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},
"cells": [
{
"cell_type": "markdown",
"source": [
"Summarization"
],
"metadata": {
"id": "C9B8ffxq6_rM"
}
},
{
"cell_type": "code",
"source": [
"!pip uninstall -y datasets huggingface_hub transformers fsspec\n",
"!pip install datasets==4.1.1 huggingface_hub==0.34.4 transformers==4.55.4\n",
"!pip install accelerate"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "fI8RH8jm7Anp",
"outputId": "6bcab78c-e8a9-47f7-9109-95b5d30b2b85",
"collapsed": true
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Found existing installation: datasets 4.0.0\n",
"Uninstalling datasets-4.0.0:\n",
" Successfully uninstalled datasets-4.0.0\n",
"Found existing installation: huggingface_hub 1.27.0\n",
"Uninstalling huggingface_hub-1.27.0:\n",
" Successfully uninstalled huggingface_hub-1.27.0\n",
"Found existing installation: transformers 5.15.0\n",
"Uninstalling transformers-5.15.0:\n",
" Successfully uninstalled transformers-5.15.0\n",
"Found existing installation: fsspec 2025.3.0\n",
"Uninstalling fsspec-2025.3.0:\n",
" Successfully uninstalled fsspec-2025.3.0\n",
"Collecting datasets==4.1.1\n",
" Downloading datasets-4.1.1-py3-none-any.whl.metadata (18 kB)\n",
"Collecting huggingface_hub==0.34.4\n",
" Downloading huggingface_hub-0.34.4-py3-none-any.whl.metadata (14 kB)\n",
"Collecting transformers==4.55.4\n",
" Downloading transformers-4.55.4-py3-none-any.whl.metadata (41 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.0/42.0 kB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (3.32.3)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (2.0.2)\n",
"Collecting pyarrow>=21.0.0 (from datasets==4.1.1)\n",
" Downloading pyarrow-25.0.1-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (3.0 kB)\n",
"Requirement already satisfied: dill<0.4.1,>=0.3.0 in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (0.3.8)\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (2.2.3)\n",
"Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (2.32.4)\n",
"Requirement already satisfied: tqdm>=4.66.3 in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (4.67.3)\n",
"Requirement already satisfied: xxhash in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (4.0.0)\n",
"Requirement already satisfied: multiprocess<0.70.17 in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (0.70.16)\n",
"Collecting fsspec<=2025.9.0,>=2023.1.0 (from fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.1.1)\n",
" Downloading fsspec-2025.9.0-py3-none-any.whl.metadata (10 kB)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (26.3)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from datasets==4.1.1) (6.0.3)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.34.4) (4.16.0)\n",
"Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.34.4) (1.6.0)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.12/dist-packages (from transformers==4.55.4) (2025.11.3)\n",
"Collecting tokenizers<0.22,>=0.21 (from transformers==4.55.4)\n",
" Downloading tokenizers-0.21.4-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)\n",
"Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.12/dist-packages (from transformers==4.55.4) (0.8.0)\n",
"Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.1.1) (3.14.3)\n",
"Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets==4.1.1) (3.4.9)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets==4.1.1) (3.18)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets==4.1.1) (2.5.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets==4.1.1) (2026.7.22)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets==4.1.1) (2.9.0.post0)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets==4.1.1) (2025.2)\n",
"Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets==4.1.1) (2026.3)\n",
"Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.1.1) (2.7.1)\n",
"Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.1.1) (1.4.0)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.1.1) (26.1.0)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.1.1) (1.8.0)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.1.1) (6.7.1)\n",
"Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.1.1) (0.5.2)\n",
"Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.1.1) (1.24.5)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->datasets==4.1.1) (1.17.0)\n",
"Downloading datasets-4.1.1-py3-none-any.whl (503 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m503.6/503.6 kB\u001b[0m \u001b[31m37.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading huggingface_hub-0.34.4-py3-none-any.whl (561 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m561.5/561.5 kB\u001b[0m \u001b[31m49.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading transformers-4.55.4-py3-none-any.whl (11.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m127.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading fsspec-2025.9.0-py3-none-any.whl (199 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m199.3/199.3 kB\u001b[0m \u001b[31m24.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading pyarrow-25.0.1-cp312-cp312-manylinux_2_28_x86_64.whl (50.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.1/50.1 MB\u001b[0m \u001b[31m20.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading tokenizers-0.21.4-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/3.1 MB\u001b[0m \u001b[31m128.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hInstalling collected packages: pyarrow, fsspec, huggingface_hub, tokenizers, transformers, datasets\n",
