diff --git a/.gitattributes b/.gitattributes index 9a61d505619a59848778e690a16f58f4aeaa3499..ddf8d30bff8ddc66918c9b3c138f9637853c51c3 100644 --- a/.gitattributes +++ b/.gitattributes @@ -63,3 +63,5 @@ v0.1/metadata/windows_val.csv filter=lfs diff=lfs merge=lfs -text v0.1/metadata/windows_train.csv filter=lfs diff=lfs merge=lfs -text leaderboard/v0.1/eqt-utils_simple/report/per_window.csv filter=lfs diff=lfs merge=lfs -text leaderboard/v0.1/eqt-utils_simple/report/location_errors.csv filter=lfs diff=lfs merge=lfs -text +v0.2/metadata/windows_test.csv filter=lfs diff=lfs merge=lfs -text +v0.2/metadata/windows_val.csv filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md index 2575fabaf39386b8a330781bf244d10cf25f0ac7..0ef81d8f328c46c237a479ab2fcc3f67f358cf92 100644 --- a/README.md +++ b/README.md @@ -12,31 +12,31 @@ configs: - config_name: windows default: true data_files: - - {split: train, path: "v0.1/train/windows/*.parquet"} - - {split: validation, path: "v0.1/val/windows/*.parquet"} - - {split: test, path: "v0.1/test/windows/*.parquet"} + - {split: train, path: "v0.2/train/windows/*.parquet"} + - {split: validation, path: "v0.2/val/windows/*.parquet"} + - {split: test, path: "v0.2/test/windows/*.parquet"} - config_name: events data_files: - - {split: train, path: "v0.1/train/events/*.parquet"} - - {split: validation, path: "v0.1/val/events/*.parquet"} - - {split: test, path: "v0.1/test/events/*.parquet"} + - {split: train, path: "v0.2/train/events/*.parquet"} + - {split: validation, path: "v0.2/val/events/*.parquet"} + - {split: test, path: "v0.2/test/events/*.parquet"} - config_name: stations - data_files: "v0.1/stations.parquet" + data_files: "v0.2/stations.parquet" - config_name: window_stations data_files: - - {split: train, path: "v0.1/train/window_stations/*.parquet"} - - {split: validation, path: "v0.1/val/window_stations/*.parquet"} - - {split: test, path: "v0.1/test/window_stations/*.parquet"} + - {split: train, path: "v0.2/train/window_stations/*.parquet"} + - {split: validation, path: "v0.2/val/window_stations/*.parquet"} + - {split: test, path: "v0.2/test/window_stations/*.parquet"} - config_name: picks data_files: - - {split: train, path: "v0.1/train/picks/*.parquet"} - - {split: validation, path: "v0.1/val/picks/*.parquet"} - - {split: test, path: "v0.1/test/picks/*.parquet"} + - {split: train, path: "v0.2/train/picks/*.parquet"} + - {split: validation, path: "v0.2/val/picks/*.parquet"} + - {split: test, path: "v0.2/test/picks/*.parquet"} --- # BEPAD — Benchmark Earthquake Phase Association Dataset -[![PyPI](https://img.shields.io/pypi/v/bepad?color=orange&label=PyPI&style=for-the-badge&logo=pypi&logoColor=white)](https://pypi.org/project/bepad/) [![Data v0.1](https://img.shields.io/badge/Data-v0.1-yellow?style=for-the-badge)](https://huggingface.co/datasets/ecastillot/BEPAD/tree/main/v0.1) [![Read the Docs](https://img.shields.io/badge/Docs-Read%20the%20Docs-blue?style=for-the-badge&logo=read-the-docs)](https://bepad.readthedocs.io/en/latest/) [![GitHub](https://img.shields.io/badge/GitHub-BEPAD-black?style=for-the-badge&logo=github)](https://github.com/ecastillot/BEPAD) +[![PyPI](https://img.shields.io/pypi/v/bepad?color=orange&label=PyPI&style=for-the-badge&logo=pypi&logoColor=white)](https://pypi.org/project/bepad/) [![Data v0.2](https://img.shields.io/badge/Data-v0.2-yellow?style=for-the-badge)](https://huggingface.co/datasets/ecastillot/BEPAD/tree/main/v0.2) [![Read the Docs](https://img.shields.io/badge/Docs-Read%20the%20Docs-blue?style=for-the-badge&logo=read-the-docs)](https://bepad.readthedocs.io/en/latest/) [![GitHub](https://img.shields.io/badge/GitHub-BEPAD-black?style=for-the-badge&logo=github)](https://github.com/ecastillot/BEPAD) Thousands of phase-association problems built from **real earthquakes and real picks** of [UTDQuake](https://huggingface.co/datasets/ecastillot/UTDQuake). Each **window** holds several @@ -48,7 +48,7 @@ answer (earthquake) for every pick. *One window (Texas network): (a) earthquakes and stations, (b) every pick at its distance from its earthquake, (c) picks by type. The associator's job is to find which picks belong together.