4c7adb0ec5382a9", "b79c4b904b8d42ebbd909170798e465b", "243cf109d1bd42a3b28c6cee8b072ddc", "ebea6e49ed8845c2a8f8f19373858974" ] }, "id": "YNmf27-O1jOU", "outputId": "dbbb6882-797d-48a8-eab7-e43e70b1594d" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "300f3e13ff5240a4bb1a445a568627df", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading builder script: 0%| | 0.00/7.95k [00:00 float:\n", " return rouge_evaluator.compute(\n", " predictions=[prediction],\n", " references=[target],\n", " rouge_types=[\"rougeL\"],\n", " use_aggregator=False,\n", " use_stemmer=use_stemmer,\n", " )[\"rougeL\"][0]\n", "\n", "\n", "def sentence_bleu(prediction, target, *args, **kwargs) -> float:\n", " sbleu_evaluator.add_batch(predictions=[prediction], references=[target])\n", " score = sbleu_evaluator.compute()\n", "\n", " return score[\"score\"]" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 213, "referenced_widgets": [ "3b2de092dab74fe4a3424255dc2217e1", "6f16a519d459483bb2b7dcad808d6397", "a321c9e7031d493fab68160678c1dc09", "2b40db80a6094531ac30d2a48d6f3dc4", "1e22ef297baa43af95ca85b2480f38a1", "eefb29b1f189401383364263918acbbb", "0fe89b19bf3b43feb7ec467992c2b47e", "d2bc82f7fbdc49ef8169d2df2bb2725b", "38db249339af45b6bdcc451f0cfa8753", "f98eccaec7bd4da6aa15b168984f387a", "19eac035adfb4f9fb17e7007fc9c757c", "6f409852a81f45cdb08fa994a43be2e2", "0325e7cc245a43dd98aa31bfc826f368", "df3345f7eef647c68b0f8e66ba41db8f", "15410a9192ac4f3389961d2401955be1", "9b896ee7377d45f9b0d7dcd25e2ab32c", "3a4abf45ac994bb585022048ad3ce607", "fad89eee310f44b69b86a8c27eb74182", "5fcceda62e314a89a6728806239115c0", "a53e343b45164cec8bb313b3a44635b6", "c6729530ed8b4ad2b1f3c944d27136ff", "818d2ee90d63404bb47d2f61516d4140", "e36d0f683aa74922b6987620c7f02860", "63ba19b6dd4842518d579782819083ac", "74550d7fcf804161a5148ee2dbff1aca", "86635a5835744c5693d0fb5634bf08e9", "0d5a4b3ab978457daefec95ced9d3b9f", "849580a12122473c89d7a6ecfa12d2f3", "7a29b2dc11e4499fae24b21073b68aed", "cb7cbd017e694616966a6d8abd032c0a", "7d496c4eaf0e41efb576b390ffd5276d", "428b9a6f8190438ab75b1d1ab8511edb", "b9263650add6444ab223a83f63bfd939", "aed09b14b7c249299187ca0e726c80c7", "f4fe7f35f8af475e82a01be723203377", "8ae7859b3bc749b980fc93f72778b876", "d57e02a0b68c40f99a363cf1b23dab94", "b6ed9801c41e4cb099c21a92aa63e5c5", "b699c37275ac4395bad54241f1bcaa65", "c9b69cbf1b7d44d094470a767ca79439", "77e483e73f9d42598f7ebdee3ff6357d", "f103c06d85e24d1d97fe6982d2c4bff0", "91117fe39c42456c970287721db9a52a", "509ae50806e642dc9d42ad58a5e1bff8", "c96f0e618b99447cb152bd7b3a94af4d", "743d98a9f40e43adbd183cde0cb41ff2", "ca8f56ef14a648b9a66399cd628dcacb", "cc341fd8972f4715b713c7ff9f895c4c", "d81317fa6c204f6ba31cd8f137aa675c", "a0c2371103d64ed6b851a279924f36c0", "aebfdad58e344d34b62aa65fcf8b28be", "f127d63cf15d41f7857c28969e416d05", "00a699ecd4044d10a89fbfe2da48a22c", "4ca5362629884024b93af123890af4cb", "9f5bdec83cbf4760b38a753936c18edf" ] }, "id": "8XfNncAl6ZkV", "outputId": "fd0d17fd-0cd8-4e6c-b261-340aab3334a0" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\r 0%| | 0/5 [00:00\\nDetailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic.\\nQ: আপু অনেক নিত'},\n", " 'alignment-handbook/zephyr-7b-sft-lora': {'text': \"\\nQ: How many can you catch up with? How do you catch up with so many boys?