Update README.md

README.md

@@ -9,6 +9,37 @@ tags:
 pretty_name: LeaningQ-qg
 size_categories:
 - 100K<n<1M
+train-eval-index:
+- config: plain_text
+  task: question-generation
+  task_id: extractive_question_generation
+  splits:
+    train_split: train
+    eval_split: validation
+    test_split: test
+  col_mapping:
+    context: context
+    questionsrc: question source
+    question: question
+  metrics:
+  - type: squad
+    name: SQuAD
+dataset_info:
+  features:
+  - name: context
+    dtype: string
+  - name: questionsrc
+    dtype: string
+  - name: question
+    dtype: string
+  config_name: plain_text
+  splits:
+  - name: train
+    num_examples: 188660
+  - name: validation
+    num_examples: 20630
+  - name: test
+    num_examples: 18227
 ---
 
 # Dataset Card for LearningQ-qg
@@ -18,15 +49,24 @@ size_categories:
 
 - **Repository:** [GitHub](https://github.com/AngusGLChen/LearningQ#readme)
 - **Paper:** [LearningQ: A Large-scale Dataset for Educational Question Generation](https://ojs.aaai.org/index.php/ICWSM/article/view/14987/14837)
-- **Point of Contact:** angus.glchen@gmail.com
+- **Point of Contact:** s.lamri@univ-bouira.dz
 
 ### Dataset Summary
 
-This dataset card aims to  be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+LearningQ, a challenging educational question generation dataset containing over 230K document-question pairs by [Guanliang Chen, Jie Yang, Claudia Hauff and Geert-Jan Houben]. It includes 7K instructor-designed questions assessing knowledge concepts being taught and 223K learner-generated questions seeking in-depth understanding of the taught concepts.This new version collected and corrected from over then 50000 error and more then 1500 type of error by [Sidali Lamri](https://dz.linkedin.com/in/sidali-lamri)
+
+### Use the dataset
+
+```python
+from datasets import load_dataset
+lq_dataset = load_dataset("sidovic/LearningQ-qg")
+lq_dataset["train"][1]
+len(lq_dataset["train"]),len(lq_dataset["validation"]),len(lq_dataset["test"])
+```
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed]
+[Question generation]
 
 ### Languages
 
@@ -36,15 +76,28 @@ This dataset card aims to  be a base template for new datasets. It has been gene
 
 ### Data Instances
 
-[More Information Needed]
+An example of example looks as follows.
+```
+{
+    
+    "context": "This is a test context.",
+    "questionsrc": "test context",
+    "question": "Is this a test?"
+}
+```
 
 ### Data Fields
 
-[More Information Needed]
+The data fields are the same among all splits.
 
+- `context`: a `string` feature.
+- `questionsrc`: a `string` feature.
+- `question`: a `string` feature.
 ### Data Splits
 
-[More Information Needed]
+|   name   |train |validation|test |
+|----------|-----:|---------:|----:|
+|LearningQ |188660|     20630|18227|
 
 ## Dataset Creation
 
@@ -102,7 +155,19 @@ This dataset card aims to  be a base template for new datasets. It has been gene
 
 ### Citation Information
 
-[More Information Needed]
+```
+{
+  author = {Sidali Lamri},
+  title = {new LearningQ version for Question generation in transformers},
+  year = {2023}
+}
+@paper{ICWSM18LearningQ,
+	author = {Guanliang Chen, Jie Yang, Claudia Hauff and Geert-Jan Houben},
+	title = {LearningQ: A Large-scale Dataset for Educational Question Generation},
+	conference = {International AAAI Conference on Web and Social Media},
+	year = {2018}
+}
+```
 
 ### Contributions