* -**v0.1** is built from UTDQuake 1.0 (Hugging Face commit `8524c6f0`): every seismic network, named by +**v0.2** (current) is built from UTDQuake 1.0 (Hugging Face commit `8524c6f0`): every seismic network, named by its UTDQuake code (`tx`, `CM`, `R08` ...). A station is `NET.STA` (FDSN network and station code). ## Quick start @@ -65,33 +65,35 @@ Without the package: ```python import pandas as pd -picks = pd.read_parquet("hf://datasets/ecastillot/BEPAD/v0.1/test/picks/network=tx.parquet") +picks = pd.read_parquet("hf://datasets/ecastillot/BEPAD/v0.2/test/picks/network=tx.parquet") ``` ## Content | Folder | What | |---|---| -| `v0.1//windows` | one row per window: network, scenario, counts, difficulty, seed | -| `v0.1//events` | the earthquakes of each window (origin, location, magnitude, scorable) | -| `v0.1/stations.parquet` | station coordinates; `station` = `NET.STA`, `network` = UTDQuake network | -| `v0.1//window_stations` | the stations available in each window (`window_id`, `station`); coordinates in `stations.parquet` | -| `v0.1//picks` | one row per pick: station, phase, time; labels `event_idx` (−1 noise), `pick_type` (real / generated / noise), `real`, `prob` (optional confidence for training, from detectability) | -| `v0.1/metadata/` | window statistics as CSV | -| `v0.1/label_model.json` | predicted arrivals, timing uncertainty and `prob` model | +| `v0.2//windows` | one row per window: network, scenario (which earthquakes, how many, noise), counts, difficulty, seed | +| `v0.2//events` | the earthquakes of each window (origin, location, magnitude, sequence and role) | +| `v0.2/stations.parquet` | station coordinates; `station` = `NET.STA`, `network` = UTDQuake network | +| `v0.2//window_stations` | the stations available in each window (`window_id`, `station`); coordinates in `stations.parquet` | +| `v0.2//picks` | one row per pick: station, phase, time; labels `event_idx` (−1 noise), `pick_type` (real / generated / noise), `real`, `prob` (optional confidence for training, from detectability) | +| `v0.2/metadata/` | window statistics as CSV | +| `v0.2/label_model.json` | predicted arrivals, timing uncertainty and `prob` model | +| `v0.1/` | the previous release (23 scenarios, no sequences), same layout | | `pool/` | the quality-controlled earthquakes and picks (for generating new training windows) | | `associators//` | contributed associators (code + parameters), runnable with `bepad run` | | `leaderboard/` | submitted results (scores + predictions) and the tables in `leaderboard/README.md` | -Per network and scenario: 1,000 train, 200 val and 100 test windows; 23 scenarios (1–20 earthquakes -per window × 5 noise levels, plus earthquakes outside the network). Every earthquake in a window has +Per network and scenario: 600 train, 120 val and 60 test windows; 38 scenarios: which earthquakes +(at random, a **sequence** of aftershocks and foreshocks, or outside the network) × how many (1–20) +× how much noise ([Scenarios](https://bepad.readthedocs.io/en/latest/scenarios.html)). Every earthquake in a window has ≥ 4 