\\nA: The given text is a hateful post in Bengali that expresses hate towards a particular group of people. The post is classified as non-personal, which means the hate is not directed towards a specific individual or group. The post is not personal, and it doesn't encourage violence or promote any kind of hateful behavior.\"}},\n", " 'metrics': {'mistralai/Mistral-7B-v0.1': {'bertscore': [-0.5831043720245361],\n", " 'bert_prec': [-0.7460839748382568],\n", " 'bert_recall': [-0.13855981826782227]},\n", " 'alignment-handbook/zephyr-7b-sft-lora': {'bertscore': [-0.39202743768692017],\n", " 'bert_prec': [-0.5052881240844727],\n", " 'bert_recall': [-0.23906652629375458]}}}" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "instances[-1]" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "BbKxwNTyUEvv", "outputId": "38e22188-fe32-4b78-f1f9-a1d7382d9a86" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'mistralai/Mistral-7B-v0.1': {'bertscore': [0.16998602449893951], 'bert_prec': [0.20606179535388947], 'bert_recall': [0.12955491244792938]}, 'alignment-handbook/zephyr-7b-sft-lora': {'bertscore': [0.41976773738861084], 'bert_prec': [0.4324481785297394], 'bert_recall': [0.402696818113327]}}\n", "{'mistralai/Mistral-7B-v0.1': {'bertscore': [0.10501795262098312], 'bert_prec': [0.14480413496494293], 'bert_recall': [0.06097918748855591]}, 'alignment-handbook/zephyr-7b-sft-lora': {'bertscore': [0.13374951481819153], 'bert_prec': [0.203559011220932], 'bert_recall': [0.06489049643278122]}}\n", "{'mistralai/Mistral-7B-v0.1': {'bertscore': [0.009214136749505997], 'bert_prec': [0.049786537885665894], 'bert_recall': [-0.035969167947769165]}, 'alignment-handbook/zephyr-7b-sft-lora': {'bertscore': [0.21167650818824768], 'bert_prec': [0.30028247833251953], 'bert_recall': [0.12818996608257294]}}\n", "{'mistralai/Mistral-7B-v0.1': {'bertscore': [-0.22668106853961945], 'bert_prec': [-0.2539762556552887], 'bert_recall': [-0.20800040662288666]}, 'alignment-handbook/zephyr-7b-sft-lora': {'bertscore': [-0.319526344537735], 'bert_prec': [-0.31012335419654846], 'bert_recall': [-0.33903127908706665]}}\n", "{'mistralai/Mistral-7B-v0.1': {'bertscore': [-0.5831043720245361], 'bert_prec': [-0.7460839748382568], 'bert_recall': [-0.13855981826782227]}, 'alignment-handbook/zephyr-7b-sft-lora': {'bertscore': [-0.39202743768692017], 'bert_prec': [-0.5052881240844727], 'bert_recall': [-0.23906652629375458]}}\n" ] } ], "source": [ "for instance in instances:\n", " print(instance[\"metrics\"])" ] }, { "cell_type": "markdown", "metadata": { "id": "ivXfua4qLggD" }, "source": [ "# Convert to Analytics Platform JSON\n" ] }, { "cell_type": "markdown", "metadata": { "id": "qjyOXzRvMBQs" }, "source": [ "### Let's start with defining the `name`, `models`, and `metrics` we used in this demo\n" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "id": "LNGj4ncsLqVq" }, "outputs": [], "source": [ "name = \"HuggingFace Demo\"\n", "\n", "# models -> List[dict]\n", "models = [\n", " {\"model_id\": model_id_1, \"name\": \"Zephyr 7B\", \"owner\": \"HuggingFace\"},\n", " {\"model_id\": model_id_2, \"name\": \"Mistral-7B-v0.1\", \"owner\": \"Mistral AI\"},\n", "]\n", "\n", "# metrics -> List[dict]\n", "all_metrics = [\n", " {\n", " \"name\": \"bertscore\",\n", " \"display_name\": \"BERTScore F1\",\n", " \"description\": \"The F1 score for each prediction + target, which ranges from 0.0 to 1.0. Ref: https://huggingface.co/spaces/evaluate-metric/bertscore\",\n", " \"author\": \"algorithm\",\n", " \"type\": \"numerical\",\n", " \"aggregator\": \"average\",\n", " \"range\": [0, 