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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Season"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"s01\n"
]
}
],
"source": [
"import requests\n",
"import json\n",
"\n",
"# read the JSON file from the web\n",
"json_file = 'https://raw.githubusercontent.com/emorynlp/character-mining/master/json/friends_season_01.json'\n",
"r = requests.get(json_file)\n",
"\n",
"# load season 1\n",
"season = json.loads(r.text)\n",
"season_id = season['season_id']\n",
"print(season_id)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Episodes"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"s01_e01\n",
"s01_e02\n",
"s01_e03\n",
"s01_e04\n",
"s01_e05\n",
"s01_e06\n",
"s01_e07\n",
"s01_e08\n",
"s01_e09\n",
"s01_e10\n",
"s01_e11\n",
"s01_e12\n",
"s01_e13\n",
"s01_e14\n",
"s01_e15\n",
"s01_e16\n",
"s01_e17\n",
"s01_e18\n",
"s01_e19\n",
"s01_e20\n",
"s01_e21\n",
"s01_e22\n",
"s01_e23\n",
"s01_e24\n"
]
}
],
"source": [
"# retrieve episodes\n",
"episodes = season['episodes']\n",
"\n",
"# iterate through the episodes\n",
"for episode in episodes:\n",
" episode_id = episode['episode_id']\n",
" print(episode_id)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Scenes"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"s01_e18_c01\n",
"s01_e18_c02\n",
"s01_e18_c03\n",
"s01_e18_c04\n",
"s01_e18_c05\n",
"s01_e18_c06\n",
"s01_e18_c07\n",
"s01_e18_c08\n"
]
}
],
"source": [
"# retrive scenes from the 18th episode\n",
"episode = episodes[17]\n",
"scenes = episode['scenes']\n",
"\n",
"# iterate through the scenes\n",
"for scene in scenes:\n",
" scene_id = scene['scene_id']\n",
" print(scene_id)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Utterances"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"s01_e18_c05_u001\n",
"s01_e18_c05_u002\n",
"s01_e18_c05_u003\n",
"s01_e18_c05_u004\n",
"s01_e18_c05_u005\n",
"s01_e18_c05_u006\n",
"s01_e18_c05_u007\n",
"s01_e18_c05_u008\n",
"s01_e18_c05_u009\n",
"s01_e18_c05_u010\n",
"s01_e18_c05_u011\n",
"s01_e18_c05_u012\n",
"s01_e18_c05_u013\n",
"s01_e18_c05_u014\n",
"s01_e18_c05_u015\n",
"s01_e18_c05_u016\n",
"s01_e18_c05_u017\n",
"s01_e18_c05_u018\n",
"s01_e18_c05_u019\n",
"s01_e18_c05_u020\n",
"s01_e18_c05_u021\n",
"s01_e18_c05_u022\n"
]
}
],
"source": [
"# retrieve utterances from the 5th scene\n",
"scene = scenes[4]\n",
"utterances = scene['utterances']\n",
"\n",
"# iterate through the utterances\n",
"for utterance in utterances:\n",
" utterance_id = utterance['utterance_id']\n",
" print(utterance_id)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Utterance"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Phoebe Buffay', 'Rachel Green']\n",
"Yes, we should. I think we should.\n",
"[['Yes', ',', 'we', 'should', '.'], ['I', 'think', 'we', 'should', '.']]\n"
]
}
],
"source": [
"# retrive fields from the 18th utterance\n",
"utterance = utterances[17]\n",
"\n",
"# list of speakers\n",
"speakers = utterance['speakers']\n",
"print(speakers)\n",
"\n",
"# the original transcript\n",
"transcript = utterance['transcript']\n",
"print(transcript)\n",
"\n",
"# list of sentences, where each sentence is a list of tokens\n",
"tokens = utterance['tokens']\n",
"print(tokens)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For seasons 6-9, caption information is available."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Begin time in milliseconds: 6923\n",
"End time in milliseconds: 8382\n",
"Text: you sure you wanna do this\n"
]
}
],
"source": [
"# load season 6\n",
"json_file = 'https://raw.githubusercontent.com/emorynlp/character-mining/master/json/friends_season_06.json'\n",
"r = requests.get(json_file)\n",
"season = json.loads(r.text)\n",
"\n",
"# 1st episode, 1st scene, 3rd utterance\n",
"utterance = season['episodes'][0]['scenes'][0]['utterances'][2]\n",
"caption = utterance['caption']\n",
"\n",
"print('Begin time in milliseconds: %d' % caption[0])\n",
"print('End time in milliseconds: %d' % caption[1])\n",
"print('Text: %s' % caption[2])"
]
}
],
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"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",
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"nbformat": 4,
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