Add dataset files for multiple tasks with train, dev, and all splits

dataset_infos.json

@@ -3,84 +3,294 @@
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_1"
+        "config_name": "task_1",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_2": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_2"
+        "config_name": "task_2",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_3": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_3"
+        "config_name": "task_3",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_4": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_4"
+        "config_name": "task_4",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_5": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_5"
+        "config_name": "task_5",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_6": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_6"
+        "config_name": "task_6",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_7": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_7"
+        "config_name": "task_7",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_8": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_8"
+        "config_name": "task_8",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_9": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_9"
+        "config_name": "task_9",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_10": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_10"
+        "config_name": "task_10",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_11": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_11"
+        "config_name": "task_11",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_12": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_12"
+        "config_name": "task_12",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_13": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_13"
+        "config_name": "task_13",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     },
     "task_14": {
         "description": "PUB",     
         "builder_name": "PUB",
         "dataset_name": "PUB",
-        "config_name": "task_14"
+        "config_name": "task_14",
+        "splits": {
+            "all": {
+                "name": "all",
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "dataset_name": null
+            },
+            "dev": {
+                "name": "dev",
+                "num_examples": 5,
+                "dataset_name": null
+            }
+        }
     }
 }

task_1/dev.jsonl

@@ -0,0 +1,5 @@
+{"pretext": "Context: X and Y are childhood neighbours who unexpectedly run into each other at a cafe.\nQuestion: Are you satisfied with how things have turned out?\nResponse: I am satisfied with how things have turned out .\n", "options": ["Direct answer", "Indirect answer"], "correct answer": "Direct answer", "id": "456"}
+{"pretext": "Context: X wants to know what activities Y likes to do during weekends.\nQuestion: Are you into any sports?\nResponse: I'm more of a video game guy.\n", "options": ["Direct answer", "Indirect answer"], "correct answer": "Indirect answer", "id": "102"}
+{"pretext": "Context: X and Y are colleagues who are leaving work on a Friday at the same time.\nQuestion: Do you work near by?\nResponse: I work near by .\n", "options": ["Direct answer", "Indirect answer"], "correct answer": "Direct answer", "id": "1126"}
+{"pretext": "Context: X wants to know about Y's food preferences.\nQuestion: Do you like eating out?\nResponse: Eating out is the best\n", "options": ["Direct answer", "Indirect answer"], "correct answer": "Indirect answer", "id": "1003"}
+{"pretext": "Context: Y has just travelled from a different city to meet X.\nQuestion: Did you come here by car?\nResponse: I did come here by car .\n", "options": ["Direct answer", "Indirect answer"], "correct answer": "Direct answer", "id": "914"}

task_10/dev.jsonl

@@ -0,0 +1,5 @@
+{"pretext": "Premise: Stacy did not sprint to the banks.\nHypothesis: Stacy sprinted to the banks.", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis is definitely not true given premise", "id": "571"}
+{"pretext": "Premise: Alicia did not sprint to that hospital.\nHypothesis: Alicia ran to that hospital.", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis is definitely true given premise", "id": "419"}
+{"pretext": "Premise: The guests tried to bore Natalie.\nHypothesis: The guests did not try to bore Natalie.", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis is definitely not true given premise", "id": "356"}
+{"pretext": "Premise: Tiffany is not brilliant.\nHypothesis: Tiffany is not smart.", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis is definitely not true given premise", "id": "1728"}
+{"pretext": "Premise: These senators couldn't regret those hills appear.\nHypothesis: These senators didn't need to regret those hills appear.", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis is definitely not true given premise", "id": "130"}

