Update README.md

README.md

@@ -1,26 +1,30 @@
----
-dataset_info:
-  features:
-  - name: input_ids
-    sequence: int64
-  - name: seq_idx
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 234577200
-    num_examples: 14300
-  - name: validation
-    num_bytes: 32808000.0
-    num_examples: 2000
-  download_size: 58650299
-  dataset_size: 267385200.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
----
+---
+dataset_info:
+  features:
+  - name: input_ids
+    sequence: int64
+  - name: seq_idx
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 234577200
+    num_examples: 14300
+  - name: validation
+    num_bytes: 32808000
+    num_examples: 2000
+  download_size: 58650299
+  dataset_size: 267385200
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+language:
+- en
+---
 
+This dataset has been created as an artefact of the paper [Causal Estimation of Memorisation Profiles (Lesci et al., 2024)](https://arxiv.org/abs/2406.04327). 
+More info about this dataset in the related collection [Memorisation-Profiles](https://huggingface.co/collections/pietrolesci/memorisation-profiles-6619604c4594c878cd9d451f). 
 Sample from the Pile  (`EleutherAI/pile-deduped-pythia-preshuffled`) used in the experiments. The unique sequence identified (`seq_idx`) is simply the order of the sequence in the Pile. The dataset is already tokenized.