Datasets:

DANGDOCAO
/

GeneratingQuestions

Tasks:

Question Answering

Text Generation

Table Question Answering

Modalities:

Formats:

Languages:

Size:

Tags:

question-generation

Libraries:

License:

Dataset card Data Studio Files Files and versions

DANGDOCAO commited on 26 days ago

Commit

2ca7702

·

verified ·

1 Parent(s): f516db5

HVU_QA

Files changed (1) hide show

HVU_QA/README.md +2 -2

HVU_QA/README.md CHANGED Viewed

@@ -88,7 +88,7 @@ A fine-tuned model trained on **HVU_QA (VietAI/vit5-base)** achieved:
 ├── t5-viet-qg-finetuned/
 ├── fine_tune_qg.py
 ├── generate_question.py
-├── 30ktrain.json
 └── README.md
 ```
 > All data files are UTF-8 encoded and ready for use in NLP pipelines.
@@ -194,7 +194,7 @@ python3 -c "import torch, transformers, datasets, sklearn, sentencepiece, safete
 When you run `fine_tune_qg.py`, the script will:
-1. Load the dataset from **`30ktrain.json`**
 2. Fine-tune the `VietAI/vit5-base` model
 3. Save the trained model into a new folder named **`t5-viet-qg-finetuned/`**

 ├── t5-viet-qg-finetuned/
 ├── fine_tune_qg.py
 ├── generate_question.py
+├── 39k_train.json
 └── README.md
 ```
 > All data files are UTF-8 encoded and ready for use in NLP pipelines.
 When you run `fine_tune_qg.py`, the script will:
+1. Load the dataset from **`3939k_train.json`**
 2. Fine-tune the `VietAI/vit5-base` model
 3. Save the trained model into a new folder named **`t5-viet-qg-finetuned/`**