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improve readme

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  ---
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  license: apache-2.0
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- pretty_name: research-papers
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  tags:
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  - wordlist
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  - crackstation
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  - password
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  - dictionary
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- - cracking
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  language:
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  - en
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  annotations_creators: []
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  source_datasets: []
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  task_categories:
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- - text2text-generation
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  - text-generation
 
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  - sentence-similarity
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  - fill-mask
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  - feature-extraction
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  - token-classification
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  ---
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- # crackstation-wordlist [TXT dataset]
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  ## Overview
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- This dataset is a curated collection of [CrackStation's Password Cracking Dictionary](https://crackstation.net/crackstation-wordlist-password-cracking-dictionary.htm).
 
 
 
 
 
 
 
 
 
 
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- It includes every wordlist, dictionary, and password database leak available online, along with every word from the Wikipedia databases (pages-articles, retrieved 2010, all languages) and numerous books from Project Gutenberg. Additionally, it contains passwords from some lesser-known database breaches that circulated in the underground years ago.
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- The dataset is provided as a standard text file, sorted in non-case-sensitive alphabetical order, with lines separated by newline (`\n`) characters.
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- You can test the list without downloading it by submitting SHA256 hashes to the [free hash cracker](https://crackstation.net). To compute hashes easily, you can use this [online tool](https://defuse.ca/checksums.htm). For reference, here are the results of cracking the password hash leaks from [LinkedIn](https://defuse.ca/blog/cracking-linkedin-hashes-with-crackstation) and [eHarmony](https://defuse.ca/blog/cracking-eharmonys-unsalted-hashes-with-crackstation) using this list.
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  ## Source
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- [CrackStation's Password Cracking Dictionary](https://crackstation.net/crackstation-wordlist-password-cracking-dictionary.htm)
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  ## Citation
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- If you use this dataset in your research, please cite the original source following their citation guidelines. You may also reference this repository as the source of the curated collection.
 
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  ---
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  license: apache-2.0
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+ pretty_name: CrackStation Password List
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  tags:
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  - wordlist
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  - crackstation
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  - password
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  - dictionary
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+ - password-cracking
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  language:
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  - en
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  annotations_creators: []
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  source_datasets: []
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  task_categories:
 
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  - text-generation
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+ - text2text-generation
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  - sentence-similarity
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  - fill-mask
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  - feature-extraction
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  - token-classification
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  ---
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+ # CrackStation-password-list
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  ## Overview
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+ This dataset is based on the comprehensive [CrackStation Password Cracking Dictionary](https://crackstation.net/crackstation-wordlist-password-cracking-dictionary.htm), a widely recognized resource in password security research.
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+
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+ ### Key Features
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+
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+ - **Comprehensive Collection**: Aggregates publicly available wordlists, password leaks, and dictionaries from various sources.
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+ - **Diverse Origins**: Includes entries from Wikipedia dumps (2010, all languages), texts from [Project Gutenberg](https://www.gutenberg.org), and lesser-known database breaches shared in underground communities.
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+ - **Optimized Format**: The data is stored as plain text, alphabetically sorted without case sensitivity, and uses newline (`\n`) as the delimiter.
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+
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+ ### Usage
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+ - Test hashes with this dataset via the [CrackStation hash cracker](https://crackstation.net).
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+ - Generate and verify hash values using tools like [Defuse Checksum](https://defuse.ca/checksums.htm).
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+ The dataset has proven highly effective in cracking real-world password leaks such as [LinkedIn](https://defuse.ca/blog/cracking-linkedin-hashes-with-crackstation) and [eHarmony](https://defuse.ca/blog/cracking-eharmonys-unsalted-hashes-with-crackstation), highlighting its utility in password analysis and research.
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+ ## Licensing and Sharing
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+ This dataset is shared under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). Redistribution and modifications are allowed with proper attribution. Ensure ethical usage and comply with local laws.
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  ## Source
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+ - [CrackStation's Password Cracking Dictionary](https://crackstation.net/crackstation-wordlist-password-cracking-dictionary.htm)
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  ## Citation
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+ If you use this dataset in your research, cite CrackStation as the original source and include a link to this Hugging Face repository for transparency.