spamassassin / README.md
Robert Stone
rename config "raw" to "unprocessed"
a1b3371 unverified
---
license: unknown
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# Dataset Card for the SpamAssassin public mail corpus
## Dataset Description
- **Homepage:** https://spamassassin.apache.org/old/publiccorpus/readme.html
### Dataset Summary
This is a selection of mail messages, suitable for use in testing spam filtering systems assembled by members of the SpamAssassin project.
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
- The `text` config normalizes all character sets to utf8 and dumps the
MIME tree as a JSON list of lists.
- The `unprocessed` config does not parse messages at all, leaving the
full headers and content as binary.
### Data Fields
- `label`: `spam` or `ham`
- `group`: SpamAssassin has grouped these samples into categories
{'hard_ham', 'spam_2', 'spam', 'easy_ham', 'easy_ham_2'}
- `text`: normalized text of the message bodies
- `raw`: full binary headers and contents of messages
### Data Splits
Only a _train_ split has been provided.
## Dataset Creation
### Curation Rationale
It is hoped this dataset can help verify that modern NLP tools can solve
old NLP problems.
### Source Data
#### Initial Data Collection and Normalization
[The upstream corpus description](https://spamassassin.apache.org/old/publiccorpus/readme.html)
goes into detail on collection methods. The work here to recover text bodies
is largely done with [email.parser](https://docs.python.org/3/library/email.parser.html)
and [ftfy](https://pypi.org/project/ftfy/).
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed]