Merge pull request #48 from cfoster0/quac

Add QuAC dataset

lm_eval/tasks/__init__.py

@@ -4,6 +4,7 @@ from . import arc
 from . import race
 from . import webqs
 from . import anli
+from . import quac
 from . import hellaswag
 from . import openbookqa
 from . import squad
@@ -29,6 +30,7 @@ TASK_REGISTRY = {
     # Order by benchmark/genre?
     "arc_easy": arc.ARCEasy,
     "arc_challenge": arc.ARCChallenge,
+    "quac": quac.QuAC,
     "hellaswag": hellaswag.HellaSwag,
     "openbookqa": openbookqa.OpenBookQA,
     "squad": squad.SQuAD,

lm_eval/tasks/quac.py

+import json
+import random
+import os
+from lm_eval.base import Dataset
+from ..utils import sh
+
+
+class QuAC(Dataset):    
+    def __init__(self):
+        super().__init__()
+
+    def download(self):
+        if not os.path.exists('data/quac'):
+            sh("""
+                mkdir -p data/quac 
+                wget https://s3.amazonaws.com/my89public/quac/train_v0.2.json -O data/quac/train_v0.2.json
+                wget https://s3.amazonaws.com/my89public/quac/val_v0.2.json -O data/quac/val_v0.2.json
+                """)
+
+    def has_training_docs(self):
+        return True
+
+    def has_validation_docs(self):
+        return True
+
+    def has_test_docs(self):
+        return False
+
+    def training_docs(self):
+        myjson = json.load(open('data/quac/train_v0.2.json'))['data']
+        return self.load_doc(myjson)
+
+    def validation_docs(self):
+        myjson = json.load(open('data/quac/val_v0.2.json'))['data']    
+        return self.load_doc(myjson)
+
+    def test_docs(self):
+        raise NotImplementedError("QuAC has no test docs.")
+    
+    def fewshot_examples(self, k):
+        traindocs = list(self.training_docs())
+        random.shuffle(traindocs)
+
+        return traindocs[:k]
+    
+    def fewshot_description(self):
+        desc = "TITLE: Title of the context passage - subtitle of the passage\nPARAGRAPH: Passage describing the relevant information for answering questions.\n\nQ: Text of a question.\n\nA: Answer to the question, based on the passage. If it cannot be answered based on the passage, write CANNOTANSWER"
+        return desc
+
+    def load_doc(self, myjson):
+        docs = []
+        for item in myjson:
+            title = item['title'] + ' - ' + item['section_title']
+            paragraph = item['paragraphs'][0]['context'].replace("CANNOTANSWER", "")
+            qas = item['paragraphs'][0]['qas']
+            qa_pairs = [(qa['question'], qa['answers'][0]['text']) for qa in qas]
+            for (question, answer) in qa_pairs:
+                doc = { 'title': title, 'paragraph': paragraph, 'question': question, 'answer': answer }
+                docs.append(doc)  
+        return docs
+    
+    def doc_to_text(self, doc, include_target=True):
+        text = 'TITLE: ' + doc['title'] + '\n' + 'PARAGRAPH: ' + doc['paragraph'] + '\n\n' + 'Q: ' + doc['question'] + '\n\n' + 'A: '
+        if include_target:
+            text += doc['answer']
+        return text
+
+    def evaluate(self, docs, lm):
+        pass