Add nb

create-datasets.ipynb

@@ -0,0 +1,1151 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "058cad15-13fc-470a-8cbf-38ba779e8b44",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "76fccd62-f056-442c-9115-ec606fa2ec8b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from datasets import load_dataset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "994b7360-11b8-4287-be08-455d9657fb08",
+   "metadata": {},
+   "source": [
+    "## Download data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "24c937d0-ef81-47be-9115-630fdf30ae2c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--2022-04-16 11:57:39--  https://zenodo.org/record/2603256/files/train.h5\n",
+      "Resolving zenodo.org (zenodo.org)... 137.138.76.77\n",
+      "Connecting to zenodo.org (zenodo.org)|137.138.76.77|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 1038496555 (990M) [application/octet-stream]\n",
+      "Saving to: ‘train.h5’\n",
+      "\n",
+      "train.h5            100%[===================>] 990.39M  50.5MB/s    in 20s     \n",
+      "\n",
+      "2022-04-16 11:57:59 (50.8 MB/s) - ‘train.h5’ saved [1038496555/1038496555]\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "!wget -O train.h5 https://zenodo.org/record/2603256/files/train.h5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "4a37ee28-fb23-4ed9-b0dd-c9bfdfcd516c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--2022-04-16 11:58:03--  https://zenodo.org/record/2603256/files/val.h5\n",
+      "Resolving zenodo.org (zenodo.org)... 137.138.76.77\n",
+      "Connecting to zenodo.org (zenodo.org)|137.138.76.77|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 347378076 (331M) [application/octet-stream]\n",
+      "Saving to: ‘validation.h5’\n",
+      "\n",
+      "validation.h5       100%[===================>] 331.29M  41.8MB/s    in 9.5s    \n",
+      "\n",
+      "2022-04-16 11:58:13 (34.7 MB/s) - ‘validation.h5’ saved [347378076/347378076]\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "!wget -O validation.h5 https://zenodo.org/record/2603256/files/val.h5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d7ddd1a1-b452-4504-a04b-b5f8a8bcf61d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--2022-04-16 11:58:15--  https://zenodo.org/record/2603256/files/test.h5\n",
+      "Resolving zenodo.org (zenodo.org)... 137.138.76.77\n",
+      "Connecting to zenodo.org (zenodo.org)|137.138.76.77|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 347849376 (332M) [application/octet-stream]\n",
+      "Saving to: ‘test.h5’\n",
+      "\n",
+      "test.h5             100%[===================>] 331.73M  14.9MB/s    in 21s     \n",
+      "\n",
+      "2022-04-16 11:58:37 (15.9 MB/s) - ‘test.h5’ saved [347849376/347849376]\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "!wget -O test.h5 https://zenodo.org/record/2603256/files/test.h5"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "58c66318-07f9-442e-bc8a-3496fe20ab5a",