task_11/dev.jsonl

@@ -0,0 +1,5 @@
+{"pretext": "Premise: Has Lisa learned how the students wear those socks?\nHypothesis: Lisa has learned how the students wear those socks.", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis might be true given premise", "id": "61"}
+{"pretext": "Premise: If Ruth conceals why Derek figures out who murmurs, it's okay.\nHypothesis: Derek figures out who murmurs", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis is definitely true given premise", "id": "191"}
+{"pretext": "Premise: Rose's ice did stun the children.\nHypothesis: Rose has ice.", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis is definitely true given premise", "id": "447"}
+{"pretext": "Premise: Does Candice's projector bother ladies?\nHypothesis: These actors has a projector.", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis might be true given premise", "id": "476"}
+{"pretext": "Premise: Both customers who aren't talking have argued about Rhonda.\nHypothesis: There are exactly two cashiers who aren't talking", "options": ["Hypothesis is definitely true given premise", "Hypothesis might be true given premise", "Hypothesis is definitely not true given premise"], "correct answer": "Hypothesis might be true given premise", "id": "1034"}

task_12/dev.jsonl

@@ -0,0 +1,5 @@
+{"pretext": "Conversation:\nA: You should save some money on parking here .\nAssumption: A has no change in hand.\n", "options": ["Valid", "Invalid"], "correct answer": "Valid", "id": "2465"}
+{"pretext": "Conversation:\nA: Have you had a chance to look over the contract ?\nB: Yes . I've read it carefully .\nAssumption: The contract has been thoroughly examined.\n", "options": ["Valid", "Invalid"], "correct answer": "Valid", "id": "108"}
+{"pretext": "Conversation:\nA: I absolutely love what you're wearing today .\nAssumption: A is a flirt. A has a way of taking people  into confidence.\n", "options": ["Valid", "Invalid"], "correct answer": "Valid", "id": "2298"}
+{"pretext": "Conversation:\nA: Why did you stay home today ?\nAssumption: A is mother of B.\n", "options": ["Valid", "Invalid"], "correct answer": "Valid", "id": "814"}
+{"pretext": "Conversation:\nA: That man's really a bore to me .\nB: Which one do you mean ?\nAssumption: B has a big list of people.\n", "options": ["Valid", "Invalid"], "correct answer": "Valid", "id": "2232"}

