Fix DuplicatedKeysError on msr_sqa dataset (#3771)

* Make keys unique

* Fix dataset card

Commit from https://github.com/huggingface/datasets/commit/3538e4e5ad595225c854e59d10736876da4a6d45

README.md

@@ -73,13 +73,170 @@ We created SQA by asking crowdsourced workers to decompose 2,022 questions from
 
 ### Languages
 
-English
+English (`en`).
 
 ## Dataset Structure
 
 ### Data Instances
 
-[More Information Needed]
+```
+{'id': 'nt-639',
+ 'annotator': 0,
+ 'position': 0,
+ 'question': 'where are the players from?',
+ 'table_file': 'table_csv/203_149.csv',
+ 'table_header': ['Pick', 'Player', 'Team', 'Position', 'School'],
+ 'table_data': [['1',
+   'Ben McDonald',
+   'Baltimore Orioles',
+   'RHP',
+   'Louisiana State University'],
+  ['2',
+   'Tyler Houston',
+   'Atlanta Braves',
+   'C',
+   '"Valley HS (Las Vegas',
+   ' NV)"'],
+  ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS'],
+  ['4',
+   'Jeff Jackson',
+   'Philadelphia Phillies',
+   'OF',
+   '"Simeon HS (Chicago',
+   ' IL)"'],
+  ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University'],
+  ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS'],
+  ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University'],
+  ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS'],
+  ['9',
+   'Kyle Abbott',
+   'California Angels',
+   'LHP',
+   'Long Beach State University'],
+  ['10',
+   'Charles Johnson',
+   'Montreal Expos',
+   'C',
+   '"Westwood HS (Fort Pierce',
+   ' FL)"'],
+  ['11',
+   'Calvin Murray',
+   'Cleveland Indians',
+   '3B',
+   '"W.T. White High School (Dallas',
+   ' TX)"'],
+  ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS'],
+  ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton'],
+  ['14',
+   'Steve Hosey',
+   'San Francisco Giants',
+   'OF',
+   'Fresno State University'],
+  ['15',
+   'Kiki Jones',
+   'Los Angeles Dodgers',
+   'RHP',
+   '"Hillsborough HS (Tampa',
+   ' FL)"'],
+  ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS'],
+  ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa'],
+  ['18',
+   'Willie Greene',
+   'Pittsburgh Pirates',
+   'SS',
+   '"Jones County HS (Gray',
+   ' GA)"'],
+  ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University'],
+  ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas'],
+  ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University'],
+  ['22',
+   'Tom Goodwin',
+   'Los Angeles Dodgers',
+   'OF',
+   'Fresno State University'],
+  ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University'],
+  ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona'],
+  ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University'],
+  ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']],
+ 'answer_coordinates': {'row_index': [0,
+   1,
+   2,
+   3,
+   4,
+   5,
+   6,
+   7,
+   8,
+   9,
+   10,
+   11,
+   12,
+   13,
+   14,
+   15,
+   16,
+   17,
+   18,
+   19,
+   20,
+   21,
+   22,
+   23,
+   24,
+   25],
+  'column_index': [4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4,
+   4]},
+ 'answer_text': ['Louisiana State University',
+  'Valley HS (Las Vegas, NV)',
+  'Saugus (CA) HS',
+  'Simeon HS (Chicago, IL)',
+  'Texas Tech University',
+  'Frankston (TX) HS',
+  'Auburn University',
+  'Lancaster (SC) HS',
+  'Long Beach State University',
+  'Westwood HS (Fort Pierce, FL)',
+  'W.T. White High School (Dallas, TX)',
+  'Salem (MA) HS',
+  'Cal State Fullerton',
+  'Fresno State University',
+  'Hillsborough HS (Tampa, FL)',
+  'Sarasota (FL) HS',
+  'University of Iowa',
+  'Jones County HS (Gray, GA)',
+  'Fresno State University',
+  'University of Texas',
+  'Santa Clara University',
+  'Fresno State University',
+  'Seton Hall University',
+  'University of Arizona',
+  'Texas A&M University',
+  'Hamden (CT) HS']}
+```
 
 ### Data Fields
 
@@ -100,7 +257,11 @@ It is recommended to use a CSV parser like the Python CSV package to process the
 
 ### Data Splits
 
-[More Information Needed]
+
+|             | train | test |
+|-------------|------:|-----:|
+| N. examples | 14541 | 3012 |
+
 
 ## Dataset Creation
 
@@ -154,11 +315,27 @@ It is recommended to use a CSV parser like the Python CSV package to process the
 
 ### Licensing Information
 
-[More Information Needed]
+[Microsoft Research Data License Agreement](https://msropendata-web-api.azurewebsites.net/licenses/2f933be3-284d-500b-7ea3-2aa2fd0f1bb2/view).
 
 ### Citation Information
 
-[More Information Needed]
+```
+@inproceedings{iyyer-etal-2017-search,
+    title = "Search-based Neural Structured Learning for Sequential Question Answering",
+    author = "Iyyer, Mohit  and
+      Yih, Wen-tau  and
+      Chang, Ming-Wei",
+    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+    month = jul,
+    year = "2017",
+    address = "Vancouver, Canada",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/P17-1167",
+    doi = "10.18653/v1/P17-1167",
+    pages = "1821--1831",
+}
+
+```
 
 ### Contributions
 

msr_sqa.py

@@ -153,14 +153,12 @@ class MsrSQA(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, filepath, data_dir):
         """Yields examples."""
-
         with open(filepath, encoding="utf-8") as f:
             reader = csv.DictReader(f, delimiter="\t")
-            for row in reader:
-                item = dict(row)
+            for idx, item in enumerate(reader):
                 item["answer_text"] = _parse_answer_text(item["answer_text"])
                 item["answer_coordinates"] = _parse_answer_coordinates(item["answer_coordinates"])
                 header, table_data = _load_table_data(os.path.join(data_dir, item["table_file"]))
                 item["table_header"] = header
                 item["table_data"] = table_data
-                yield item["id"], item
+                yield idx, item