" Attempting uninstall: pyarrow\n",
" Found existing installation: pyarrow 18.1.0\n",
" Uninstalling pyarrow-18.1.0:\n",
" Successfully uninstalled pyarrow-18.1.0\n",
" Attempting uninstall: tokenizers\n",
" Found existing installation: tokenizers 0.22.2\n",
" Uninstalling tokenizers-0.22.2:\n",
" Successfully uninstalled tokenizers-0.22.2\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"gradio 6.24.0 requires huggingface-hub<2.0,>=1.16.0, but you have huggingface-hub 0.34.4 which is incompatible.\n",
"gcsfs 2025.3.0 requires fsspec==2025.3.0, but you have fsspec 2025.9.0 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed datasets-4.1.1 fsspec-2025.9.0 huggingface_hub-0.34.4 pyarrow-25.0.1 tokenizers-0.21.4 transformers-4.55.4\n",
"Requirement already satisfied: accelerate in /usr/local/lib/python3.12/dist-packages (1.14.0)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from accelerate) (2.0.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from accelerate) (26.3)\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.12/dist-packages (from accelerate) (5.9.5)\n",
"Requirement already satisfied: pyyaml in /usr/local/lib/python3.12/dist-packages (from accelerate) (6.0.3)\n",
"Requirement already satisfied: torch>=2.0.0 in /usr/local/lib/python3.12/dist-packages (from accelerate) (2.11.0+cpu)\n",
"Requirement already satisfied: huggingface_hub>=0.21.0 in /usr/local/lib/python3.12/dist-packages (from accelerate) (0.34.4)\n",
"Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.12/dist-packages (from accelerate) (0.8.0)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from huggingface_hub>=0.21.0->accelerate) (3.32.3)\n",
"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub>=0.21.0->accelerate) (2025.9.0)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from huggingface_hub>=0.21.0->accelerate) (2.32.4)\n",
"Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub>=0.21.0->accelerate) (4.67.3)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub>=0.21.0->accelerate) (4.16.0)\n",
"Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub>=0.21.0->accelerate) (1.6.0)\n",
"Requirement already satisfied: setuptools<82 in /usr/local/lib/python3.12/dist-packages (from torch>=2.0.0->accelerate) (75.2.0)\n",
"Requirement already satisfied: sympy>=1.13.3 in /usr/local/lib/python3.12/dist-packages (from torch>=2.0.0->accelerate) (1.14.0)\n",
"Requirement already satisfied: networkx>=2.5.1 in /usr/local/lib/python3.12/dist-packages (from torch>=2.0.0->accelerate) (3.6.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch>=2.0.0->accelerate) (3.1.6)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy>=1.13.3->torch>=2.0.0->accelerate) (1.3.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch>=2.0.0->accelerate) (3.0.3)\n",
"Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub>=0.21.0->accelerate) (3.4.9)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub>=0.21.0->accelerate) (3.18)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub>=0.21.0->accelerate) (2.5.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub>=0.21.0->accelerate) (2026.7.22)\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!git config --global user.email \"ilyana.dulina07@gmail.com\"\n",
"!git config --global user.name \"Iliana Dulina\""
],
"metadata": {
"id": "F261AxPF7CtM"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"from huggingface_hub import notebook_login\n",
"\n",
"notebook_login()"
],
"metadata": {
"id": "ts8S6oJz7Ij5",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 331,
"referenced_widgets": [
"285a04db3a90495eb8fed44b7b144145",
"cc4a5ef7e92d401ebcd586143a74f137",
"4b3d1cb9e91e40b0b7cd74edd6de7b29",
"e7fe0d6cea39459abfaf80ad74b9e111",
"05a2c9f94e644cd9aa8542cf8b7a6228",
"0e5855c6cd534aa594be1f83d254f3dd",
"14545530e5384e90aeb360a4bb8accda",
"b61554767b0c4e9291dc7a00b51c5096",
"162fea88328f413da1d298218e54dfb9",
"60160d7760dd49ea8538144c8123ef70",
"0fd3544a98624826bd7f3c3e65131e8d",
"636d6e16d39649939b986c75ed3cf8c7",
"d396d400548346c9a6233eac02cd518a",
"4012aafef71c4879ab1e4936e36ff91d",
"91fa7e42369e4879b59e31228b923fb9",
"aa7d0465adb447ac87d74d2e1e874dc8",
"b8d3ec968eb5445b9b001f9abd256086"
]
},
"outputId": "bd8987b9-874f-4616-fade-000cc2ad9df5"
},
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"VBox(children=(HTML(value=' . This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565\n",
"/usr/local/lib/python3.12/dist-packages/transformers/convert_slow_tokenizer.py:564: UserWarning: The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option which is not implemented in the fast tokenizers. In practice this means that the fast version of the tokenizer can produce unknown tokens whereas the sentencepiece version would have converted these unknown tokens into a sequence of byte tokens matching the original piece of text.\n",
" warnings.warn(\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"inputs = tokenizer('Ile woke up today and studied a lot.')\n",
"inputs"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "qqDMrYmCHI_d",
"outputId": "776a8533-bd53-4b0b-8cb9-a83d4c3bafe2"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"{'input_ids': [67197, 75562, 265, 1150, 7883, 305, 26984, 285, 259, 262, 4761, 260, 1], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}"
]
},
"metadata": {},
"execution_count": 12
}
]
},
{
"cell_type": "code",
"source": [
