license:cc0-1.0 region:us
---
license: cc0-1.0
---

# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:** N/A
- **Repository:** N/A
- **Paper:** N/A
- **Leaderboard:** N/A 
- **Point of Contact:** N/A

### Dataset Summary

Text from Reddit Sydney using convokit to obtain it.

### Supported Tasks and Leaderboards

N/A

### Languages

English. Typically Australian English. Will include swearing, profanity, slang and possibly offensive material, as it is taken from Reddit and has not been filtered.

## Dataset Structure

Plain text

### Data Instances

N/A

### Data Fields

N/A

### Data Splits

N/A. You need to do splits yourself

## Dataset Creation

Using this script:

```python
from convokit import Corpus, download # https://convokit.cornell.edu/documentation/subreddit.html
corpus = Corpus(filename=download("subreddit-sydney"))
textarr = []
for utt in corpus.iter_utterances():
    if utt.text != "[deleted]":
        textarr.append(utt.text)
text = '\n'.join(textarr);
text_file = open("input.txt", "w")
n = text_file.write(text)
text_file.close()
```

### Curation Rationale

I don't know what this means.

### Source Data

Reddit's Sydney subreddit.

#### Initial Data Collection and Normalization

See script

#### Who are the source language producers?

See script

### Annotations

#### Annotation process

N/A

#### Who are the annotators?

N/A

### Personal and Sensitive Information

Most likely.

## Considerations for Using the Data

### Social Impact of Dataset

There is unfettered discussion. It is probably horrible to release a LLM trained on just this with no safety precautions.

### Discussion of Biases

This is going to be full of biases. It is raw internet discussion.

### Other Known Limitations

None

## Additional Information

None

### Dataset Curators

Not curated

### Licensing Information

Public Domain for the Python script and this representation of Reddit data. Original authors and Reddit may have some rights.

### Citation Information

None

### Contributions

N/A