real P picks on ≥ 3 stations inside it. | Split | Windows | Networks | |---|---|---| -| train | 2,068,000 | 90 | -| val | 412,800 | 90 | -| test | 208,900 | 91 | +| train | 2,050,470 | 90 | +| val | 408,876 | 90 | +| test | 207,197 | 91 | Networks with fewer than 200 earthquakes are test only (ESPOO, `R06`). diff --git a/leaderboard/README.md b/leaderboard/README.md index 92333a9e70da0c38575ba0ac32545e2f5f2afecf..a68c11c03da3d1628fed9dcf85715edb13b961c9 100644 --- a/leaderboard/README.md +++ b/leaderboard/README.md @@ -2,6 +2,564 @@ Ranked by event F1 on the test split; the core and all-networks tables average the networks (each network weighs the same). *Partial* runs (not every window of the networks) are listed but not ranked. Location errors are medians over the matched earthquakes, against the catalog; – = the method does not locate. Submit with `bepad submit` (see the documentation). +## v0.2 · BEPAD-10 test (R05, R07, R01, nc, tx, JMA, CM, R09, ak, NOA) + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.514 | 0.278 | 0.005 | 0.644 | 0.467 | 119.0 | 29.1 | 0.16 | 22680 | 10/10 | + +## v0.2 · All networks + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.550 | 0.283 | 0.020 | 0.431 | 0.592 | 518.6 | 13.0 | 0.16 | 207197 | 91/91 | + +## v0.2 · AEIC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.594 | 0.192 | 0.002 | 0.583 | 0.956 | 437.3 | 10.1 | 0.16 | 2280 | 1/1 | + +## v0.2 · AFAD + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.645 | 0.322 | 0.006 | 0.469 | 0.660 | 160.2 | 2.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · ANF + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.681 | 0.274 | 0.006 | 0.480 | 0.840 | 213.0 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · ATH + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.562 | 0.340 | 0.007 | 0.335 | 0.815 | 134.8 | 8.7 | 0.16 | 2280 | 1/1 | + +## v0.2 · AUST + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.368 | 0.195 | 0.049 | 0.187 | 0.675 | 544.3 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · BEO + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.641 | 0.288 | 0.008 | 0.453 | 0.874 | 170.8 | 4.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · BER + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.558 | 0.317 | 0.040 | 0.218 | 0.510 | 404.1 | 5.0 | 0.16 | 2278 | 1/1 | + +## v0.2 · BGS + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.617 | 0.287 | 0.018 | 0.386 | 0.554 | 150.6 | 2.7 | 0.16 | 2278 | 1/1 | + +## v0.2 · BUC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.603 | 0.302 | 0.009 | 0.419 | 0.709 | 97.8 | 10.9 | 0.16 | 2280 | 1/1 | + +## v0.2 · BYKL + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.448 | 0.188 | 0.023 | 0.322 | 0.927 | 274.2 | 6.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · CATAC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.650 | 0.362 | 0.006 | 0.453 | 0.704 | 158.4 | 17.1 | 0.16 | 2280 | 1/1 | + +## v0.2 · CM + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.666 | 0.301 | 0.015 | 0.389 | 0.646 | 192.4 | 122.6 | 0.16 | 2280 | 1/1 | + +## v0.2 · CNRM + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.657 | 0.304 | 0.024 | 0.358 | 0.638 | 190.3 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · DJA + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.570 | 0.304 | 0.018 | 0.324 | 0.802 | 324.2 | 13.