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HugAILab · Apr 6, 2023 · b2d9e0b · b2d9e0b
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diff --git a/README.md b/README.md
@@ -125,8 +125,8 @@ We demonstrate all pre-built applications in HugNLP. You can choose one applicat
 |  | run_clue_cmrc.sh | **Goal**: Standard **Fine-tuning** for CLUE CMRC2018 task. <br> **Path**: applications/benchmark/cluemrc | BERT, RoBERTa, DeBERTa |  |
 |  | run_clue_c3.sh | **Goal**: Standard **Fine-tuning** for CLUE C3 task. <br> **Path**: applications/benchmark/cluemrc | BERT, RoBERTa, DeBERTa |  |
 |  | run_clue_chid.sh | **Goal**: Standard **Fine-tuning** for CLUE CHID task. <br> **Path**: applications/benchmark/cluemrc | BERT, RoBERTa, DeBERTa |  |
-| **Instruction-Prompting** | run_causal_instruction.sh | **Goal**: **Cross-task training** via generative Instruction-tuning based on causal PLM. <font color='red'>**You can use it to train a small ChatGPT**</font>. <br> **Path**: applications/instruction_prompting/instruction_tuning | GPT2 | [click](./instruction_prompting/generative_instruction_tuning.md) |
-|  | run_zh_extract_instruction.sh | **Goal**: **Cross-task training** via extractive Instruction-tuning based on Global Pointer model. <br> **Path**: applications/instruction_prompting/chinese_instruction | BERT, RoBERTa, DeBERTa | [click](./documents/instruction_prompting/instruction_tuning.md) |
+| **Instruction-Prompting** | run_causal_instruction.sh | **Goal**: **Cross-task training** via generative Instruction-tuning based on causal PLM. <font color='red'>**You can use it to train a small ChatGPT**</font>. <br> **Path**: applications/instruction_prompting/instruction_tuning | GPT2 | [click](./documents/instruction_prompting/generative_instruction_tuning.md) |
+|  | run_zh_extract_instruction.sh | **Goal**: **Cross-task training** via extractive Instruction-tuning based on Global Pointer model. <br> **Path**: applications/instruction_prompting/chinese_instruction | BERT, RoBERTa, DeBERTa | [click](./documents/instruction_prompting/extractive_instruction_tuning.md) |
 |  | run_causal_incontext_cls.sh | **Goal**: **In-context learning** for user-defined classification tasks. <br> **Path**: applications/instruction_prompting/incontext_learning | GPT-2 | [click](./documents/instruction_prompting/incontext_learning_for_cls.md) |
 | **Information Extraction** | run_extractive_unified_ie.sh | **Goal**: **HugIE**: training a unified chinese information extraction via extractive instruction-tuning. <br> **Path**: applications/information_extraction/HugIE | BERT, RoBERTa, DeBERTa | [click](./documents/information_extraction/HugIE.md) |
 |  | api_test.py | **Goal**: HugIE: API test. <br> **Path**: applications/information_extraction/HugIE | - | [click](./documents/information_extraction/HugIE.md) |

diff --git a/documents/README.md b/documents/README.md
@@ -15,7 +15,7 @@ We demonstrate all pre-built applications in HugNLP.
 |  | run_clue_c3.sh | **Goal**: Standard **Fine-tuning** for CLUE C3 task. <br> **Path**: applications/benchmark/cluemrc | BERT, RoBERTa, DeBERTa |  |
 |  | run_clue_chid.sh | **Goal**: Standard **Fine-tuning** for CLUE CHID task. <br> **Path**: applications/benchmark/cluemrc | BERT, RoBERTa, DeBERTa |  |
 | **Instruction-Prompting** | run_causal_instruction.sh | **Goal**: **Cross-task training** via generative Instruction-tuning based on causal PLM. <font color='red'>**You can use it to train a small ChatGPT**</font>. <br> **Path**: applications/instruction_prompting/instruction_tuning | GPT2 | [click](./instruction_prompting/generative_instruction_tuning.md) |
-|  | run_zh_extract_instruction.sh | **Goal**: **Cross-task training** via extractive Instruction-tuning based on Global Pointer model. <br> **Path**: applications/instruction_prompting/chinese_instruction | BERT, RoBERTa, DeBERTa | [click](./instruction_prompting/instruction_tuning.md) |
+|  | run_zh_extract_instruction.sh | **Goal**: **Cross-task training** via extractive Instruction-tuning based on Global Pointer model. <br> **Path**: applications/instruction_prompting/chinese_instruction | BERT, RoBERTa, DeBERTa | [click](./instruction_prompting/extractive_instruction_tuning.md) |
 |  | run_causal_incontext_cls.sh | **Goal**: **In-context learning** for user-defined classification tasks. <br> **Path**: applications/instruction_prompting/incontext_learning | GPT-2 | [click](./instruction_prompting/incontext_learning_for_cls.md) |
 | **Information Extraction** | run_extractive_unified_ie.sh | **Goal**: **HugIE**: training a unified chinese information extraction via extractive instruction-tuning. <br> **Path**: applications/information_extraction/HugIE | BERT, RoBERTa, DeBERTa | [click](./information_extraction/HugIE.md) |
 |  | api_test.py | **Goal**: HugIE: API test. <br> **Path**: applications/information_extraction/HugIE | - | [click](./information_extraction/HugIE.md) |