Update README.md

README.md

@@ -1,15 +1,87 @@
+---
+license: cc-by-4.0
+language:
+- en
+configs:
+- config_name: Temporal
+  data_files:
+  - split: default
+    path: Temporal/*.json
+- config_name: Invariant
+  data_files:
+  - split: default
+    path: Invariant/*.json
+task_categories:
+- question-answering
+- text-generation
+tags:
+- circuit
+- temporal
+- knowledge
+- triplet
+size_categories:
+- 10K<n<100K
+---
+
+# \[ACL 2025\] Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information
+
+<center><img src = "https://cdn-uploads.huggingface.co/production/uploads/5efbdc4ac3896117eab961a9/yzXDiuGZUHCaVkERZFSIO.png" width="1000" height="1000"></center>
+
+**This repository contains two separate subsets of data (configs):**  
+- **Temporal**: JSON files in `Temporal` that include temporal knowledge.  
+- **Invariant**: JSON files in `Invariant` that describe time-invariant knowledge based on [LRE](https://arxiv.org/abs/2308.09124).  
+
+Each subset has its own schema. By defining them as two configs in the YAML header above, Hugging Face’s Dataset Viewer will show **“Temporal”** and **“Invariant”** as separate options in the configuration dropdown, allowing you to explore each schema independently without a schema‐mismatch error.
+
+---
+## Dataset Overview
+
+**Motivation:**  
+Large language models (LLMs) often struggle to answer questions whose answers change over time. We investigated whether there exist specialized attention heads—**Temporal Heads**—that are triggered by explicit dates (e.g., “In 2004, …”) or by implicit textual cues (e.g., “In the year …”) and that help the model recall or update time-specific facts.
+
+- **Method:** Using [Knowledge Circuit](https://arxiv.org/abs/2405.17969) analysis, we identified attention heads in LLMs that strongly activate on temporal signals (timestamps, years, etc.).  
+- **Findings:** These Temporal Heads are crucial for time-sensitive recall. When you ablate (disable) them, the model’s performance on time-dependent questions degrades significantly, whereas its performance on static (time-invariant) knowledge remains almost unchanged.  
+- **Implications:** By manipulating the outputs of these specific heads, one can potentially edit or correct a model’s temporal knowledge directly (e.g., if its internal knowledge about “Who was president in 1999?” is outdated).
+
+---
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# 1. Load the "Temporal" config
+#    - Each example in this split has fields like:
+#      { "name": ..., "prompt_templates": [...], "samples": [ { "subject": ..., "object": ..., "time": ... }, ... ], ... }
+Temporal = load_dataset("dmis-lab/TemporalHead", "Temporal")["default"]
+
+# 2. Load the "Invariant" config
+#    - Each example here has fields like:
+#      { "name": ..., "prompt_templates": [...], "properties": { "relation_type": ..., ... }, "samples": [ { "subject": ..., "object": ... }, ... ], ... }
+Invariant = load_dataset("dmis-lab/TemporalHead", "Invariant")["default"]
+```
+
 ---
-license: cc-by-4.0
-language:
-- en
-
-configs:                      
-  - config_name: Temporal      
-    data_files:
-      - split: default          
-        path: "Temporal/*.json"
-  - config_name: Invariant   
-    data_files:
-      - split: default
-        path: "Invariant/*.json"
----
+
+## Citation and Acknowledgements
+
+If you find our work is useful in your research, please consider citing our [paper](https://arxiv.org/abs/2502.14258):
+```
+@article{park2025does,
+  title={Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information},
+  author={Park, Yein and Yoon, Chanwoong and Park, Jungwoo and Jeong, Minbyul and Kang, Jaewoo},
+  journal={arXiv preprint arXiv:2502.14258},
+  year={2025}
+}
+```
+
+We also gratefully acknowledge the following open-source repositories and kindly ask that you cite their accompanying papers as well.
+
+    [1] https://github.com/zjunlp/KnowledgeCircuits
+    [2] https://github.com/hannamw/eap-ig
+    [3] https://github.com/evandez/relations
+
+---
+
+## Contact
+For any questions or issues, feel free to reach out to [522yein (at) korea.ac.kr].