Initial notebook commit

.gitignore

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+temp/

README.md

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 ---
 license: mit
+language:
+- en
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text2text-generation
+- text-generation
+tags:
+- docugami
+- dfm-csl
+pretty_name: DoContextual Semantic Lables (Small)
 ---
+
+# Contextual Semantic Labels (Small) Benchmark Dataset
+
+Please see [https://github.com/docugami/DFM-benchmarks](https://github.com/docugami/DFM-benchmarks) for more details, eval code, and current scores for different models.
+
+# Using Dataset
+
+Please refer to standard huggingface documentation to use this dataset: [https://huggingface.co/docs/datasets/index](https://huggingface.co/docs/datasets/index)
+
+The [explore.ipynb](./explore.ipynb) notebook has some reference code.

explore.ipynb

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+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Explore Dataset: docugami/dfm-csl-small-benchmark\n",
+    "\n",
+    "See [README](./README.md) for more information"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "DATASET_NAME=\"Docugami/dfm-csl-small-benchmark\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# install dependencies and get a token\n",
+    "!pip install datasets huggingface_hub ipywidgets\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(\"docugami/dfm-csl-small-benchmark\", 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 CSV from github\n",
+    "!wget -P ./temp https://raw.githubusercontent.com/docugami/DFM-benchmarks/main/data/annotations/CSL-Small.csv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datasets import Dataset\n",
+    "\n",
+    "# Load the data from the csv\n",
+    "dataset = Dataset.from_csv('./temp/CSL-Small.csv')\n",
+    "\n",
+    "# Push the dataset to the Hugging Face Hub\n",
+    "dataset.push_to_hub(DATASET_NAME, split=\"eval\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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
+}