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