Update prediction data with fw57M processor

README.md

@@ -23,14 +23,14 @@ configs:
   data_files:
   - split: train
     path: bytelevel-subset_2/train-*
-- config_name: frequency_64000
-  data_files:
-  - split: train
-    path: frequency_64000/*.parquet
 - config_name: frequency_32000
   data_files:
   - split: train
     path: frequency_32000/*.parquet
+- config_name: frequency_64000
+  data_files:
+  - split: train
+    path: frequency_64000/*.parquet
 - config_name: fw57M_Entropy_frequency_mean-post-merge-64000
   data_files:
   - split: train
@@ -39,6 +39,10 @@ configs:
   data_files:
   - split: train
     path: fw57M_Entropy_min-mean-post-merge_64000/*.parquet
+- config_name: fw57M_Entropy_threshold_32000
+  data_files:
+  - split: train
+    path: fw57M_Entropy_threshold_32000/*.parquet
 - config_name: fw57M_Surprisal_frequency-mean-post-merge_64000
   data_files:
   - split: train
@@ -47,10 +51,6 @@ configs:
   data_files:
   - split: train
     path: fw57M_Surprisal_min-mean-post-merge_64000/*.parquet
-- config_name: fw57M_Entropy_threshold_32000
-  data_files:
-  - split: train
-    path: fw57M_Entropy_threshold_32000/*.parquet
 language:
 - en
 tags:
@@ -76,13 +76,13 @@ dataset_info:
   - name: EOS Probability
     sequence: float64
   splits:
-  - name: fw57M
+  - name: ngram
     num_bytes: 17165894020
     num_examples: 100000
-  - name: ngram
+  - name: fw57M
     num_bytes: 17165894020
     num_examples: 100000
-  download_size: 20148000341
+  download_size: 32072983591
   dataset_size: 34331788040
 - config_name: bytelevel-subset_1
   features:

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