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README update

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  1. README.md +17 -1
  2. explore.ipynb +60 -220
README.md CHANGED
@@ -1,5 +1,15 @@
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  ---
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  license: mit
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
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  features:
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  - name: Text
@@ -18,5 +28,11 @@ dataset_info:
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  # Contextual Semantic Labels (Large) Benchmark Dataset
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- Please see https://github.com/docugami/DFM-benchmarks for more details, eval code, and current scores for different models.
 
 
 
 
 
 
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  ---
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  license: mit
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+ language:
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+ - en
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 1K<n<10K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - text2text-generation
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  dataset_info:
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  features:
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  - name: Text
 
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  # Contextual Semantic Labels (Large) Benchmark Dataset
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+ 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.
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+
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+ # Using Dataset
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+
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+ Please refer to standard huggingface documentation to use this dataset: [https://huggingface.co/docs/datasets/index](https://huggingface.co/docs/datasets/index)
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+
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+ The [explore.ipynb](./explore.ipynb) notebook has some reference code.
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explore.ipynb CHANGED
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 8,
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  "metadata": {},
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  "outputs": [],
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  "source": [
@@ -21,95 +21,9 @@
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  },
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  {
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  "cell_type": "code",
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  "metadata": {},
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- "outputs": [
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Requirement already satisfied: datasets in /usr/local/lib/python3.9/dist-packages (2.12.0)\n",
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- "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.9/dist-packages (from pandas->datasets) (2023.3)\n",
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- "Requirement already satisfied: ptyprocess>=0.5 in /root/.local/lib/python3.9/site-packages (from pexpect>4.3->ipython>=6.1.0->ipywidgets) (0.7.0)\n",
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- "Requirement already satisfied: wcwidth in /root/.local/lib/python3.9/site-packages (from prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30->ipython>=6.1.0->ipywidgets) (0.2.6)\n",
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- "Requirement already satisfied: six>=1.5 in /root/.local/lib/python3.9/site-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.16.0)\n",
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- "Requirement already satisfied: asttokens>=2.1.0 in /root/.local/lib/python3.9/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (2.2.1)\n",
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- "Requirement already satisfied: zipp>=0.5 in /root/.local/lib/python3.9/site-packages (from importlib-metadata>=4.8.3->jupyter-client>=6.1.12->ipykernel>=4.5.1->ipywidgets) (3.15.0)\n",
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- "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
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- "\u001b[0m"
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- ]
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- },
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- {
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- "data": {
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- "application/vnd.jupyter.widget-view+json": {
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- "model_id": "c5591c50842d4a6f99800ce774776236",
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- "version_major": 2,
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- "version_minor": 0
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- },
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- "text/plain": [
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- "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- }
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- ],
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  "source": [
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  "# install dependencies and get a token\n",
115
  "!pip install datasets huggingface_hub ipywidgets\n",
@@ -119,160 +33,93 @@
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  ]
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  },
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  {
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- "attachments": {},
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  "cell_type": "markdown",
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  "metadata": {},
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  "source": [
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- "# Update Dataset from Github\n",
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- "Note: this requires write access to the dataset."
128
  ]
129
  },
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  {
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  "cell_type": "code",
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- "execution_count": 9,
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  "metadata": {},
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  "outputs": [
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  {
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- "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "--2023-05-29 19:03:22-- https://raw.githubusercontent.com/docugami/DFM-benchmarks/main/data/annotations/CSL-Large.csv\n",
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- "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.110.133, 185.199.108.133, ...\n",
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- "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.\n",
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- "HTTP request sent, awaiting response... 200 OK\n",
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- "Length: 1130946 (1.1M) [text/plain]\n",
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- "Saving to: ‘./temp/CSL-Large.csv.1’\n",
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- "\n",
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- "CSL-Large.csv.1 100%[===================>] 1.08M 5.72MB/s in 0.2s \n",
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- "\n",
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- "2023-05-29 19:03:23 (5.72 MB/s) - ‘./temp/CSL-Large.csv.1’ saved [1130946/1130946]\n",
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- "\n"
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  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
151
  }
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  ],
153
  "source": [
154
- "# download latest CSV from github\n",
155
- "!wget -P ./temp https://raw.githubusercontent.com/docugami/DFM-benchmarks/main/data/annotations/CSL-Large.csv"
 
 
 
156
  ]
157
  },
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  {
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  "cell_type": "code",
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- "execution_count": 10,
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  "metadata": {},
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  "outputs": [
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Downloading and preparing dataset csv/default to /root/.cache/huggingface/datasets/csv/default-386db05c8f0598e0/0.0.0...\n"
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- ]
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- },
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- {
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- "data": {
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- "application/vnd.jupyter.widget-view+json": {
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- "model_id": "63298c1dcbd642468f3cc580bcc80297",
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- "version_major": 2,
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- "version_minor": 0
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- },
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- "text/plain": [
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- "Downloading data files: 0%| | 0/1 [00:00<?, ?it/s]"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "application/vnd.jupyter.widget-view+json": {
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- "model_id": "4d2d9eec67e64fcba634c69f2453beaf",
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- "version_major": 2,
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- "version_minor": 0
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- },
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- ]
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "application/vnd.jupyter.widget-view+json": {
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- "model_id": "69c7b2b3090a488bad506b66496105c4",
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- "version_major": 2,
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- "version_minor": 0
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- },
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- "text/plain": [
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- "Generating train split: 0 examples [00:00, ? examples/s]"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Dataset csv downloaded and prepared to /root/.cache/huggingface/datasets/csv/default-386db05c8f0598e0/0.0.0. Subsequent calls will reuse this data.\n"
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- ]
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- },
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  {
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  "data": {
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- "application/vnd.jupyter.widget-view+json": {
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- "model_id": "0c719935d3824027b1caa3260bcbbf1e",
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- "version_major": 2,
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- "version_minor": 0
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- },
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  "text/plain": [
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  ]
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  },
 