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · EAF + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.539 | 0.256 | 0.070 | 0.159 | 0.319 | 409.2 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · ECX + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.673 | 0.308 | 0.008 | 0.520 | 0.659 | 88.6 | 1.7 | 0.16 | 2280 | 1/1 | + +## v0.2 · EST + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.616 | 0.228 | 0.014 | 0.365 | 0.496 | 167.4 | 5.0 | 0.16 | 2279 | 1/1 | + +## v0.2 · ETH + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.493 | 0.256 | 0.002 | 0.712 | 0.225 | 61.4 | 2.2 | 0.16 | 2280 | 1/1 | + +## v0.2 · FUNV + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.579 | 0.286 | 0.036 | 0.265 | 0.497 | 289.2 | 3.4 | 0.16 | 2277 | 1/1 | + +## v0.2 · GCG + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.620 | 0.357 | 0.015 | 0.357 | 0.530 | 121.8 | 20.0 | 0.16 | 2279 | 1/1 | + +## v0.2 · GEOFON + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.183 | 0.123 | 0.037 | 0.161 | 0.746 | 6541.5 | 21.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · GII + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.665 | 0.339 | 0.004 | 0.513 | 0.617 | 106.0 | 4.9 | 0.16 | 2280 | 1/1 | + +## v0.2 · HEL + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.649 | 0.318 | 0.013 | 0.362 | 0.748 | 217.9 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · IDC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.128 | 0.097 | 0.126 | 0.053 | 0.303 | 5255.2 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · IGQ + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.529 | 0.294 | 0.011 | 0.353 | 0.852 | 251.4 | 5.0 | 0.16 | 2279 | 1/1 | + +## v0.2 · INET + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.643 | 0.317 | 0.008 | 0.477 | 0.318 | 109.8 | 6.7 | 0.16 | 2279 | 1/1 | + +## v0.2 · INMG + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.602 | 0.279 | 0.009 | 0.412 | 0.839 | 198.0 | 8.2 | 0.16 | 2280 | 1/1 | + +## v0.2 · IPGP + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.626 | 0.357 | 0.005 | 0.518 | 0.357 | 135.4 | 10.8 | 0.16 | 2280 | 1/1 | + +## v0.2 · ISC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.170 | 0.144 | 0.049 | 0.130 | 0.671 | 2373.5 | 25.1 | 0.16 | 2280 | 1/1 | + +## v0.2 · ISK + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.613 | 0.294 | 0.019 | 0.412 | 0.636 | 174.5 | 3.5 | 0.16 | 2280 | 1/1 | + +## v0.2 · ISN + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.576 | 0.319 | 0.091 | 0.184 | 0.429 | 197.8 | 9.8 | 0.16 | 2280 | 1/1 | + +## v0.2 · JMA + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.632 | 0.312 | 0.002 | 0.622 | 0.518 | 225.3 | 19.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · JSN + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.653 | 0.295 | 0.014 | 0.463 | 0.303 | 82.1 | 9.9 | 0.16 | 2280 | 1/1 | + +## v0.2 · KMA + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.642 | 0.339 | 0.010 | 0.423 | 0.478 | 116.7 | 5.3 | 0.16 | 2280 | 1/1 | + +## v0.2 · KNET + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.689 | 0.312 | 0.010 | 0.447 | 0.601 | 108.1 | 6.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · KRNET + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.549 | 0.273 | 0.024 | 0.320 | 0.786 | 233.2 | 14.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · KRSC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.538 | 0.309 | 0.022 | 0.320 | 0.889 | 236.8 | 41.5 | 0.16 | 2280 | 1/1 | + +## v0.2 · KRSZO + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.647 | 0.281 | 0.007 | 0.418 | 0.533 | 150.3 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · LDG + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.610 | 0.319 | 0.003 | 0.438 | 0.853 | 161.5 | 3.