Update README.md

README.md

@@ -129,4 +129,27 @@ configs:
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 # Dataset Card for "f1_dataset"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+This dataset includes race telemetry data from the Formula1 Montreail 2023 GP. It was obtained from the Ergast API using the fastf1 library.
+
+We built an [interactive demo](https://huggingface.co/spaces/renumics/f1_montreal_gp) for this dataset on Hugging Face spaces.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63dd29ffaf221a78fa4ec8d1/VIqh7OcI0PKOqYCGp6rDZ.png)
+
+You can explore the dataset on your machine with [Spotlight](https://github.com/Renumics/spotlight):
+
+```bash
+pip install renumics-spotlight
+```
+
+```Python
+import datasets
+from renumics import spotlight
+
+ds = datasets.load_dataset('renumics/f1_dataset', split='train')
+dtypes = {"DistanceToDriverAhead": spotlight.Sequence1D, "RPM": spotlight.Sequence1D, "Speed": spotlight.Sequence1D, "nGear": spotlight.Sequence1D,
+    "Throttle": spotlight.Sequence1D, "Brake": spotlight.Sequence1D, "DRS": spotlight.Sequence1D, "X": spotlight.Sequence1D, "Y": spotlight.Sequence1D, "Z": spotlight.Sequence1D,
+    'RPM_emb': spotlight.Embedding, 'Speed_emb': spotlight.Embedding, 'nGear_emb': spotlight.Embedding, 'Throttle_emb': spotlight.Embedding, 'Brake_emb': spotlight.Embedding, 
+    'X_emb': spotlight.Embedding, 'Y_emb': spotlight.Embedding, 'Z_emb': spotlight.Embedding}
+
+spotlight.show(ds, dtype=dtypes)
+```