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  "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "application/vnd.jupyter.widget-view+json": {
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- "model_id": "fb17ac28c0044959bf19f24a8c33e2a0",
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- "version_major": 2,
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- },
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- "text/plain": [
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- ]
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "application/vnd.jupyter.widget-view+json": {
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- "model_id": "a0cc1556120a41dfaa6fa36c07cb67c2",
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- "version_major": 2,
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- "version_minor": 0
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- },
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- "text/plain": [
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "application/vnd.jupyter.widget-view+json": {
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- "model_id": "d24bc578be9347eba62f452e489cb568",
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- "version_major": 2,
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- "version_minor": 0
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- },
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- "text/plain": [
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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  }
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  ],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "source": [
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  "from datasets import Dataset\n",
278
  "\n",
@@ -282,13 +129,6 @@
282
  "# Push the dataset to the Hugging Face Hub\n",
283
  "dataset.push_to_hub(DATASET_NAME, split=\"eval\")"
284
  ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": null,
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- "metadata": {},
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- "outputs": [],
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- "source": []
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  }
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  ],
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  "metadata": {
 
12
  },
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  {
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  "cell_type": "code",
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+ "execution_count": 1,
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  "metadata": {},
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  "outputs": [],
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  "source": [
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": null,
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  "metadata": {},
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+ "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
27
  "source": [
28
  "# install dependencies and get a token\n",
29
  "!pip install datasets huggingface_hub ipywidgets\n",
 
33
  ]
34
  },
35
  {
 
36
  "cell_type": "markdown",
37
  "metadata": {},
38
  "source": [
39
+ "# Explore Dataset"
 
40
  ]
41
  },
42
  {
43
  "cell_type": "code",
44
+ "execution_count": 2,
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  "metadata": {},
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  "outputs": [
47
  {
48
+ "name": "stderr",
49
  "output_type": "stream",
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  "text": [
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+ "Found cached dataset parquet (/root/.cache/huggingface/datasets/docugami___parquet/docugami--dfm-csl-large-benchmark-1b323996e223b130/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n"
 
 
 
 
 
 
 
 
 
 
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  ]
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+ },
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+ {
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+ "data": {
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+ "text/plain": [
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+ "Dataset({\n",
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+ " features: ['Text', 'Ground Truth', 'docugami/dfm-csl-large'],\n",
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+ " num_rows: 1088\n",
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+ "})"
61
+ ]
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+ },
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+ "execution_count": 2,
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+ "metadata": {},
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+ "output_type": "execute_result"
66
  }
67
  ],
68
  "source": [
69
+ "from datasets import load_dataset\n",
70
+ "\n",
71
+ "# Download and check out metadata for dataset\n",
72
+ "dataset = load_dataset(\"docugami/dfm-csl-large-benchmark\", split=\"eval\")\n",
73
+ "dataset"
74
  ]
75
  },
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  {
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  "cell_type": "code",
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+ "execution_count": 3,
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  "metadata": {},
80
  "outputs": [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
81
  {
82
  "data": {
 
 
 
 
 
83
  "text/plain": [
84
+ "{'Text': \"Tenant, at all times during the term of this Lease and at Tenant's expense, shall provide and keep in force with insurers reasonably approved by Landlord Commercial General Liability insurance against all claims for personal injury, bodily injury, death or property damage occurring upon, in or about the Premises, such insurance (a) to be on an occurrence basis with a general aggregate of not less than\",\n",
85
+ " 'Ground Truth': 'Commercial General Liability Insurance',\n",
86
+ " 'docugami/dfm-csl-large': 'Commercial General Liability Insurance'}"
87
  ]
88
  },
89
+ "execution_count": 3,
90
  "metadata": {},
91
+ "output_type": "execute_result"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
92
  }
93
  ],
94
+ "source": [
95
+ "# let's look at one of the rows\n",
96
+ "dataset[-1]"
97
+ ]
98
+ },
99
+ {
100
+ "attachments": {},
101
+ "cell_type": "markdown",
102
+ "metadata": {},
103
+ "source": [
104
+ "# Update Dataset from Github\n",
105
+ "Note: this requires write access to the dataset."
106
+ ]
107
+ },
108
+ {
109
+ "cell_type": "code",
110
+ "execution_count": null,
111
+ "metadata": {},
112
+ "outputs": [],
113
+ "source": [
114
+ "# download latest CSV from github\n",
115
+ "!wget -P ./temp https://raw.githubusercontent.com/docugami/DFM-benchmarks/main/data/annotations/CSL-Large.csv"
116
+ ]
117
+ },
118
+ {
119
+ "cell_type": "code",
120
+ "execution_count": null,
121
+ "metadata": {},
122
+ "outputs": [],
123
  "source": [
124
  "from datasets import Dataset\n",
125
  "\n",
 
129
  "# Push the dataset to the Hugging Face Hub\n",
130
  "dataset.push_to_hub(DATASET_NAME, split=\"eval\")"
131
  ]
 
 
 
 
 
 
 
132
  }
133
  ],
134
  "metadata": {