"tokenizer.convert_ids_to_tokens(inputs.input_ids)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "aNeN05amHQzh",
"outputId": "1a3c56e3-6a29-4235-962e-bd171a9ae137"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['▁Ile',\n",
" '▁wok',\n",
" 'e',\n",
" '▁up',\n",
" '▁today',\n",
" '▁and',\n",
" '▁studie',\n",
" 'd',\n",
" '▁',\n",
" 'a',\n",
" '▁lot',\n",
" '.',\n",
" '']"
]
},
"metadata": {},
"execution_count": 13
}
]
},
{
"cell_type": "markdown",
"source": [
"How mt5 processes inputs and targets"
],
"metadata": {
"id": "FjeBgCXYqzJw"
}
},
{
"cell_type": "code",
"source": [
"max_input_length = 512\n",
"max_target_length = 30\n",
"\n",
"\n",
"def preprocess_function(examples):\n",
" model_inputs = tokenizer(\n",
" examples[\"text\"],\n",
" max_length=max_input_length,\n",
" truncation=True,\n",
" )\n",
" labels = tokenizer(\n",
" examples[\"title\"], max_length=max_target_length, truncation=True\n",
" )\n",
" model_inputs[\"labels\"] = labels[\"input_ids\"]\n",
" return model_inputs"
],
"metadata": {
"id": "rNE5hE46q1ED"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Rouge evaluation"
],
"metadata": {
"id": "adEVqRICLyID"
}
},
{
"cell_type": "code",
"source": [
"!pip install rouge_score"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YRU3GWXYK5-M",
"outputId": "a7912a3e-63ed-42aa-a4e4-c4c1c4480d01"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: rouge_score in /usr/local/lib/python3.12/dist-packages (0.1.2)\n",
"Requirement already satisfied: absl-py in /usr/local/lib/python3.12/dist-packages (from rouge_score) (1.4.0)\n",
"Requirement already satisfied: nltk in /usr/local/lib/python3.12/dist-packages (from rouge_score) (3.9.1)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from rouge_score) (2.0.2)\n",
"Requirement already satisfied: six>=1.14.0 in /usr/local/lib/python3.12/dist-packages (from rouge_score) (1.17.0)\n",
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"Requirement already satisfied: tqdm in /usr/local/lib/python3.12/dist-packages (from nltk->rouge_score) (4.67.3)\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!pip install evaluate"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "rPqHMknaLYRS",
"outputId": "1c83c328-acd6-4834-bf21-82e22a36c6b4"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting evaluate\n",
" Downloading evaluate-0.4.6-py3-none-any.whl.metadata (9.5 kB)\n",
"Requirement already satisfied: datasets>=2.0.0 in /usr/local/lib/python3.12/dist-packages (from evaluate) (4.1.1)\n",
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"Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.12/dist-packages (from evaluate) (4.67.3)\n",
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"Requirement already satisfied: fsspec>=2021.05.0 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]>=2021.05.0->evaluate) (2025.9.0)\n",
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"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.7.0->evaluate) (4.16.0)\n",
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"Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2021.05.0->evaluate) (1.4.0)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2021.05.0->evaluate) (26.1.0)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2021.05.0->evaluate) (1.8.0)\n",
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"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->evaluate) (1.17.0)\n",
"Downloading evaluate-0.4.6-py3-none-any.whl (84 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.1/84.1 kB\u001b[0m \u001b[31m700.9 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hInstalling collected packages: evaluate\n",
"Successfully installed evaluate-0.4.6\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import evaluate\n",
"\n",
"rouge_score = evaluate.load(\"rouge\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 67,
"referenced_widgets": [
"e35ec3311bd145b1b24b67763e9fa7cc",
"b8995d30f5fd4b959517e9e4a4bdfc76",
"dd2f3ab8b8c74eaa9ad96c2441e9266e",
"75448768924d44649af8bd3f2f064907",
"54fe5a56897243ff89ab865fee420f84",
"3c312cf2fda4482eb52dab34df62082f",
"a73f2fefc7f2400c95e1ea625e214cff",
"5200004f10b04c7bbbb4e6f00d8217aa",
"92b611c8208946cba16a7a4c7dab5721",
"e3b73872bdee4ad199a1de9e0b59daee",
"0edf98fbbd834386a1868bc1845c9fca"
]
},
"id": "XI8t6ICFK9Q1",
"outputId": "1df8bd1c-2b2d-4a01-c217-219d4027063a"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"WARNING:torchao.kernel.intmm:Warning: Detected no triton, on systems without Triton certain kernels will not work\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading builder script: 0.00B [00:00, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "e35ec3311bd145b1b24b67763e9fa7cc"
}
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"generated_summary = 'I absolutely loved reading the Hunger Games'\n",
"reference_summary = 'I loved reading the Hunger Games'"
],
"metadata": {
"id": "povhfIp_Nsl5"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"scores = rouge_score.compute(\n",
" predictions=[generated_summary], references=[reference_summary]\n",
")\n",
"scores"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "9X8YHYjqNlSe",
"outputId": "ad700263-06f9-46b1-aa2f-9c14d4676ff4"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"{'rouge1': np.float64(0.923076923076923),\n",
" 'rouge2': np.float64(0.7272727272727272),\n",
" 'rougeL': np.float64(0.923076923076923),\n",
" 'rougeLsum': np.float64(0.923076923076923)}"
]
},
"metadata": {},
"execution_count": 21
}
]
}
]
}