krplt/spongebob_transcripts

Spongebob Transcripts Dataset 🧽

The Spongebob Transcripts Dataset is a collection of transcripts from the beloved animated television series, Spongebob Squarepants. This dataset includes information on each line of dialogue spoken by a character, including the character's name, their replica, and the episode ID.

The number of characters in the dataset: 84

Total number of words in the dataset: ~80,800 words, ~4000 rows, Updated to full Season 1

Dataset Overview 📊

Column	Description
Speaker	The character speaking the dialogue.
Replica	The line of dialogue spoken.
EP_ID	The episode ID of the transcript.

System Replicas🔍

The system replicas describe the actions and events that occur in each episode. These replicas are written in a specific format, using brackets to indicate actions and events.

Replica Format

{system} : [The episode opens with a bubble transition, and we see a coral reef under the sea. The camera zooms to initiate parallax scrolling, which reveals the city of Bikini Bottom. It continues zooming to show a brown rock, a Moai head, and a pineapple, which each contain inhabitants.]

Sample Data 💬

Speaker	Replica	EP_ID
Spongebob	I just met this girl. She wears a hat full of... air.	s1e3_22
Patrick	Do you mean she puts on "airs"?	s1e3_23
Spongebob	I guess so.	s1e3_24
Patrick	That's just fancy talk. If you wanna be fancy, hold your pinky up like this. The higher you hold it, the fancier you are.	s1e3_25

📊 Interactions with Dataset

Using Pandas to filter rows

1. To find all rows with a specific ep_id, you can use the following code:

import pandas as pd
#Read the CSV file into a Pandas DataFrame
df = pd.read_csv('dataset.csv')
#Define the ep_id you want to filter by
ep_id = 's1e2'
#Filter the DataFrame to get rows with an ep_id that starts with the defined ep_id
filtered_df = df[df['ep_id'].str.startswith(ep_id)]
#Print the filtered DataFrame
print(filtered_df)

2. To find rows where a specific character says a specific word or phrase, you can use the following code:

#Filter the DataFrame to get rows where a specific character says a specific word or phrase
speaker = 'SpongeBob'
word_or_phrase = 'jellyfish'
filtered_df = df[df['speaker'] == speaker]
filtered_df = filtered_df[filtered_df['replica'].str.contains(word_or_phrase)]
#Print the filtered DataFrame
print(filtered_df)

You can replace SpongeBob and jellyfish with any other speaker and word/phrase that you want to filter by.

Data Sources 📝

The transcripts were sourced Encyclopedia SpongeBobia.

Potential Uses 🧐

This Dataset could be used for a variety of natural language processing (NLP) tasks, including dialogue generation. It could also be used for educational purposes, such as studying the language and communication styles of different characters.