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · MDD + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.556 | 0.272 | 0.008 | 0.378 | 0.737 | 345.6 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · MEX + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.610 | 0.310 | 0.028 | 0.323 | 0.696 | 244.9 | 12.9 | 0.16 | 2280 | 1/1 | + +## v0.2 · MRB + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.669 | 0.315 | 0.002 | 0.537 | 0.772 | 83.2 | 3.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · NIC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.658 | 0.332 | 0.010 | 0.411 | 0.464 | 73.1 | 15.9 | 0.16 | 2278 | 1/1 | + +## v0.2 · NNC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.459 | 0.334 | 0.128 | 0.066 | 0.118 | 484.5 | 5.0 | 0.16 | 2220 | 1/1 | + +## v0.2 · NOA + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.660 | 0.290 | 0.001 | 0.650 | 0.798 | 169.7 | 8.5 | 0.16 | 2280 | 1/1 | + +## v0.2 · NOU + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.572 | 0.329 | 0.049 | 0.172 | 0.248 | 404.5 | 7.0 | 0.16 | 2279 | 1/1 | + +## v0.2 · OSPL + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.680 | 0.315 | 0.010 | 0.423 | 0.655 | 169.2 | 10.2 | 0.16 | 2280 | 1/1 | + +## v0.2 · OTT + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.486 | 0.252 | 0.020 | 0.285 | 0.736 | 385.4 | 5.0 | 0.16 | 2279 | 1/1 | + +## v0.2 · PDG + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.675 | 0.302 | 0.004 | 0.501 | 0.812 | 92.1 | 7.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · PRE + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.644 | 0.291 | 0.042 | 0.288 | 0.460 | 262.4 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · R01 + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.260 | 0.176 | 0.000 | 0.887 | 0.043 | 11.6 | 1.8 | 0.16 | 2280 | 1/1 | + +## v0.2 · R02 + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.487 | 0.205 | 0.000 | 0.825 | 0.610 | 27.1 | 1.5 | 0.16 | 2280 | 1/1 | + +## v0.2 · R03 + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.682 | 0.300 | 0.001 | 0.664 | 0.874 | 64.7 | 1.8 | 0.16 | 2280 | 1/1 | + +## v0.2 · R04 + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.396 | 0.233 | 0.000 | 0.827 | 0.287 | 17.1 | 3.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · R05 + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.217 | 0.111 | 0.000 | 0.951 | 0.000 | 1.5 | 2.5 | 0.16 | 2160 | 1/1 | + +## v0.2 · R06 + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.321 | 0.175 | 0.000 | 0.877 | 0.219 | 6.8 | 0.5 | 0.16 | 2220 | 1/1 | + +## v0.2 · R07 + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.350 | 0.344 | 0.000 | 0.851 | 0.304 | 17.1 | 2.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · R08 + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.221 | 0.172 | 0.048 | 0.132 | 0.748 | 4312.6 | 63.1 | 0.16 | 2280 | 1/1 | + +## v0.2 · R09 + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.695 | 0.313 | 0.016 | 0.424 | 0.617 | 145.0 | 110.6 | 0.16 | 2280 | 1/1 | + +## v0.2 · RHSSO + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.656 | 0.306 | 0.006 | 0.442 | 0.762 | 133.2 | 0.9 | 0.16 | 2280 | 1/1 | + +## v0.2 · RSNC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.646 | 0.295 | 0.010 | 0.391 | 0.693 | 206.9 | 126.