+   "metadata": {},
+   "source": [
+    "## Convert to parquet"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "1a06b45e-a7b8-4bd0-859a-46de3cf90081",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert_to_parquet(split):\n",
+    "    df = pd.read_hdf(f\"{split}.h5\", key=\"table\")\n",
+    "    df.to_parquet(f\"{split}.parquet\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "3e1a0cdc-436f-495a-96e7-ae1eda7ceaae",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for split in [\"train\", \"validation\", \"test\"]:\n",
+    "    convert_to_parquet(split)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "48696caa-7f47-43ef-8056-9ff45ec9c8d2",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Check loading script"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "1e4e06f8-c5cf-49e1-b932-833e3dd85b03",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using custom data configuration dl4phys--top_quark_tagging-d8129c455ccac2e9\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading and preparing dataset parquet/dl4phys--top_quark_tagging to /Users/lewtun/.cache/huggingface/datasets/parquet/dl4phys--top_quark_tagging-d8129c455ccac2e9/0.0.0/0b6d5799bb726b24ad7fc7be720c170d8e497f575d02d47537de9a5bac074901...\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6477d7e388124b728dc9b4702c2ca612",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading data files:   0%|          | 0/3 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3d6d524273b246aeb8bc3c70a4e00ad9",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading data:   0%|          | 0.00/1.28G [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fa9e68e401b840f19849c274f9b3e563",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading data:   0%|          | 0.00/509M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "22e5f87e05b240308d6badc7f66ea62f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading data:   0%|          | 0.00/508M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "bb0e92a6386846eda5af7c056fe74dd4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Extracting data files:   0%|          | 0/3 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dataset parquet downloaded and prepared to /Users/lewtun/.cache/huggingface/datasets/parquet/dl4phys--top_quark_tagging-d8129c455ccac2e9/0.0.0/0b6d5799bb726b24ad7fc7be720c170d8e497f575d02d47537de9a5bac074901. Subsequent calls will reuse this data.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e28bae800f2745a5a415e3cd65431ec2",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "DatasetDict({\n",
+       "    train: Dataset({\n",