task_13/dev.jsonl

@@ -0,0 +1,5 @@
+{"pretext": "Conversation:\nSpeaker_1: how can I find Lucas\nSpeaker_2: he journeyed to the closet and the pantry\nSpeaker_1: are all the bananas in the sunroom\nSpeaker_2: yes, they are all there\nSpeaker_1: did Lucas place the bananas there\nSpeaker_2: no\nSpeaker_1: did Hunter put the bananas there\nSpeaker_2: yes, he did\nSpeaker_1: where can I get the sweet potatoes\nSpeaker_2: the sweet potatoes are in the pantry\nSpeaker_1: did you put them there\nSpeaker_2: I put them there and went to the garden\nSpeaker_1: was Sophia there\nSpeaker_2: it is likely\nSpeaker_1: are some of the grapes in the garden\nSpeaker_2: I left three of them there\nSpeaker_1: did Lucas put the pineapples there\nSpeaker_2: no\nSpeaker_1: where did you see them\nSpeaker_2: Sophia and I put them in the closet\nQuestion: are some of the bananas in the sunroom?\n", "options": ["yes", "no"], "correct answer": "yes", "id": "429"}
+{"pretext": "Conversation:\nSpeaker_1: are all the pears in the TV_room\nSpeaker_2: I have no idea\nSpeaker_1: did Noah leave them in the TV_room\nSpeaker_2: he left them there and travelled to the living_room\nSpeaker_1: how many plums are there\nSpeaker_2: two or three\nSpeaker_1: where did Elizabeth go\nSpeaker_2: she walked to the hallway or the TV_room\nSpeaker_1: did Noah put the cherries in the living_room\nSpeaker_2: he put them in the living_room or the dining_room\nSpeaker_1: where did you go\nSpeaker_2: I went to the dining_room\nSpeaker_1: are some of the bananas in the living_room\nSpeaker_2: yes\nSpeaker_1: where can I find the pumpkin\nSpeaker_2: it is in the dining_room or the hallway\nSpeaker_1: are some of the grapes in the hallway\nSpeaker_2: they are all there\nSpeaker_1: did you leave them in the hallway\nSpeaker_2: I left them there and walked to the dining_room\nQuestion: was Noah in the living_room?\n", "options": ["yes", "no"], "correct answer": "yes", "id": "225"}
+{"pretext": "Conversation:\nSpeaker_1: how many limes are in the laundry\nSpeaker_2: there are at least three there\nSpeaker_1: how can I find Lily\nSpeaker_2: she said she journeyed to the hallway\nSpeaker_1: where are the grapefruits\nSpeaker_2: Lily said there is a blue treasure chest in the hallway\nSpeaker_1: did you leave the grapefruits there\nSpeaker_2: no, I didn't\nSpeaker_1: are all the grapefruits there\nSpeaker_2: I don't know\nSpeaker_1: where can I find the plums\nSpeaker_2: Ella said she put the plums in the playroom and walked to the workshop\nSpeaker_1: are all of them in the playroom\nSpeaker_2: yes, they are all there\nSpeaker_1: where were you\nSpeaker_2: I walked to the hallway and the workshop\nSpeaker_1: how many cherries are in the laundry\nSpeaker_2: there are four or five\nSpeaker_1: where can I get the radishes\nSpeaker_2: the radishes are in the workshop\nQuestion: are the plums in the hallway?\n", "options": ["yes", "no"], "correct answer": "no", "id": "459"}
+{"pretext": "Conversation:\nSpeaker_1: did Jacob put the cherries in the pantry\nSpeaker_2: he put them in the pantry or the cellar\nSpeaker_1: are all the persimmons there\nSpeaker_2: some persimmons are in the pantry\nSpeaker_1: were you there\nSpeaker_2: yes\nSpeaker_1: where did you see Alexander\nSpeaker_2: he was in the den\nSpeaker_1: did Jacob go there\nSpeaker_2: he walked to the cellar\nSpeaker_1: did he put the persimmons in the pantry\nSpeaker_2: he put them there and walked to the cellar\nSpeaker_1: did you see the potato\nSpeaker_2: there is a green envelope in the pantry\nSpeaker_1: what about the lemons\nSpeaker_2: they are in the lounge\nSpeaker_1: did Alexander put them in the lounge\nSpeaker_2: no, he didn't\nSpeaker_1: are all the lemons there\nSpeaker_2: some lemons are in the lounge\nQuestion: are all the lemons in the lounge?\n", "options": ["yes", "no"], "correct answer": "no", "id": "603"}
+{"pretext": "Conversation:\nSpeaker_1: did you leave the cherries in the back_yard\nSpeaker_2: I left them there and walked to the garden\nSpeaker_1: did you leave the broccolis there\nSpeaker_2: no\nSpeaker_1: where did Amelia go\nSpeaker_2: I know she didn't went to the back_yard\nSpeaker_1: where was she\nSpeaker_2: she said she went to the attic\nSpeaker_1: did you leave the turnips in the attic\nSpeaker_2: no\nSpeaker_1: was Owen there\nSpeaker_2: he walked to the back_yard\nSpeaker_1: did you leave the onions in the attic\nSpeaker_2: I left the cabbages there\nSpeaker_1: did you leave the onions there\nSpeaker_2: no, I didn't\nSpeaker_1: did Amelia leave them there\nSpeaker_2: no, she didn't\nSpeaker_1: did Owen leave them in the attic\nSpeaker_2: he said he left them in the TV_room\nQuestion: are the onions in the attic?\n", "options": ["yes", "no"], "correct answer": "no", "id": "284"}