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · RSPR + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.635 | 0.360 | 0.012 | 0.477 | 0.532 | 61.2 | 9.4 | 0.16 | 2280 | 1/1 | + +## v0.2 · SJA + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.557 | 0.285 | 0.021 | 0.319 | 0.840 | 303.6 | 104.7 | 0.16 | 2280 | 1/1 | + +## v0.2 · TAP + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.567 | 0.345 | 0.004 | 0.405 | 0.734 | 88.8 | 9.2 | 0.16 | 2280 | 1/1 | + +## v0.2 · THE + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.383 | 0.357 | 0.032 | 0.143 | 0.720 | 121.0 | 2.9 | 0.16 | 2280 | 1/1 | + +## v0.2 · TIR + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.634 | 0.309 | 0.013 | 0.393 | 0.737 | 155.3 | 6.7 | 0.16 | 2279 | 1/1 | + +## v0.2 · TUN + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.583 | 0.285 | 0.086 | 0.244 | 0.202 | 104.8 | 5.0 | 0.16 | 2269 | 1/1 | + +## v0.2 · UCC + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.618 | 0.303 | 0.006 | 0.526 | 0.429 | 59.5 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · UCR + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.570 | 0.369 | 0.017 | 0.312 | 0.738 | 147.0 | 13.4 | 0.16 | 2280 | 1/1 | + +## v0.2 · UPA + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.675 | 0.345 | 0.006 | 0.487 | 0.546 | 105.6 | 10.7 | 0.16 | 2280 | 1/1 | + +## v0.2 · UPP + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.686 | 0.271 | 0.008 | 0.497 | 0.729 | 110.8 | 4.9 | 0.16 | 2280 | 1/1 | + +## v0.2 · USP + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.188 | 0.109 | 0.124 | 0.081 | 0.471 | 3491.9 | 21.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · VAO + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.458 | 0.244 | 0.073 | 0.135 | 0.502 | 505.6 | 5.0 | 0.16 | 2272 | 1/1 | + +## v0.2 · VIE + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.673 | 0.329 | 0.025 | 0.409 | 0.490 | 129.7 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · ZUR + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.628 | 0.352 | 0.003 | 0.458 | 0.473 | 84.0 | 2.3 | 0.16 | 2279 | 1/1 | + +## v0.2 · admin + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.300 | 0.299 | 0.061 | 0.105 | 0.562 | 1505.5 | 5.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · ak + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.531 | 0.320 | 0.015 | 0.299 | 0.714 | 237.7 | 19.3 | 0.16 | 2280 | 1/1 | + +## v0.2 · at + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.151 | 0.109 | 0.013 | 0.363 | 0.934 | 6016.2 | 11.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · av + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.576 | 0.296 | 0.003 | 0.569 | 0.297 | 247.4 | 2.6 | 0.16 | 2280 | 1/1 | + +## v0.2 · hv + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.523 | 0.267 | 0.000 | 0.770 | 0.603 | 35.1 | 24.1 | 0.16 | 2280 | 1/1 | + +## v0.2 · mb + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.644 | 0.279 | 0.006 | 0.542 | 0.675 | 150.3 | 2.9 | 0.16 | 2279 | 1/1 | + +## v0.2 · nc + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.468 | 0.273 | 0.000 | 0.739 | 0.267 | 100.9 | 2.8 | 0.16 | 2280 | 1/1 | + +## v0.2 · nm + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.626 | 0.347 | 0.002 | 0.526 | 0.607 | 89.4 | 3.2 | 0.16 | 2279 | 1/1 | + +## v0.2 · nn + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.672 | 0.312 | 0.001 | 0.632 | 0.729 | 154.8 | 2.7 | 0.16 | 2280 | 1/1 | + +## v0.2 · ok + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.640 | 0.309 | 0.001 | 0.630 | 0.567 | 90.6 | 1.6 | 0.16 | 2280 | 1/1 | + +## v0.2 · pr + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.670 | 0.360 | 0.005 | 0.475 | 0.607 | 97.3 | 11.0 | 0.16 | 2280 | 1/1 | + +## v0.2 · se + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.672 | 0.295 | 0.005 | 0.515 | 0.635 | 150.8 | 5.0 | 0.16 | 2275 | 1/1 | + +## v0.2 · tx + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.660 | 0.335 | 0.001 | 0.627 | 0.764 | 89.0 | 1.8 | 0.16 | 2280 | 1/1 | + +## v0.2 · us + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.222 | 0.174 | 0.049 | 0.130 | 0.736 | 3381.5 | 15.2 | 0.16 | 2280 | 1/1 | + +## v0.2 · uu + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.552 | 0.265 | 0.001 | 0.708 | 0.432 | 142.2 | 2.9 | 0.16 | 2280 | 1/1 | + +## v0.2 · uw + +| # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | +|---|---|---|---|---|---|---|---|---|---|---|---|---|---| +| 1 | [eqt-utils_simple 0.1](https://github.com/smousavi05/EQTransformer) | classical | none | 0.578 | 0.320 | 0.001 | 0.651 | 0.438 | 110.8 | 5.2 | 0.16 | 2280 | 1/1 | + ## v0.1 · BEPAD-10 test (R05, R07, R01, nc, tx, JMA, CM, R09, ak, NOA) | # | Method | Type | Training | Event F1 | Pick F1 | Noise rej. | Merge | Split | Epicentre err. (km) | Depth err. (km) | s/window | Windows | Networks | diff --git a/leaderboard/leaderboard.csv b/leaderboard/leaderboard.csv index a96b0271e1463b7920dc540aea14d6c577bc5613..182fdd4ec905c1cc08b37f33c2cffc0f8462cfbb 100644 --- a/leaderboard/leaderboard.csv +++ b/leaderboard/leaderboard.csv @@ -90,3 +90,94 @@ v0.1,eqt-utils_simple,0.1,classical,none,True,0.148,,https://github.com/smousavi v0.1,eqt-utils_simple,0.1,classical,none,True,0.148,,https://github.com/smousavi05/EQTransformer,2026-11-02,us,2300.0,0.225984,0.206819,0.059752,0.129438,0.889274,0.116435,0.74883,3203.49684,14.807,56.259 v0.1,eqt-utils_simple,0.1,classical,none,True,0.148,,https://github.com/smousavi05/EQTransformer,2026-11-02,uu,2300.0,0.580874,0.29607,0.001023,0.883642,0.432636,0.678106,0.385663,218.455436,2.84,3.876024 v0.1,eqt-utils_simple,0.1,classical,none,True,0.148,,https://github.com/smousavi05/EQTransformer,2026-11-02,uw,2300.0,0.612805,0.349391,0.000939,0.837409,0.483203,0.635757,0.420779,132.729323,4.94,3.815972 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,AEIC,2280.0,0.59413,0.191752,0.001722,0.437866,0.923815,0.582565,0.95624,437.251465,10.1,27.298758 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,AFAD,2280.0,0.644943,0.322396,0.005902,0.633275,0.657049,0.46911,0.659781,160.172379,2.0,6.799049 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,ANF,2280.0,0.680789,0.273815,0.006182,0.604655,0.778856,0.480197,0.84039,213.032426,5.0,13.394951 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,ATH,2280.0,0.561787,0.339624,0.007312,0.442921,0.767857,0.335018,0.815458,134.762739,8.7,7.11 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,AUST,2280.0,0.36846,0.194501,0.049268,0.231294,0.905385,0.18692,0.675332,544.338209,4.9986,26.799632 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,BEO,2280.0,0.640839,0.287908,0.007792,0.535576,0.797601,0.452951,0.873501,170.783833,4.0,13.801404 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,BER,2278.0,0.557747,0.31667,0.039856,0.417082,0.841579,0.218052,0.509786,404.138117,5.0,15.89588 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,BGS,2278.0,0.61676,0.287125,0.017934,0.596288,0.638687,0.385968,0.554475,150.570964,2.7,9.352181 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,BUC,2280.0,0.602923,0.30213,0.009082,0.555832,0.658732,0.4192,0.709123,97.83853,10.9,4.996029 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,BYKL,2280.0,0.448348,0.18844,0.023445,0.291249,0.973401,0.322161,0.926907,274.161608,6.0,22.0 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,CATAC,2280.0,0.649771,0.361509,0.005518,0.622612,0.679407,0.452994,0.704039,158.439033,17.0774,11.33 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,CM,2280.0,0.66615,0.301304,0.01481,0.573758,0.794007,0.388793,0.646038,192.385825,122.64,18.673849 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,CNRM,2280.0,0.65731,0.304246,0.024294,0.563966,0.787683,0.358147,0.638318,190.341301,5.0,19.454502 