+       "        features: ['E_0', 'PX_0', 'PY_0', 'PZ_0', 'E_1', 'PX_1', 'PY_1', 'PZ_1', 'E_2', 'PX_2', 'PY_2', 'PZ_2', 'E_3', 'PX_3', 'PY_3', 'PZ_3', 'E_4', 'PX_4', 'PY_4', 'PZ_4', 'E_5', 'PX_5', 'PY_5', 'PZ_5', 'E_6', 'PX_6', 'PY_6', 'PZ_6', 'E_7', 'PX_7', 'PY_7', 'PZ_7', 'E_8', 'PX_8', 'PY_8', 'PZ_8', 'E_9', 'PX_9', 'PY_9', 'PZ_9', 'E_10', 'PX_10', 'PY_10', 'PZ_10', 'E_11', 'PX_11', 'PY_11', 'PZ_11', 'E_12', 'PX_12', 'PY_12', 'PZ_12', 'E_13', 'PX_13', 'PY_13', 'PZ_13', 'E_14', 'PX_14', 'PY_14', 'PZ_14', 'E_15', 'PX_15', 'PY_15', 'PZ_15', 'E_16', 'PX_16', 'PY_16', 'PZ_16', 'E_17', 'PX_17', 'PY_17', 'PZ_17', 'E_18', 'PX_18', 'PY_18', 'PZ_18', 'E_19', 'PX_19', 'PY_19', 'PZ_19', 'E_20', 'PX_20', 'PY_20', 'PZ_20', 'E_21', 'PX_21', 'PY_21', 'PZ_21', 'E_22', 'PX_22', 'PY_22', 'PZ_22', 'E_23', 'PX_23', 'PY_23', 'PZ_23', 'E_24', 'PX_24', 'PY_24', 'PZ_24', 'E_25', 'PX_25', 'PY_25', 'PZ_25', 'E_26', 'PX_26', 'PY_26', 'PZ_26', 'E_27', 'PX_27', 'PY_27', 'PZ_27', 'E_28', 'PX_28', 'PY_28', 'PZ_28', 'E_29', 'PX_29', 'PY_29', 'PZ_29', 'E_30', 'PX_30', 'PY_30', 'PZ_30', 'E_31', 'PX_31', 'PY_31', 'PZ_31', 'E_32', 'PX_32', 'PY_32', 'PZ_32', 'E_33', 'PX_33', 'PY_33', 'PZ_33', 'E_34', 'PX_34', 'PY_34', 'PZ_34', 'E_35', 'PX_35', 'PY_35', 'PZ_35', 'E_36', 'PX_36', 'PY_36', 'PZ_36', 'E_37', 'PX_37', 'PY_37', 'PZ_37', 'E_38', 'PX_38', 'PY_38', 'PZ_38', 'E_39', 'PX_39', 'PY_39', 'PZ_39', 'E_40', 'PX_40', 'PY_40', 'PZ_40', 'E_41', 'PX_41', 'PY_41', 'PZ_41', 'E_42', 'PX_42', 'PY_42', 'PZ_42', 'E_43', 'PX_43', 'PY_43', 'PZ_43', 'E_44', 'PX_44', 'PY_44', 'PZ_44', 'E_45', 'PX_45', 'PY_45', 'PZ_45', 'E_46', 'PX_46', 'PY_46', 'PZ_46', 'E_47', 'PX_47', 'PY_47', 'PZ_47', 'E_48', 'PX_48', 'PY_48', 'PZ_48', 'E_49', 'PX_49', 'PY_49', 'PZ_49', 'E_50', 'PX_50', 'PY_50', 'PZ_50', 'E_51', 'PX_51', 'PY_51', 'PZ_51', 'E_52', 'PX_52', 'PY_52', 'PZ_52', 'E_53', 'PX_53', 'PY_53', 'PZ_53', 'E_54', 'PX_54', 'PY_54', 'PZ_54', 'E_55', 'PX_55', 'PY_55', 'PZ_55', 'E_56', 'PX_56', 'PY_56', 'PZ_56', 'E_57', 'PX_57', 'PY_57', 'PZ_57', 'E_58', 'PX_58', 'PY_58', 'PZ_58', 'E_59', 'PX_59', 'PY_59', 'PZ_59', 'E_60', 'PX_60', 'PY_60', 'PZ_60', 'E_61', 'PX_61', 'PY_61', 'PZ_61', 'E_62', 'PX_62', 'PY_62', 'PZ_62', 'E_63', 'PX_63', 'PY_63', 'PZ_63', 'E_64', 'PX_64', 'PY_64', 'PZ_64', 'E_65', 'PX_65', 'PY_65', 'PZ_65', 'E_66', 'PX_66', 'PY_66', 'PZ_66', 'E_67', 'PX_67', 'PY_67', 'PZ_67', 'E_68', 'PX_68', 'PY_68', 'PZ_68', 'E_69', 'PX_69', 'PY_69', 'PZ_69', 'E_70', 'PX_70', 'PY_70', 'PZ_70', 'E_71', 'PX_71', 'PY_71', 'PZ_71', 'E_72', 'PX_72', 'PY_72', 'PZ_72', 'E_73', 'PX_73', 'PY_73', 'PZ_73', 'E_74', 'PX_74', 'PY_74', 'PZ_74', 'E_75', 'PX_75', 'PY_75', 'PZ_75', 'E_76', 'PX_76', 'PY_76', 'PZ_76', 'E_77', 'PX_77', 'PY_77', 'PZ_77', 'E_78', 'PX_78', 'PY_78', 'PZ_78', 'E_79', 'PX_79', 'PY_79', 'PZ_79', 'E_80', 'PX_80', 'PY_80', 'PZ_80', 'E_81', 'PX_81', 'PY_81', 'PZ_81', 'E_82', 'PX_82', 'PY_82', 'PZ_82', 'E_83', 'PX_83', 'PY_83', 'PZ_83', 'E_84', 'PX_84', 'PY_84', 'PZ_84', 'E_85', 'PX_85', 'PY_85', 'PZ_85', 'E_86', 'PX_86', 'PY_86', 'PZ_86', 'E_87', 'PX_87', 'PY_87', 'PZ_87', 'E_88', 'PX_88', 'PY_88', 'PZ_88', 'E_89', 'PX_89', 'PY_89', 'PZ_89', 'E_90', 'PX_90', 'PY_90', 'PZ_90', 'E_91', 'PX_91', 'PY_91', 'PZ_91', 'E_92', 'PX_92', 'PY_92', 'PZ_92', 'E_93', 'PX_93', 'PY_93', 'PZ_93', 'E_94', 