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"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Explore Dataset: docugami/dfm-csl-large-benchmark\n",
"\n",
"See [README](./README.md) for more information"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"DATASET_NAME=\"Docugami/dfm-csl-large-benchmark\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# install dependencies and get a token\n",
"!pip install datasets huggingface_hub ipywidgets --quiet\n",
"\n",
"from huggingface_hub import notebook_login\n",
"notebook_login()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Explore Dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from datasets import load_dataset\n",
"\n",
"# Download and check out metadata for dataset\n",
"dataset = load_dataset(DATASET_NAME, split=\"eval\")\n",
"dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# let's look at one of the rows\n",
"dataset[-1]"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Update Dataset from Github\n",
"Note: this requires write access to the dataset."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# download latest CSVs from github\n",
"!rm -rf ./temp\n",
"!wget -P ./temp/eval https://raw.githubusercontent.com/docugami/DFM-benchmarks/main/data/annotations/eval/CSL-Large.csv\n",
"!wget -P ./temp/train https://raw.githubusercontent.com/docugami/DFM-benchmarks/main/data/annotations/train/CSL-Large.csv"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from datasets import Dataset\n",
"\n",
"# Load the data from the csv files\n",
"eval_set = Dataset.from_csv('./temp/eval/CSL-Large.csv')\n",
"train_set = Dataset.from_csv('./temp/train/CSL-Large.csv')\n",
"\n",
"# Push the dataset to the Hugging Face Hub\n",
"eval_set.push_to_hub(DATASET_NAME, split=\"eval\")\n",
"train_set.push_to_hub(DATASET_NAME, split=\"train\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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