Upload dataset

README.md

@@ -139,14 +139,14 @@ dataset_info:
   - name: truncated
     dtype: bool
   splits:
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-    num_bytes: 167954010.0
-    num_examples: 90000
   - name: test
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     num_examples: 10000
-  download_size: 182601375
-  dataset_size: 186883548.0
+  - name: train
+    num_bytes: 16788785439.0
+    num_examples: 9000000
+  download_size: 16271510343
+  dataset_size: 16807714977.0
 ---
 # Procgen Benchmark
 This dataset contains expert trajectories generated by a [PPO](https://arxiv.org/abs/1707.06347) reinforcement learning agent trained on each of the 16 procedurally-generated gym environments from the [Procgen Benchmark](https://openai.com/index/procgen-benchmark/). The environments were created on `distribution_mode=easy` and with unlimited levels.

coinrun/{train-00000-of-00001.parquet → train-00000-of-00002.parquet}

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coinrun/train-00001-of-00002.parquet

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