'PX_94', 'PY_94', 'PZ_94', 'E_95', 'PX_95', 'PY_95', 'PZ_95', 'E_96', 'PX_96', 'PY_96', 'PZ_96', 'E_97', 'PX_97', 'PY_97', 'PZ_97', 'E_98', 'PX_98', 'PY_98', 'PZ_98', 'E_99', 'PX_99', 'PY_99', 'PZ_99', 'E_100', 'PX_100', 'PY_100', 'PZ_100', 'E_101', 'PX_101', 'PY_101', 'PZ_101', 'E_102', 'PX_102', 'PY_102', 'PZ_102', 'E_103', 'PX_103', 'PY_103', 'PZ_103', 'E_104', 'PX_104', 'PY_104', 'PZ_104', 'E_105', 'PX_105', 'PY_105', 'PZ_105', 'E_106', 'PX_106', 'PY_106', 'PZ_106', 'E_107', 'PX_107', 'PY_107', 'PZ_107', 'E_108', 'PX_108', 'PY_108', 'PZ_108', 'E_109', 'PX_109', 'PY_109', 'PZ_109', 'E_110', 'PX_110', 'PY_110', 'PZ_110', 'E_111', 'PX_111', 'PY_111', 'PZ_111', 'E_112', 'PX_112', 'PY_112', 'PZ_112', 'E_113', 'PX_113', 'PY_113', 'PZ_113', 'E_114', 'PX_114', 'PY_114', 'PZ_114', 'E_115', 'PX_115', 'PY_115', 'PZ_115', 'E_116', 'PX_116', 'PY_116', 'PZ_116', 'E_117', 'PX_117', 'PY_117', 'PZ_117', 'E_118', 'PX_118', 'PY_118', 'PZ_118', 'E_119', 'PX_119', 'PY_119', 'PZ_119', 'E_120', 'PX_120', 'PY_120', 'PZ_120', 'E_121', 'PX_121', 'PY_121', 'PZ_121', 'E_122', 'PX_122', 'PY_122', 'PZ_122', 'E_123', 'PX_123', 'PY_123', 'PZ_123', 'E_124', 'PX_124', 'PY_124', 'PZ_124', 'E_125', 'PX_125', 'PY_125', 'PZ_125', 'E_126', 'PX_126', 'PY_126', 'PZ_126', 'E_127', 'PX_127', 'PY_127', 'PZ_127', 'E_128', 'PX_128', 'PY_128', 'PZ_128', 'E_129', 'PX_129', 'PY_129', 'PZ_129', 'E_130', 'PX_130', 'PY_130', 'PZ_130', 'E_131', 'PX_131', 'PY_131', 'PZ_131', 'E_132', 'PX_132', 'PY_132', 'PZ_132', 'E_133', 'PX_133', 'PY_133', 'PZ_133', 'E_134', 'PX_134', 'PY_134', 'PZ_134', 'E_135', 'PX_135', 'PY_135', 'PZ_135', 'E_136', 'PX_136', 'PY_136', 'PZ_136', 'E_137', 'PX_137', 'PY_137', 'PZ_137', 'E_138', 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'PZ_163', 'E_164', 'PX_164', 'PY_164', 'PZ_164', 'E_165', 'PX_165', 'PY_165', 'PZ_165', 'E_166', 'PX_166', 'PY_166', 'PZ_166', 'E_167', 'PX_167', 'PY_167', 'PZ_167', 'E_168', 'PX_168', 'PY_168', 'PZ_168', 'E_169', 'PX_169', 'PY_169', 'PZ_169', 'E_170', 'PX_170', 'PY_170', 'PZ_170', 'E_171', 'PX_171', 'PY_171', 'PZ_171', 'E_172', 'PX_172', 'PY_172', 'PZ_172', 'E_173', 'PX_173', 'PY_173', 'PZ_173', 'E_174', 'PX_174', 'PY_174', 'PZ_174', 'E_175', 'PX_175', 'PY_175', 'PZ_175', 'E_176', 'PX_176', 'PY_176', 'PZ_176', 'E_177', 'PX_177', 'PY_177', 'PZ_177', 'E_178', 'PX_178', 'PY_178', 'PZ_178', 'E_179', 'PX_179', 'PY_179', 'PZ_179', 'E_180', 'PX_180', 'PY_180', 'PZ_180', 'E_181', 'PX_181', 'PY_181', 'PZ_181', 'E_182', 'PX_182', 'PY_182', 'PZ_182', 'E_183', 'PX_183', 'PY_183', 'PZ_183', 'E_184', 'PX_184', 'PY_184', 'PZ_184', 'E_185', 'PX_185', 'PY_185', 'PZ_185', 'E_186', 'PX_186', 'PY_186', 'PZ_186', 'E_187', 'PX_187', 'PY_187', 'PZ_187', 'E_188', 'PX_188', 'PY_188', 'PZ_188', 'E_189', 'PX_189', 'PY_189', 'PZ_189', 'E_190', 'PX_190', 'PY_190', 'PZ_190', 'E_191', 'PX_191', 'PY_191', 'PZ_191', 'E_192', 'PX_192', 'PY_192', 'PZ_192', 'E_193', 'PX_193', 'PY_193', 'PZ_193', 'E_194', 'PX_194', 'PY_194', 'PZ_194', 'E_195', 'PX_195', 'PY_195', 'PZ_195', 'E_196', 'PX_196', 'PY_196', 'PZ_196', 'E_197', 'PX_197', 'PY_197', 'PZ_197', 'E_198', 'PX_198', 'PY_198', 'PZ_198', 'E_199', 'PX_199', 'PY_199', 'PZ_199', 'truthE', 'truthPX', 'truthPY', 'truthPZ', 'ttv', 'is_signal_new'],\n",
