Add text-classification task category and GitHub link

README.md

@@ -1,4 +1,11 @@
 ---
+language:
+- en
+license: odc-by
+size_categories:
+- n<1K
+task_categories:
+- text-classification
 dataset_info:
   features:
   - name: safe_instance_id
@@ -298,14 +305,9 @@ configs:
   data_files:
   - split: train
     path: data/train-*
-license: odc-by
-language:
-- en
 tags:
 - manual
 - narrative
-size_categories:
-- n<1K
 ---
 
 # NarraDolma Gold — Human Annotations
@@ -317,7 +319,9 @@ the validation backbone of the project: every automated label (LLM and NarraBert
 is measured against it.
  
 - **Paper:** [arXiv:2606.19468](https://arxiv.org/abs/2606.19468)
+- **Code:** [GitHub Repository](https://github.com/johnsont4/narratives_in_pretraining_data_release)
 - **Collection:** [Narratives in LLM Pretraining Data](https://huggingface.co/collections/teagrjohnson/narratives-in-llm-pretraining-data)
+
 ## What's in the dataset
  
 Each row is a 3-sentence passage with its Dolma source and human labels.
@@ -379,7 +383,7 @@ auditing only.
 ```bibtex
 @misc{johnson2026narrative,
   title         = {Characterizing Narrative Content in Web-scale LLM Pretraining Data},
-  author        = {Johnson, Teagan and Ash, Elliott and Piper, Andrew and Antoniak, Maria},
+  author        = {Johnson, Teagan&nbsp;and Ash, Elliott and Piper, Andrew and Antoniak, Maria},
   year          = {2026},
   eprint        = {2606.19468},
   archivePrefix = {arXiv},