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README.md
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---
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dataset_info:
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features:
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- name: timestamp
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dtype: large_string
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- name: tweet
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dtype: large_string
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- name: language
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dtype: string
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- name: total_tokens
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dtype: int64
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- name: sentiment_class
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list:
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- name: label
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dtype: string
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- name: score
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dtype: float64
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- name: sentiment_label
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dtype: string
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- name: sentiment_score
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dtype: float64
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- name: confidence_level
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dtype: string
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- name: year
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dtype: string
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splits:
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- name: train
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num_bytes: 6772592588.26901
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num_examples: 22033090
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download_size: 3584763878
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dataset_size: 6772592588.26901
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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language:
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- en
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tags:
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- Blockchain,
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- DLT
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- Cryptocurrencies
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- Bitcoin
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- Ethereum
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- Crypto
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pretty_name: Distributed Ledger Technology (DLT) / Blockchain Tweets
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size_categories:
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- 10M<n<100M
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---
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# DLT-Tweets
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## Dataset Description
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@@ -203,9 +203,13 @@ For more information on CC-BY-NC 4.0, see: https://creativecommons.org/licenses/
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### Citation Information
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```bibtex
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@
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}
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```
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---
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dataset_info:
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features:
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- name: timestamp
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dtype: large_string
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- name: tweet
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dtype: large_string
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- name: language
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dtype: string
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- name: total_tokens
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dtype: int64
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- name: sentiment_class
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list:
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- name: label
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dtype: string
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- name: score
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dtype: float64
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- name: sentiment_label
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dtype: string
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- name: sentiment_score
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dtype: float64
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- name: confidence_level
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dtype: string
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- name: year
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dtype: string
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splits:
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- name: train
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num_bytes: 6772592588.26901
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+
num_examples: 22033090
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| 30 |
+
download_size: 3584763878
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+
dataset_size: 6772592588.26901
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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language:
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- en
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tags:
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- Blockchain,
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- DLT
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- Cryptocurrencies
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- Bitcoin
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- Ethereum
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- Crypto
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pretty_name: Distributed Ledger Technology (DLT) / Blockchain Tweets
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size_categories:
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- 10M<n<100M
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---
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# DLT-Tweets
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## Dataset Description
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### Citation Information
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```bibtex
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@misc{hernandez2026dlt-corpus,
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title={DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain},
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author={Walter Hernandez Cruz and Peter Devine and Nikhil Vadgama and Paolo Tasca and Jiahua Xu},
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year={2026},
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eprint={2602.22045},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2602.22045},
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}
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```
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