+       "        num_rows: 1211000\n",
+       "    })\n",
+       "    test: Dataset({\n",
+       "        features: ['E_0', 'PX_0', 'PY_0', 'PZ_0', 'E_1', 'PX_1', 'PY_1', 'PZ_1', 'E_2', 'PX_2', 'PY_2', 'PZ_2', 'E_3', 'PX_3', 'PY_3', 'PZ_3', 'E_4', 'PX_4', 'PY_4', 'PZ_4', 'E_5', 'PX_5', 'PY_5', 'PZ_5', 'E_6', 'PX_6', 'PY_6', 'PZ_6', 'E_7', 'PX_7', 'PY_7', 'PZ_7', 'E_8', 'PX_8', 'PY_8', 'PZ_8', 'E_9', 'PX_9', 'PY_9', 'PZ_9', 'E_10', 'PX_10', 'PY_10', 'PZ_10', 'E_11', 'PX_11', 'PY_11', 'PZ_11', 'E_12', 'PX_12', 'PY_12', 'PZ_12', 'E_13', 'PX_13', 'PY_13', 'PZ_13', 'E_14', 'PX_14', 'PY_14', 'PZ_14', 'E_15', 'PX_15', 'PY_15', 'PZ_15', 'E_16', 'PX_16', 'PY_16', 'PZ_16', 'E_17', 'PX_17', 'PY_17', 'PZ_17', 'E_18', 'PX_18', 'PY_18', 'PZ_18', 'E_19', 'PX_19', 'PY_19', 'PZ_19', 'E_20', 'PX_20', 'PY_20', 'PZ_20', 'E_21', 'PX_21', 'PY_21', 'PZ_21', 'E_22', 'PX_22', 'PY_22', 'PZ_22', 'E_23', 'PX_23', 'PY_23', 'PZ_23', 'E_24', 'PX_24', 'PY_24', 'PZ_24', 'E_25', 'PX_25', 'PY_25', 'PZ_25', 'E_26', 'PX_26', 'PY_26', 'PZ_26', 'E_27', 'PX_27', 'PY_27', 'PZ_27', 'E_28', 'PX_28', 'PY_28', 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+       "        num_rows: 404000\n",
+       "    })\n",
+       "    validation: Dataset({\n",
+       "        features: ['E_0', 'PX_0', 'PY_0', 'PZ_0', 'E_1', 'PX_1', 'PY_1', 'PZ_1', 'E_2', 'PX_2', 'PY_2', 'PZ_2', 'E_3', 'PX_3', 'PY_3', 'PZ_3', 'E_4', 'PX_4', 'PY_4', 'PZ_4', 'E_5', 'PX_5', 'PY_5', 'PZ_5', 'E_6', 'PX_6', 'PY_6', 'PZ_6', 'E_7', 'PX_7', 'PY_7', 'PZ_7', 'E_8', 'PX_8', 'PY_8', 'PZ_8', 'E_9', 'PX_9', 'PY_9', 'PZ_9', 'E_10', 'PX_10', 'PY_10', 'PZ_10', 'E_11', 'PX_11', 'PY_11', 'PZ_11', 'E_12', 'PX_12', 'PY_12', 'PZ_12', 'E_13', 'PX_13', 'PY_13', 'PZ_13', 'E_14', 'PX_14', 'PY_14', 'PZ_14', 'E_15', 'PX_15', 'PY_15', 'PZ_15', 'E_16', 'PX_16', 'PY_16', 'PZ_16', 'E_17', 'PX_17', 'PY_17', 'PZ_17', 'E_18', 'PX_18', 'PY_18', 'PZ_18', 'E_19', 'PX_19', 'PY_19', 'PZ_19', 'E_20', 'PX_20', 'PY_20', 'PZ_20', 'E_21', 'PX_21', 'PY_21', 'PZ_21', 'E_22', 'PX_22', 'PY_22', 'PZ_22', 'E_23', 'PX_23', 'PY_23', 'PZ_23', 'E_24', 'PX_24', 'PY_24', 'PZ_24', 'E_25', 'PX_25', 'PY_25', 'PZ_25', 'E_26', 'PX_26', 'PY_26', 'PZ_26', 'E_27', 'PX_27', 'PY_27', 'PZ_27', 'E_28', 'PX_28', 'PY_28', 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+       "        num_rows: 403000\n",
+       "    })\n",
+       "})"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = load_dataset(\"dl4phys/top_quark_tagging\")\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "5cff9490-ed63-4590-8e2e-cd9cfe6f02c5",
+   "metadata": {},
+   "outputs": [
+    {
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+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}