Upload folder using huggingface_hub

.github/workflows/data.yml

@@ -0,0 +1,30 @@
+name: CI
+on:
+  push:
+    branches: [ "main" ]
+  workflow_dispatch:
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Download Data
+        run: |
+          wget --progress=dot:giga https://wufs.wustl.edu/SpaceApps/data/space_apps_2024_seismic_detection.zip
+          unzip space_apps_2024_seismic_detection
+          cp -R space_apps_2024_seismic_detection/* ../
+          pwd
+      - run: |
+          pwd
+          ls -a
+      - run: |
+          rm space_apps_2024_seismic_detection.zip
+          ls -a
+      - name: Upload Data
+        run: |
+          git config --global user.name "Mohamed Hisham Abdelzaher"
+          git config --global user.email "[email protected]"
+          git add .
+          git commit -m "init"
+          git pull -v
+          git push -v

.github/workflows/hf.yaml

@@ -0,0 +1,22 @@
+name: Upload to HuggingFace
+on:
+  push:
+    branches: [ "main" ]
+  workflow_dispatch:
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Login to HuggingFace Hub
+        uses: osbm/[email protected]
+        with:
+          username: MH0386
+          key: ${{ secrets.HF_KEY }}
+          add_to_git_credentials: true
+      - name: Enable hf_transfer
+        run: pip install huggingface_hub[hf_transfer]
+      - name: Check if logged in
+        run: huggingface-cli whoami
+      - name: Upload
+        run: huggingface-cli upload MH0386/nasa_space_apps_2024_seismic_detection . --repo-type dataset

README.md

@@ -1,27 +1,24 @@
----
-pretty_name: Seismic Detection across the Solar System
----
-# Welcome, Space Apps challengers, to “Seismic Detection across the Solar System”. 
-
-Today, we challenge YOU to parse through seismic data collected on the Moon and Mars and figure out how to detect moonquakes and marsquakes! 
-To get you started on the data, we present to you a training set containing the following:
-
-1. A catalog of quakes identified in the data
-2. Seismic data collected by the Apollo (one day segments) or InSight (one hour segments) missions in miniseed and CSV format. 
-3. Plots of the trace and spectrogram for each day a quake has been identified. 
-
-Using these tools, your task is to come up with an algorithm to identify these signals (using the catalog as a benchmark) and then 
-apply your algorithm to the seismic data in the "test" folder (Apollo 12, 15, and 16 for the Moon and other InSight events for Mars). 
-
-Each trace included in the test folder has a quake in it, there are no empty traces. 
-
-This main folder also has a Jupyter notebook that will help you get started on the data.
-
-## **IMPORTANT**
-
-Please make sure that your output catalog has at least the following headers:
-filename
-time_abs(%Y-%m-%dT%H:%M:%S.%f) or time_rel(sec)
-If not, your output catalog may not be scored!!
-
-Good luck!!! If you have any questions, our team leaders will be around to help during the hackathon weekend!
+# Welcome, Space Apps challengers, to “Seismic Detection across the Solar System”. 
+
+Today, we challenge YOU to parse through seismic data collected on the Moon and Mars and figure out how to detect moonquakes and marsquakes! 
+To get you started on the data, we present to you a training set containing the following:
+
+1. A catalog of quakes identified in the data
+2. Seismic data collected by the Apollo (one day segments) or InSight (one hour segments) missions in miniseed and CSV format. 
+3. Plots of the trace and spectrogram for each day a quake has been identified. 
+
+Using these tools, your task is to come up with an algorithm to identify these signals (using the catalog as a benchmark) and then 
+apply your algorithm to the seismic data in the "test" folder (Apollo 12, 15, and 16 for the Moon and other InSight events for Mars). 
+
+Each trace included in the test folder has a quake in it, there are no empty traces. 
+
+This main folder also has a Jupyter notebook that will help you get started on the data.
+
+## **IMPORTANT**
+
+Please make sure that your output catalog has at least the following headers:
+filename
+time_abs(%Y-%m-%dT%H:%M:%S.%f) or time_rel(sec)
+If not, your output catalog may not be scored!!
+
+Good luck!!! If you have any questions, our team leaders will be around to help during the hackathon weekend!