change paths for data and update readme

README.md

@@ -1,56 +1,11 @@
 ---
-annotations_creators:
-- expert-generated
-language_creators:
-- expert-generated
-- machine-generated
-language:
-- en
-- ru
-license:
-- cc-by-4.0
-multilinguality:
-- monolingual
-- multilingua;
-size_categories:
-- 1K<n<10K
-source_datasets:
-- spider
-task_categories:
-- text2text-generation
-task_ids: []
-pretty_name: Pauq
-tags:
-- text-to-sql
-dataset_info:
-  features:
-  - name: db_id
-    dtype: string
-  - name: query
-    dtype: string
-  - name: question
-    dtype: string
-  - name: query_toks
-    sequence: string
-  - name: query_toks_no_value
-    sequence: string
-  - name: question_toks
-    sequence: string
-  config_name: pauq
-  splits:
-  - name: train
-    num_bytes: 
-    num_examples: 
-  - name: validation
-    num_bytes: 
-    num_examples: 
-  download_size: 
-  dataset_size: 
+TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging
 ---
 
-# Dataset Card for Spider
+# Dataset Card for [Dataset Name]
 
 ## Table of Contents
+- [Table of Contents](#table-of-contents)
 - [Dataset Description](#dataset-description)
   - [Dataset Summary](#dataset-summary)
   - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
@@ -76,42 +31,33 @@ dataset_info:
 
 ## Dataset Description
 
-- **Homepage:** 
-- **Repository:** 
-- **Paper:** 
-- **Point of Contact:** 
+- **Homepage:**
+- **Repository:**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
 
 ### Dataset Summary
 
+[More Information Needed]
 
 ### Supported Tasks and Leaderboards
 
+[More Information Needed]
 
 ### Languages
 
+[More Information Needed]
 
 ## Dataset Structure
 
 ### Data Instances
 
-**What do the instances that comprise the dataset represent?**
-
-Each instance is natural language question and the equivalent SQL query
-
-**How many instances are there in total?**
-
-**What data does each instance consist of?**
-
 [More Information Needed]
 
 ### Data Fields
 
-* **db_id**: Database name
-* **question**: Natural language to interpret into SQL
-* **query**: Target SQL query
-* **query_toks**: List of tokens for the query
-* **query_toks_no_value**: List of tokens for the query
-* **question_toks**: List of tokens for the question
+[More Information Needed]
 
 ### Data Splits
 
@@ -127,6 +73,8 @@ Each instance is natural language question and the equivalent SQL query
 
 #### Initial Data Collection and Normalization
 
+[More Information Needed]
+
 #### Who are the source language producers?
 
 [More Information Needed]
@@ -135,8 +83,12 @@ Each instance is natural language question and the equivalent SQL query
 
 #### Annotation process
 
+[More Information Needed]
+
 #### Who are the annotators?
 
+[More Information Needed]
+
 ### Personal and Sensitive Information
 
 [More Information Needed]
@@ -145,15 +97,17 @@ Each instance is natural language question and the equivalent SQL query
 
 ### Social Impact of Dataset
 
+[More Information Needed]
+
 ### Discussion of Biases
 
 [More Information Needed]
 
 ### Other Known Limitations
 
-## Additional Information
+[More Information Needed]
 
-The listed authors in the homepage are maintaining/supporting the dataset. 
+## Additional Information
 
 ### Dataset Curators
 
@@ -161,13 +115,12 @@ The listed authors in the homepage are maintaining/supporting the dataset.
 
 ### Licensing Information
 
-The spider dataset is licensed under 
-the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode)
-
 [More Information Needed]
 
 ### Citation Information
 
+[More Information Needed]
 
 ### Contributions
->>>>>>> master
+
+Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.

pauq.py

@@ -144,49 +144,49 @@ class Pauq(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "splits/ru_iid_train.json"),
+                    "data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_iid_train.json"),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "splits/ru_iid_test.json"),
+                    "data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_iid_test.json"),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "splits/ru_tl_train.json"),
+                    "data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_tl_train.json"),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "splits/ru_tl_test.json"),
+                    "data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_tl_test.json"),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "splits/en_iid_train.json"),
+                    "data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_iid_train.json"),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "splits/en_iid_test.json"),
+                    "data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_iid_test.json"),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "splits/en_tl_train.json"),
+                    "data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_tl_train.json"),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "splits/en_tl_test.json"),
+                    "data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_tl_test.json"),
                 },
             ),
         ]