nielsr HF Staff commited on
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Add graph-ml task category and paper link

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Hi, I'm Niels from the Hugging Face community science team. I've updated the dataset card to include the `graph-ml` task category in the metadata to improve discoverability. I've also linked the associated research paper ("Predicting Channel Closures in the Lightning Network with Machine Learning") to its Hugging Face paper page.

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  1. README.md +17 -15
README.md CHANGED
@@ -1,27 +1,29 @@
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  ---
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- license: cc-by-4.0
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  language:
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- - en
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- pretty_name: Lightning Network Gossip Channel Closure Dataset
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  size_categories:
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- - 100K<n<1M
 
 
 
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  tags:
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- - lightning-network
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- - bitcoin
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- - temporal-graph
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- - link-classification
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  configs:
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- - config_name: default
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- data_files:
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- - split: full
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- path: tgbl-ln_edgelist.csv
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  ---
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  # Lightning Network Gossip — Channel Closure Dataset
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  Daily snapshots of the Lightning Network (LN) collected from gossip messages
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- between **2022-06-09** and **2024-10-14**. Used in the paper *Predicting
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- Channel Closures in the Lightning Network with Machine Learning* (Antonelli
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  et al., 2026, under review) and consumed by the
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  [ln-channel-closure-prediction](https://github.com/AmbossTech/ln-channel-closure-prediction)
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  codebase.
@@ -63,4 +65,4 @@ public by design.
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  ## Citation
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- A BibTeX entry will be added once the paper is published.
 
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  ---
 
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  language:
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+ - en
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+ license: cc-by-4.0
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  size_categories:
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+ - 100K<n<1M
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+ pretty_name: Lightning Network Gossip Channel Closure Dataset
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+ task_categories:
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+ - graph-ml
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  tags:
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+ - lightning-network
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+ - bitcoin
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+ - temporal-graph
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+ - link-classification
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  configs:
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+ - config_name: default
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+ data_files:
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+ - split: full
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+ path: tgbl-ln_edgelist.csv
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  ---
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  # Lightning Network Gossip — Channel Closure Dataset
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  Daily snapshots of the Lightning Network (LN) collected from gossip messages
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+ between **2022-06-09** and **2024-10-14**. Used in the paper [Predicting
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+ Channel Closures in the Lightning Network with Machine Learning](https://huggingface.co/papers/2605.12759) (Antonelli
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  et al., 2026, under review) and consumed by the
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  [ln-channel-closure-prediction](https://github.com/AmbossTech/ln-channel-closure-prediction)
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  codebase.
 
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  ## Citation
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+ A BibTeX entry will be added once the paper is published.