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README.md

@@ -1,47 +1,37 @@
 ---
-dataset_info:
-  features:
-  - name: tokens
-    list: int64
-  splits:
-  - name: train
-    num_bytes: 467172
-    num_examples: 57
-  download_size: 97659
-  dataset_size: 467172
+license: mit
 task_categories:
 - text-generation
 language:
 - en
+tags:
+- tokenized
+- language-modeling
 size_categories:
-- 1M<n<10M
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+- n<1K
 ---
+# Dataset Card for eoinf/tokenized_dataset_test
+
 ## Original dataset
 Original dataset: monology/pile-uncopyrighted
 
 ## Dataset Details
 
-- **Total Tokens**: 51,200
-- **Total Sequences**: 50
+- **Total Tokens**: 58,368
+- **Total Sequences**: 57
 - **Context Length**: 1024 tokens
-- **Tokenizer**: meta-llama/Llama-2-7b-hf
+- **Tokenizer**: eoinf/pile_tokenizer_4096
 - **Format**: Each example contains a single field `tokens` with a list of 1024 token IDs
 
 ## Preprocessing
 
-Each document from was:
-1. Tokenized using the meta-llama/Llama-2-7b-hf tokenizer
+Each document was:
+1. Tokenized using the eoinf/pile_tokenizer_4096 tokenizer
 2. Prefixed with a BOS (beginning of sequence) token
 3. Suffixed with an EOS (end of sequence) token
 4. Packed into fixed-length sequences of 1024 tokens
 
 ## Usage
-
 ```python
 from datasets import load_dataset
 
@@ -54,7 +44,6 @@ print(train_data[0]["tokens"])  # First sequence
 ```
 
 ## Use with PyTorch
-
 ```python
 import torch
 from datasets import load_dataset