jianguozhang commited on
Commit
42587ba
·
verified ·
1 Parent(s): dddf1a8

revert commit for build_prompt

Browse files
Files changed (1) hide show
  1. README.md +18 -22
README.md CHANGED
@@ -21,7 +21,7 @@ extra_gated_fields:
21
  Affiliation: text
22
  ---
23
 
24
- ```markdown
25
  <p align="center">
26
  <img width="500px" alt="xLAM" src="https://huggingface.co/datasets/jianguozhang/logos/resolve/main/xlam-no-background.png">
27
  </p>
@@ -206,26 +206,10 @@ def convert_to_xlam_tool(tools):
206
 
207
  # Helper function to build the input prompt for our model
208
  def build_prompt(task_instruction: str, format_instruction: str, tools: list, query: str):
209
- prompt = f"[BEGIN OF TASK INSTRUCTION]
210
- {task_instruction}
211
- [END OF TASK INSTRUCTION]
212
-
213
- "
214
- prompt += f"[BEGIN OF AVAILABLE TOOLS]
215
- {json.dumps(xlam_format_tools)}
216
- [END OF AVAILABLE TOOLS]
217
-
218
- "
219
- prompt += f"[BEGIN OF FORMAT INSTRUCTION]
220
- {format_instruction}
221
- [END OF FORMAT INSTRUCTION]
222
-
223
- "
224
- prompt += f"[BEGIN OF QUERY]
225
- {query}
226
- [END OF QUERY]
227
-
228
- "
229
  return prompt
230
 
231
  # Build the input and start the inference
@@ -323,11 +307,23 @@ This release is for research purposes only in support of an academic paper. Our
323
 
324
  If you find this repo helpful, please cite our paper:
325
  ```bibtex
 
 
 
 
 
 
 
326
  @article{liu2024apigen,
327
  title={APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets},
328
  author={Liu, Zuxin and Hoang, Thai and Zhang, Jianguo and Zhu, Ming and Lan, Tian and Kokane, Shirley and Tan, Juntao and Yao, Weiran and Liu, Zhiwei and Feng, Yihao and others},
329
  journal={arXiv preprint arXiv:2406.18518},
330
  year={2024}
 
 
 
 
 
 
331
  }
332
  ```
333
- ```
 
21
  Affiliation: text
22
  ---
23
 
24
+
25
  <p align="center">
26
  <img width="500px" alt="xLAM" src="https://huggingface.co/datasets/jianguozhang/logos/resolve/main/xlam-no-background.png">
27
  </p>
 
206
 
207
  # Helper function to build the input prompt for our model
208
  def build_prompt(task_instruction: str, format_instruction: str, tools: list, query: str):
209
+ prompt = f"[BEGIN OF TASK INSTRUCTION]\n{task_instruction}\n[END OF TASK INSTRUCTION]\n\n"
210
+ prompt += f"[BEGIN OF AVAILABLE TOOLS]\n{json.dumps(xlam_format_tools)}\n[END OF AVAILABLE TOOLS]\n\n"
211
+ prompt += f"[BEGIN OF FORMAT INSTRUCTION]\n{format_instruction}\n[END OF FORMAT INSTRUCTION]\n\n"
212
+ prompt += f"[BEGIN OF QUERY]\n{query}\n[END OF QUERY]\n\n"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
213
  return prompt
214
 
215
  # Build the input and start the inference
 
307
 
308
  If you find this repo helpful, please cite our paper:
309
  ```bibtex
310
+ @article{zhang2024xlam,
311
+ title={xlam: A family of large action models to empower ai agent systems},
312
+ author={Zhang, Jianguo and Lan, Tian and Zhu, Ming and Liu, Zuxin and Hoang, Thai and Kokane, Shirley and Yao, Weiran and Tan, Juntao and Prabhakar, Akshara and Chen, Haolin and others},
313
+ journal={arXiv preprint arXiv:2409.03215},
314
+ year={2024}
315
+ }
316
+
317
  @article{liu2024apigen,
318
  title={APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets},
319
  author={Liu, Zuxin and Hoang, Thai and Zhang, Jianguo and Zhu, Ming and Lan, Tian and Kokane, Shirley and Tan, Juntao and Yao, Weiran and Liu, Zhiwei and Feng, Yihao and others},
320
  journal={arXiv preprint arXiv:2406.18518},
321
  year={2024}
322
+
323
+ @article{zhang2025actionstudio,
324
+ title={ActionStudio: A Lightweight Framework for Data and Training of Action Models},
325
+ author={Zhang, Jianguo and Hoang, Thai and Zhu, Ming and Liu, Zuxin and Wang, Shiyu and Awalgaonkar, Tulika and Prabhakar, Akshara and Chen, Haolin and Yao, Weiran and Liu, Zhiwei and others},
326
+ journal={arXiv preprint arXiv:2503.22673},
327
+ year={2025}
328
  }
329
  ```