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@osbm
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Zenodo file downloader.ipynb
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.0/1.0 MB\u001b[0m \u001b[31m32.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m236.8/236.8 kB\u001b[0m \u001b[31m22.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m114.5/114.5 kB\u001b[0m \u001b[31m10.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m20.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m149.6/149.6 kB\u001b[0m \u001b[31m15.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h"
]
}
],
"source": [
"!pip install --quiet datasets"
]
},
{
"cell_type": "code",
"source": [
"from datasets import load_dataset\n",
"load_dataset(\"osbm/zenodo\", \"5172018_FDB-17-fragmentset.smi.gz\")\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 344,
"referenced_widgets": [
"ab7c3c0966224c63bb0e330b595d4b09",
"023792aab3584589a055d6e79bb27527",
"18e4c368641f4d11bf4b0b578b97ee05",
"0fe033f77bed4d489cfdcccbbc0b9f8b",
"147c1eb3ef874a52a9df572de1d78452",
"586a29ad00cb453a8259a07bfd91ba23",
"a9d7cac017c64a2bb3837b86581025f8",
"1e924ea65bb24d7281055c837fefa69d",
"cb0b8c3f21d54661891f76b7df6bc125",
"ccb1b5843be84d7b9aded95a0d771082",
"ec5654629d8646a4bdf9bdfa145e497d",
"94962018e0d54cfbab2f4b3bf3378ec7",
"97074caa1ce34622b00e14c4e0566d76",
"87f0b042c1fd49eca2246efae2901ea5",
"69292fd21a2d492588f8246c5d782d73",
"b27bdff366ea40e18e763a90fffddb83",
"86f272708877477bb70a2d98c46cf62e",
"62e07770c8344be9bd9397d822a75cca",
"b2a24ed3bb9e441889aeee0baf88a9fb",
"f07e9e23756e429abd5dbe15620b8a0f",
"ddd9997010164f8483f3106ce8dccadd",
"c1bb173adc7e4c47b567542bf9e59c2a",
"b9776a5ed0684ebd874e720aaf33c662",
"9aa28edd27774b35a5f584c99635a590",
"ad30a3723460463fb5a40941af4ce6f2",
"637fe5ec3f7043c0b82dc351864339a7",
"8d446da87b0747f28e81265ecfe94a84",
"3d85baac5f994613bac60767ce4f4a88",
"5aaab3e50c9448078923b4f302946133",
"40c85258bd55489490888ea4a80a475e",
"18e790e902194f1dae7435e2262157b6",
"5faffed90e2446b1a049c03beb05278c",
"7dfabd9c3fb44cea93c00362f1790cf4",
"13e43ab47cf04a62bbec206d386323d4",
"b8875c83c65c49c28ddbbf0fc925e59f",
"f9e780832f634303868d4a867712f93f",
"e104daf223fe4c538bb8f6dc1e9a1f5b",
"4c47a936441648e1969eabf909966bec",
"081c3db374f64e1fb278ba84ffb2dfd5",
"0d9aefab7dc64740bd56a481e349f479",
"bb45efa1e2a8457c8c00d161d22aa85d",
"f2c3446c066c4ec088f5b3a93642bc9c",
"6e685a03b034469dac0db32fa3d5e5af",
"cb91aca62bc74d8eb9022d78f49be477",
"ac482dd991a14dd1af511fbbf8ced4a9",
"561bc5f23450455eab91ce2f1a3ea8c9",
"dbf82ff560f545349f0a4e4ba24fa558",
"26609618b1724d219f61fb78d740e047",
"c2f1766de5c54e4d88e15f77e83da3fb",
"1f2df57d784543e792e5005e50bb0f44",
"238fdbda8bf144ee809546fd1f5fb2a3",
"dce3bd7210954ff181a1ee21377ca0f7",
"29d89b9623b7440eba91a10e0b169e18",
"b18c8de8ccfc47db995528025e0ec27a",
"33acd84580c344b18a7b1f4f525533b3",
"b40af4cb71a04a8abd557109af511e17",
"28bb6da5892e451382fbc02df0fbb641",
"c07c97d39fa04349848ec5556da618c2",
"9eb06e6b4ca84e7bb7b552741030444f",
"2c027a737e794b36b52a2de48948dbf1",
"6c9dd119302245f2a8cf539c37aa5448",
"f98309ccf3ce484db0279cc34d0816dd",
"d16567b6eeb44c8885d43fb163a03dcc",
"94ec7279f34a45d3b6d3c93af8efc4c4",
"8345c0e3e418448ea55234aed1ec4898",
"3b9c1878271e4dd7b45849b5b2a552d9"
]
},
"id": "YFpp4ih5AjHE",
"outputId": "ece4300e-cc6e-4813-c530-f1987524d6b8"
},
"execution_count": 2,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading builder script: 0%| | 0.00/1.33k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "ab7c3c0966224c63bb0e330b595d4b09"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading readme: 0%| | 0.00/396 [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "94962018e0d54cfbab2f4b3bf3378ec7"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Downloading and preparing dataset zenodo/5172018_FDB-17-fragmentset.smi.gz to /root/.cache/huggingface/datasets/osbm___zenodo/5172018_FDB-17-fragmentset.smi.gz/1.1.0/03d4413cef02b81a75422989024f22e45e5fbe4025f3b1b3e7cb4eb0de35b02e...\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading data files: 0%| | 0/1 [00:00<?, ?it/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "b9776a5ed0684ebd874e720aaf33c662"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading data: 0%| | 0.00/65.2M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "13e43ab47cf04a62bbec206d386323d4"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Generating train split: 0 examples [00:00, ? examples/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "ac482dd991a14dd1af511fbbf8ced4a9"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Dataset zenodo downloaded and prepared to /root/.cache/huggingface/datasets/osbm___zenodo/5172018_FDB-17-fragmentset.smi.gz/1.1.0/03d4413cef02b81a75422989024f22e45e5fbe4025f3b1b3e7cb4eb0de35b02e. Subsequent calls will reuse this data.\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
" 0%| | 0/1 [00:00<?, ?it/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "b40af4cb71a04a8abd557109af511e17"
}
},
"metadata": {}
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"DatasetDict({\n",
" train: Dataset({\n",
" features: ['path'],\n",
" num_rows: 1\n",
" })\n",
"})"
]
},
"metadata": {},
"execution_count": 2
}
]
},
{
"cell_type": "code",
"source": [
"!ls -lah"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "u4wtpbj7Umd9",
"outputId": "d2cb85a5-6c19-4c34-eb37-70eca904fb19"
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"total 63M\n",
"drwxr-xr-x 1 root root 4.0K Jun 12 11:28 .\n",
"drwxr-xr-x 1 root root 4.0K Jun 12 11:27 ..\n",
"drwxr-xr-x 4 root root 4.0K Jun 8 18:17 .config\n",
"-rw-r--r-- 1 root root 63M Jun 12 11:28 FDB-17-fragmentset.smi.gz\n",
"drwxr-xr-x 1 root root 4.0K Jun 8 18:18 sample_data\n"
]
}
]
}
]
}
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