1.0, 0.1],\n", " },\n", " {\n", " \"name\": \"bert_prec\",\n", " \"display_name\": \"BERTScore Precision\",\n", " \"description\": \"The precision for each prediction + target, which ranges from 0.0 to 1.0. Ref: https://huggingface.co/spaces/evaluate-metric/bertscore\",\n", " \"author\": \"algorithm\",\n", " \"type\": \"numerical\",\n", " \"aggregator\": \"average\",\n", " \"range\": [0, 1.0, 0.1],\n", " },\n", " {\n", " \"name\": \"bert_recall\",\n", " \"display_name\": \"BERTScore Recall\",\n", " \"description\": \"The recall for each prediction + target, which ranges from 0.0 to 1.0. Ref: https://huggingface.co/spaces/evaluate-metric/bertscore\",\n", " \"author\": \"algorithm\",\n", " \"type\": \"numerical\",\n", " \"aggregator\": \"average\",\n", " \"range\": [0, 1.0, 0.1],\n", " },\n", "]" ] }, { "cell_type": "markdown", "metadata": { "id": "HntEhvugQt2Y" }, "source": [ "## Now let's define `tasks`, `documents`, and `evaluations`\n" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "id": "WrZaE6Rwd6dA" }, "outputs": [], "source": [ "import copy\n", "\n", "instances_copy = copy.deepcopy(instances)" ] }, { "cell_type": "markdown", "metadata": { "id": "pujmSUuXcUfK" }, "source": [ "Note\n" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "id": "9yRse3PQQsxb" }, "outputs": [], "source": [ "all_tasks = []\n", "all_documents = []\n", "all_evaluations = []\n", "for instance in instances:\n", " documents = instance.pop(\"contexts\")\n", " all_documents.extend(documents)\n", " doc_ids = [{\"document_id\": doc[\"document_id\"]} for doc in documents]\n", " instance[\"contexts\"] = doc_ids\n", " metrics = instance.pop(\"metrics\")\n", " predictions = instance.pop(\"predictions\")\n", " for model, prediction in predictions.items():\n", " all_evaluations.append(\n", " {\n", " \"task_id\": instance[\"task_id\"],\n", " \"model_id\": model,\n", " \"model_response\": prediction[\"text\"],\n", " \"annotations\": {\n", " metric: {\"system\": {\"value\": value[0], \"duration\": 0}}\n", " for metric, value in metrics[model].items()\n", " },\n", " }\n", " )\n", " all_tasks.append(instance)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "NM_VZxEU5UiX", "outputId": "cfd64085-19ac-4c78-92fc-2f305697131f" }, "outputs": [ { "data": { "text/plain": [ "10" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(all_evaluations)" ] }, { "cell_type": "markdown", "metadata": { "id": "bekGOYtEcABN" }, "source": [ "## Now we can write the output to file and import it into our dashboard for analysis :D\n" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "id": "3tjuCibsYzG7" }, "outputs": [], "source": [ "import json\n", "\n", "output = {\n", " \"name\": name,\n", " \"models\": models,\n", " \"metrics\": all_metrics,\n", " \"documents\": all_documents,\n", " \"tasks\": all_tasks,\n", " \"evaluations\": all_evaluations,\n", "}\n", "\n", "with open(\n", " file=\"huggingface-inspectorraget-demo.json\", mode=\"w\", encoding=\"utf-8\"\n", ") as fp:\n", " json.dump(output, fp, indent=4)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "iIcWaE51cuAh" }, "outputs": [], "source": [] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "T4", "machine_shape": "hm", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": 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