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---
license: cc-by-nc-4.0
task_categories:
- text-generation
language:
- en
tags:
- finance
- legal
pretty_name: swan - finance dataset
size_categories:
- 100K<n<1M
configs:
- config_name: default
data_files:
- split: corpus
path: "corpus.txt"
- split: corpus_deduped
path: "corpus_deduped.txt"
- split: sec_tracker
path: "all_sec_filings.csv"
- split: leaked_tracker
path: "all_leaked_pdfs.csv"
- split: fed_tracker
path: "all_fed_filings.csv"
- split: bls_jolts_tracker
path: "all_bls_jolts.csv"
- split: bls_cpi_tracker
path: "all_bls_cpi.csv"
- split: bls_ces_tracker
path: "all_bls_ces.csv"
- split: bls_historical_tracker
path: "all_bls_historical.csv"
---
<!-- header start -->
<div style="min-width:100%">
<center>
<img style="max-width:200px" src="https://huggingface.co./datasets/dylanalloy/swan/resolve/main/swan.png">
<h3>swan</h3>
<small>aggressively updated financial text dataset</small>
<a href="https://github.com/DylanAlloy/swan_scrape" target="_blank">scraping code</a>
</center>
</div>
<!-- header end -->
### usage
```python
from datasets import load_dataset
sets = ["corpus", "corpus_deduped"]
swan_data, swan_deduped = [load_dataset("dylanalloy/swan", data_files=f"{_}.txt") for _ in sets]
swan_data, swan_deduped
```
### data
<center>
| data | added |
| ----------- | ----------- |
| SEC filings | Wed. Aug 30th, 2023 |
| Federal Reserve transcripts | Wed. Aug 30th, 2023 |
| private wealth management releases | Wed. Aug 30th, 2023 |
| large bank releases | Wed. Aug 30th, 2023 |
| large fund releases | Wed. Aug 30th, 2023 |
| large trading firm releases | Wed. Aug 30th, 2023 |
| BLS JOLTS releases | Wed. Aug 30th, 2023 |
| BLS CPI releases | Wed. Aug 30th, 2023 |
| BLS CES releases | Wed. Aug 30th, 2023 |
| BLS historical reports | Wed. Aug 30th, 2023 |
</center>
### updates
<small>this repo updates daily at 6AM EST</small>
| SEC Filngs | Federal Reserve transcripts | releases & reports |
| :--- | :----: | ---: |
| 30 minutes | daily | daily |
<small>🐒 **corpus** ⌨️ updated daily</small>
### stats and delta
<center>
<img style="max-width:100%" src="https://huggingface.co./datasets/dylanalloy/swan/resolve/main/words_sizes.png">
<img style="max-width:100%" src="https://huggingface.co./datasets/dylanalloy/swan/resolve/main/vocab_sizes_time.png">
</center>
### organization
- *.csv: tracker
- corpus.txt: collated text from all documents across all categories (designed for base model training)
- corpus_deduped.txt: unique lines of corpus |