Update README.md

README.md

@@ -1,3 +1,134 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- zh
+tags:
+- finance
+---
+# Dataset Card for CRAFT
+
+[![arXiv](https://img.shields.io/badge/arXiv-2508.01302-b31b1b.svg?logo=arxiv)](https://arxiv.org/abs/2508.01302)
+[![GitHub](https://img.shields.io/badge/GitHub-CRAFT_&_KEDAS-blue?logo=github)](https://github.com/JamyDon/LTE)
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg?logo=apache)](LICENSE)
+
+<!-- Provide a quick summary of the dataset. -->
+
+This is CRAFT, a dataset for **C**hinese **R**eal-time statistics **A**nd **F**inance knowledge edi**T**ing). CRAFT supports real-time data curation with a [fully automated pipeline](https://github.com/JamyDon/CRAFT-KEDAS/tree/main/CRAFT).
+
+This repository contains the CRAFT dataset curated in 25Q1.
+
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+- **Curated by:** The CRAFT&KEDAS team.
+- **Language(s) (NLP):** Chinese
+- **License:** Apache-2.0
+
+### Dataset Sources
+
+<!-- Provide the basic links for the dataset. -->
+
+- Monthly statistical reports from the [National Bureau of Statistics of China](https://data.stats.gov.cn/) via the [`cn-stats` API](https://github.com/songjian/cnstats).
+- Annual financial statements of publicly listed Chinese companies via the [`AKShare` API](https://github.com/akfamily/akshare).
+- Commonsense data from [C3](https://dataset.org/c3/).
+
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+
+Real-time knowledge editing. Evaluates Edit Success, Locality, and Portability.
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+```json
+{
+  "case_id": "an integer ID",
+  "subject": [
+    "related subject 1",
+    "related subject 2"
+  ],
+  "prompt": [
+    "prompt 1",
+    "prompt 2"
+  ],
+  "target_new": [
+    "new target 1",
+    "new target 2"
+  ],
+  "portability": {
+    "Subject_Aliasing": [
+      {
+        "prompt": "subject aliasing query 1",
+        "ground_truth": [
+          "subject aliasing answer 1"
+        ]
+      },
+      {
+        "prompt": "subject aliasing query 2",
+        "ground_truth": [
+          "subject aliasing answer 2"
+        ]
+      }
+    ],
+    "Reasoning": [
+      {
+        "prompt": "reasoning query",
+        "ground_truth": [
+          "reasoning answer"
+        ]
+      }
+    ]
+  },
+  "locality": {
+    "Relation_Specificity": [
+      {
+        "prompt": "relation specificity query 1",
+        "ground_truth": [
+          "relation specificity answer 1"
+        ]
+      },
+      {
+        "prompt": "relation specificity query 2",
+        "ground_truth": [
+          "relation specificity answer 2"
+        ]
+      }
+    ],
+    "common_sense": [
+      {
+        "prompt": "common sense query 1",
+        "ground_truth": [
+          "common sense answer 1"
+        ]
+      },
+      {
+        "prompt": "common sense query 2",
+        "ground_truth": [
+          "common sense answer 2"
+        ]
+      }
+    ]
+  }
+}
+```
+
+## Citation
+
+If you find our work useful, feel free to cite our paper:
+
+```bib
+@misc{tang2025aligninglanguagemodelsrealtime,
+      title={Aligning Language Models with Real-time Knowledge Editing}, 
+      author={Chenming Tang and Yutong Yang and Kexue Wang and Yunfang Wu},
+      year={2025},
+      eprint={2508.01302},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2508.01302}, 
+}
+```