Add dataset card

README.md

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+---
+license: cc-by-4.0
+language:
+  - en
+pretty_name: Lightning Network Gossip Channel Closure Dataset
+size_categories:
+  - 100K<n<1M
+tags:
+  - lightning-network
+  - bitcoin
+  - temporal-graph
+  - link-classification
+configs:
+  - config_name: default
+    data_files:
+      - split: full
+        path: tgbl-ln_edgelist.csv
+---
+
+# Lightning Network Gossip — Channel Closure Dataset
+
+Daily snapshots of the Lightning Network (LN) collected from gossip messages
+between **2022-06-09** and **2024-10-14**. Used in the paper *Predicting
+Channel Closures in the Lightning Network with Machine Learning* (Antonelli
+et al., BCCA 2026) and consumed by the
+[ln-gossip-benchmark](https://github.com/siantonelli/ln-gossip-benchmark)
+codebase.
+
+## Schema (one row per gossip event)
+
+| Column | Description |
+|---|---|
+| `chan_id` | Lightning channel identifier (`block:tx_idx:vout`). |
+| `transaction_id`, `transaction_vout` | Funding transaction reference. |
+| `last_update` | Last gossip update timestamp (ms). |
+| `capacity` | Channel capacity (sat). |
+| `src`, `dst` | Endpoint public keys (hex). |
+| `src_*`, `dst_*` | Per-direction routing policy: time-lock delta, htlc bounds, fee base/rate, disabled flag, max-htlc, last-update timestamp. |
+| `channel_status` | `OPEN` / `CLOSED`. |
+| `closing_info` | `OPEN` / `MUTUAL` / `FORCED` / `LOCAL_CLOSED` / `PENALTY_CLOSED`. |
+| `src_alias`, `dst_alias`, `src_implementation`, `dst_implementation` | Endpoint metadata. |
+| `gossip_ts` | Event observation timestamp (ms). |
+| `ts`, `height`, `block_avg_fee_rate` | On-chain funding metadata. |
+
+## Statistics
+
+- **Events:** 693 277 (≈554k after filtering parallel channels).
+- **Unique nodes:** 36 170.
+- **Class distribution at prediction time** (over open edges):
+  open ≈83 %, mutual ≈9 %, forced ≈8 %.
+
+## Notes on the initial snapshot
+
+The first day (2022-06-09) carries the entire pre-existing LN state as a
+single batch of artificial "openings" — about 38 % of the rows. The
+benchmark's `warm_start` mode initialises from these events without using
+them for training/eval.
+
+## License
+
+Dataset is released under **CC-BY-4.0**. The underlying gossip messages are
+public by design; the data was collected with the
+[`lncrawler`](https://github.com/Amboss-Tech/lncrawler) tool.
+
+## Citation
+
+```bibtex
+@inproceedings{antonelli2026ln,
+  title  = {Predicting Channel Closures in the Lightning Network with Machine Learning},
+  author = {Antonelli, Simone and Davis, Vincent and Rush, Harrison and Potdevin, Anthony and Shrader, Jesse and Singh, Vikash and Rossi, Emanuele},
+  booktitle = {International Conference on Blockchain Computing and Applications (BCCA)},
+  year   = {2026}
+}
+```