task_14/dev.jsonl

@@ -0,0 +1,5 @@
+{"pretext": "Context: Vedang writes a good hand.\nQuestion: What does \"hand\" mean:?\n", "options": ["With a strong grip", "Essay", "Handwriting", "None"], "correct answer": "Handwriting", "id": "414"}
+{"pretext": "Context: Broadway is the heart of American theater\nQuestion: what does \"broadway\" refer to?\n", "options": ["road", "place", "highway", "American theater industry "], "correct answer": "American theater industry ", "id": "445"}
+{"pretext": "Context: You just have to be thick-skinnned to handle it \nQuestion: What does \" thick-skinned\" refer to?\n", "options": ["skin colour", "coldhearted ", "sensitive", "emotional"], "correct answer": "coldhearted ", "id": "3"}
+{"pretext": "Context: \"All study and no play makes Johny a dull boy.\"\nQuestion: What does \"play\" refer to:?\n", "options": ["Moments of fun", "Swings", "Ball", "Bat"], "correct answer": "Moments of fun", "id": "388"}
+{"pretext": "Context: The press is always hungry for a story\nQuestion: what does \"hungry\" refer to?\n", "options": ["starving", "Strong desire", "empty", "none"], "correct answer": "Strong desire", "id": "412"}

task_2/dev.jsonl

@@ -0,0 +1,5 @@
+{"pretext": "Context: Y has just told X that he/she is thinking of buying a flat in New York.\nX: Are you comfortable with a busy city?\nY: I don't like all the noise\n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "No", "id": "653"}
+{"pretext": "Context: X wants to know about Y's music preferences.\nX: Do you have a favorite musician?\nY: I have all of Jeff Buckley's CDs.\n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "Yes", "id": "1731"}
+{"pretext": "Context: X wants to know what sorts of books Y likes to read.\nX: Have you read anything from the NYT bestseller list?\nY: I try to get to at least one thing from it every year.\n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "Yes", "id": "1393"}
+{"pretext": "Context: X wants to know what sorts of books Y likes to read.\nX: Have you read any books by Terry Pratchett?\nY: Discworld is one of my favourite books.\n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "Yes", "id": "1138"}
+{"pretext": "Context: X and Y are childhood neighbours who unexpectedly run into each other at a cafe.\nX: Do you still have your pet hamster?\nY: She died a few years ago.\n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "No", "id": "636"}

task_3/dev.jsonl

@@ -0,0 +1,5 @@
+{"pretext": "Context: Y has just travelled from a different city to meet X.\nX: Did you have a good journey?\nY: I'm so relieved to be finally here!\nImplied meaning: His journey was tiring and after reaching the destination he feel relieved. \n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "No", "id": "881"}
+{"pretext": "Context: X wants to know what activities Y likes to do during weekends.\nX: Are you adventurous?\nY: Adventure is my middle name.\nImplied meaning: He does not like adventure as it's his middle name.\n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "Yes", "id": "1378"}
+{"pretext": "Context: X wants to know about Y's food preferences.\nX: Do you have a favorite restaurant?\nY: I like the sushi place next door.\nImplied meaning: He has a preference for a specific sushi restaurant located nearby.\n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "Yes", "id": "418"}
+{"pretext": "Context: X wants to know about Y's food preferences.\nX: Do like a spicy foods?\nY: Not as much as everyone else on this platform.\nImplied meaning: He does not have a strong preference for spicy foods compared to other individuals.\n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "No", "id": "379"}
+{"pretext": "Context: X wants to know what activities Y likes to do during weekends.\nX: Are you planning to have a busy weekend?\nY: I have no plans.\nImplied meaning: He has this weekend free.\n", "options": ["Yes", "No", "Yes, subject to some conditions", "In the middle, neither yes nor no", "Other"], "correct answer": "No", "id": "1556"}