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,DJA,2280.0,0.57042,0.303594,0.018061,0.434544,0.829927,0.324207,0.801718,324.237315,13.0,15.589491 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,EAF,2280.0,0.539016,0.255689,0.069698,0.430791,0.719861,0.159266,0.318836,409.19638,5.0,48.358637 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,ECX,2280.0,0.673325,0.308321,0.00841,0.727661,0.62654,0.520394,0.659012,88.636498,1.7,5.85 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,EST,2279.0,0.615775,0.228459,0.013639,0.58676,0.647809,0.364516,0.496348,167.399962,5.0,17.395132 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,ETH,2280.0,0.492564,0.255755,0.001507,0.90162,0.338837,0.711867,0.224794,61.405934,2.22168,3.131164 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,FUNV,2277.0,0.57919,0.285791,0.036164,0.463108,0.772932,0.265484,0.496869,289.247615,3.4,22.02 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,GCG,2279.0,0.619977,0.357177,0.014506,0.571804,0.677013,0.357061,0.529784,121.835999,20.0,10.339856 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,GEOFON,2280.0,0.183069,0.123363,0.037246,0.10252,0.854245,0.160626,0.745777,6541.497613,21.0,441.29 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,GII,2280.0,0.665489,0.33881,0.003704,0.722976,0.616471,0.513304,0.617071,106.029448,4.943,8.461791 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,HEL,2280.0,0.648505,0.31798,0.01345,0.532433,0.829293,0.362085,0.748043,217.941197,5.0,14.48 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,IDC,2280.0,0.127837,0.097252,0.126061,0.076186,0.396967,0.053247,0.302572,5255.215043,5.0,448.107463 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,IGQ,2279.0,0.528552,0.29414,0.011055,0.395149,0.797935,0.353111,0.851746,251.415377,5.0,28.55 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,INET,2279.0,0.64266,0.317424,0.007611,0.772531,0.55017,0.476929,0.317892,109.758457,6.7,8.16 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,INMG,2280.0,0.601981,0.279271,0.008905,0.454953,0.889413,0.411644,0.839051,198.025217,8.2,10.961126 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,IPGP,2280.0,0.626103,0.357009,0.004519,0.783448,0.521389,0.518319,0.357135,135.3661,10.827942,6.529273 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,ISC,2280.0,0.169521,0.144423,0.049305,0.094737,0.804915,0.1304,0.671218,2373.516906,25.1039,45.893835 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,ISK,2280.0,0.612576,0.294178,0.019228,0.61306,0.612093,0.412428,0.636018,174.515544,3.5,10.433899 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,ISN,2280.0,0.575724,0.319444,0.090931,0.439999,0.832532,0.184233,0.428993,197.833038,9.8,23.351419 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,JMA,2280.0,0.632399,0.31181,0.002174,0.824612,0.512855,0.621751,0.51752,225.284811,19.0,5.604651 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,JSN,2280.0,0.652877,0.294903,0.014165,0.734825,0.587372,0.46293,0.303295,82.121581,9.9,4.82 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,KMA,2280.0,0.641897,0.339082,0.010247,0.667316,0.618344,0.423459,0.478411,116.679194,5.3,7.49 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,KNET,2280.0,0.688996,0.3121,0.009821,0.665888,0.713765,0.447395,0.60148,108.07562,6.0,8.806631 +v0.2,eqt-utils_simple,0.1,classical,none,True,0.1601,,https://github.com/smousavi05/EQTransformer,2026-11-09,KRNET,2280.0,0.54911,0.272949,0.023757,0.406141,0.847413,0.319959,0.785745,233.248343,14.0,24.897073 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