Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Sub-tasks:
language-modeling
Languages:
code
Size:
100K - 1M
License:
repo_name stringlengths 6 92 | path stringlengths 7 220 | copies stringclasses 78
values | size stringlengths 2 9 | content stringlengths 15 1.05M ⌀ | license stringclasses 15
values |
|---|---|---|---|---|---|
alexjj/pancham | pandas-cookbook/cookbook/Chapter 4 - Find out on which weekday people bike the most with groupby and aggregate.ipynb | 1 | 140728 | {
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline\n",
"\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"pd.se... | unlicense |
pk-ai/training | machine-learning/deep-learning/udacity/ud730/1_notmnist.ipynb | 1 | 68918 | "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {\n \"colab_type\": \"t(...TRUNCATED) | mit |
flaviostutz/datascience-snippets | kaggle-sea-lion/07-train-lion-patches-single.ipynb | 1 | 100711 | "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {\n \"deletable\": true(...TRUNCATED) | mit |
analyticsguru/NUPredict480FinalProject | predict480FinalProjectDataPrep.ipynb | 1 | 125571 | "{\n \"cells\": [\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {\(...TRUNCATED) | mit |
wd15/extremefill2D | notebooks/fig3a_sim.ipynb | 1 | 1599 | "{\n \"metadata\": {\n \"name\": \"fig3a_sim_nx200\"\n },\n \"nbformat\": 3,\n \"nbformat_minor\": (...TRUNCATED) | mit |
rafaelscnunes/COS738-AutomaticPatentClassification | GitHub/classification-TF-1gram.ipynb | 1 | 303043 | "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n (...TRUNCATED) | mit |
CompPhysics/MachineLearning | "doc/Programs/JupyterFiles/Examples/Scikit-Learn Website Examples/KNNeighbors Example from Sci-Kit L(...TRUNCATED) | 1 | 67660 | "{\n \"cells\": [\n {\n \"cell_type\": \"code\",\n \"execution_count\": 6,\n \"metadata\": {}(...TRUNCATED) | cc0-1.0 |
birdsarah/bokeh-miscellany | old/slider_example/Gapminder homage 0_3 html with population - better slice.ipynb | 1 | 2256903 | null | gpl-2.0 |
luwei0917/awsemmd_script | notebook/GlpG_paper/apr_week2_Fourth.ipynb | 1 | 4681388 | null | mit |
mattgiguere/doglodge | code/.ipynb_checkpoints/bf_qt_scraping-checkpoint.ipynb | 1 | 14699 | "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n (...TRUNCATED) | mit |
End of preview. Expand in Data Studio
GitHub Jupyter Dataset
Dataset Description
The dataset was extracted from Jupyter Notebooks on BigQuery.
Licenses
Each example has the license of its associated repository. There are in total 15 licenses:
[
'mit',
'apache-2.0',
'gpl-3.0',
'gpl-2.0',
'bsd-3-clause',
'agpl-3.0',
'lgpl-3.0',
'lgpl-2.1',
'bsd-2-clause',
'cc0-1.0',
'epl-1.0',
'mpl-2.0',
'unlicense',
'isc',
'artistic-2.0'
]
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