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README.md

@@ -4747,6 +4747,109 @@ dataset_info:
     num_examples: 205
   download_size: 6550263
   dataset_size: 944154372
+- config_name: pickupsimilardistsuniquegoalstrictlyonlycolor_2048x1_preprocessed_sentence-transformer-pretrained_cnn-scratch
+  features:
+  - name: task_id
+    dtype: int64
+  - name: timesteps
+    sequence: int64
+  - name: actions
+    sequence: int64
+  - name: img_obss
+    sequence:
+      array3_d:
+        shape:
+        - 3
+        - 56
+        - 56
+        dtype: float64
+  - name: terminations
+    sequence: int64
+  - name: discounted_rewards
+    sequence: float64
+  - name: undiscounted_rewards
+    sequence: float64
+  - name: normalised_discounted_rewards
+    sequence: float64
+  - name: discounted_rtgs_discounted_rewards
+    sequence: float64
+  - name: undiscounted_rtgs_discounted_rewards
+    sequence: float64
+  - name: discounted_rtgs_undiscounted_rewards
+    sequence: float64
+  - name: undiscounted_rtgs_undiscounted_rewards
+    sequence: float64
+  - name: discounted_rtgs_normalised_discounted_rewards
+    sequence: float64
+  - name: undiscounted_rtgs_normalised_discounted_rewards
+    sequence: float64
+  - name: discounted_dense_rewards_subgoal_success
+    sequence: float64
+  - name: undiscounted_dense_rewards_subgoal_success
+    sequence: float64
+  - name: normalised_discounted_dense_rewards_subgoal_success
+    sequence: float64
+  - name: discounted_rtgs_discounted_dense_rewards_subgoal_success
+    sequence: float64
+  - name: undiscounted_rtgs_discounted_dense_rewards_subgoal_success
+    sequence: float64
+  - name: discounted_rtgs_undiscounted_dense_rewards_subgoal_success
+    sequence: float64
+  - name: undiscounted_rtgs_undiscounted_dense_rewards_subgoal_success
+    sequence: float64
+  - name: discounted_rtgs_normalised_discounted_dense_rewards_subgoal_success
+    sequence: float64
+  - name: undiscounted_rtgs_normalised_discounted_dense_rewards_subgoal_success
+    sequence: float64
+  - name: dense_rewards_action_failure
+    sequence: float64
+  - name: dense_rtgs_action_failure
+    sequence: float64
+  - name: dense_rewards
+    sequence: float64
+  - name: dense_rtgs
+    sequence: float64
+  - name: mission_embeddings
+    sequence:
+      sequence: float32
+  - name: mission_token_mask
+    sequence: bool
+  - name: rule_feedback_embeddings
+    sequence:
+      sequence:
+        sequence: float32
+  - name: rule_feedback_token_mask
+    sequence:
+      sequence: bool
+  - name: rule_feedback_available
+    sequence: bool
+  - name: task_feedback_embeddings
+    sequence:
+      sequence:
+        sequence: float32
+  - name: task_feedback_token_mask
+    sequence:
+      sequence: bool
+  - name: task_feedback_available
+    sequence: bool
+  - name: instruction_embeddings
+    sequence:
+      sequence:
+        sequence: float32
+  - name: instruction_token_mask
+    sequence:
+      sequence: bool
+  - name: instructions_available
+    sequence: bool
+  splits:
+  - name: train
+    num_bytes: 1684095494
+    num_examples: 1638
+  - name: val
+    num_bytes: 454482870
+    num_examples: 410
+  download_size: 108769496
+  dataset_size: 2138578364
 - config_name: pickupsimilardistsuniquegoalstrictlyonlycolor_2048x1_raw
   features:
   - name: task_id
@@ -6479,6 +6582,12 @@ configs:
     path: pickupsimilardistsuniquegoalstrictlyonlycolor/1024x1/raw/train-*
   - split: val
     path: pickupsimilardistsuniquegoalstrictlyonlycolor/1024x1/raw/val-*
+- config_name: pickupsimilardistsuniquegoalstrictlyonlycolor_2048x1_preprocessed_sentence-transformer-pretrained_cnn-scratch
+  data_files:
+  - split: train
+    path: pickupsimilardistsuniquegoalstrictlyonlycolor/2048x1/preprocessed/sentence-transformer-pretrained/cnn-scratch/train-*
+  - split: val
+    path: pickupsimilardistsuniquegoalstrictlyonlycolor/2048x1/preprocessed/sentence-transformer-pretrained/cnn-scratch/val-*
 - config_name: pickupsimilardistsuniquegoalstrictlyonlycolor_2048x1_raw
   data_files:
   - split: train

pickupsimilardistsuniquegoalstrictlyonlycolor/2048x1/preprocessed/sentence-transformer-pretrained/cnn-scratch/train-00000-of-00004.parquet

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