license: cc-by-sa-4.0
task_categories:
- text-generation
- conversational
language:
- en
size_categories:
- 10K<n<100K
tags:
- cartoons
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
- 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)
- 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.