task_4/dev.jsonl

@@ -0,0 +1,5 @@
+{"pretext": "Speaker_1: are some of the strawberries in the bedroom\nSpeaker_2: four are there\nSpeaker_1: how many eggplants are in the bathroom\nSpeaker_2: two\nSpeaker_1: did you leave them in the bathroom\nSpeaker_2: I left them there and went to the lounge\nSpeaker_1: where is the cabbage\nSpeaker_2: it is in the bathroom or the bedroom\nSpeaker_1: did Jack place it in the bedroom\nSpeaker_2: no, he didn't\nSpeaker_1: did you place it in the bedroom\nSpeaker_2: no, I didn't\nSpeaker_1: are some of the cherries in the lounge\nSpeaker_2: I put two of them there\nSpeaker_1: are some of the grapefruits in the sunroom\nSpeaker_2: Jack said he put three of them there\nSpeaker_1: where can I find the plums\nSpeaker_2: the plums are in the sunroom\n", "options": ["the plums are not in the sunroom", "I am not sure where the plums are", "the plums are in the sunroom", "I don't know where the plums are"], "correct answer": "the plums are in the sunroom", "id": "198"}
+{"pretext": "Speaker_1: did you put the melons in the den\nSpeaker_2: I put them there and journeyed to the attic\nSpeaker_1: did Mila put the potatoes there\nSpeaker_2: she put them in the laundry if not the den\nSpeaker_1: was she in the den\nSpeaker_2: she was in the den if not in the den\nSpeaker_1: where was Noah\nSpeaker_2: he said he was in the kitchen\nSpeaker_1: did you see the broccolis\nSpeaker_2: I have no idea\nSpeaker_1: did you put them in the kitchen\nSpeaker_2: I put the persimmons there\nSpeaker_1: where are the plums\nSpeaker_2: the plums are in the laundry\nSpeaker_1: how many persimmons are in the kitchen\nSpeaker_2: three or four\n", "options": ["all of the persimmons are in the laundry", "I am not sure how many persimmons are in the kitchen", "all of the plums are in the kitchen", "all of the persimmons are in the kitchen"], "correct answer": "I am not sure how many persimmons are in the kitchen", "id": "735"}
+{"pretext": "Speaker_1: are all the green peppers in the porch\nSpeaker_2: some are there\nSpeaker_1: where did you go\nSpeaker_2: I went to the porch and the bathroom\nSpeaker_1: where did you see Chloe\nSpeaker_2: I don't know\nSpeaker_1: did Alexander leave the celeries in the bathroom\nSpeaker_2: I'm not sure\nSpeaker_1: how many are in the hallway\nSpeaker_2: there are two or three\nSpeaker_1: are all the corns in the porch\nSpeaker_2: Alexander said he saw some corns in the porch\nSpeaker_1: did you place the plums there\nSpeaker_2: I placed them in the bathroom\n", "options": ["I didn't place the plums in the porch", "I place the plums in the porch", "I place the corns in the porch", "the plums are in the porch"], "correct answer": "I didn't place the plums in the porch", "id": "1735"}
+{"pretext": "Speaker_1: where is the celery\nSpeaker_2: Amelia said there is a red pantry in the workshop\nSpeaker_1: what about the corn\nSpeaker_2: Isabella said she put the corn in the crawlspace and travelled to the kitchen\nSpeaker_1: how about the bananas\nSpeaker_2: there is a blue treasure chest in the workshop\nSpeaker_1: did Aria place the bananas there\nSpeaker_2: she placed them there and walked to the crawlspace\nSpeaker_1: are some of them in the workshop\nSpeaker_2: two bananas are in the workshop\nSpeaker_1: where can I get the grapes\nSpeaker_2: the grapes are in the kitchen\nSpeaker_1: are some of them there\nSpeaker_2: I left all of them there\nSpeaker_1: are all the asparagus in the TV_room\nSpeaker_2: some are in the TV_room\nSpeaker_1: are some of the potatoes in the crawlspace\nSpeaker_2: Aria said she put four there\nSpeaker_1: did she leave the asparagus in the crawlspace\nSpeaker_2: no, she didn't\n", "options": ["I leave the potatoes in the crawlspace", "Aria leave the asparagus in the crawlspace", "Aria didn't leave the asparagus in the crawlspace", "I don't know if Aria leave the asparagus in the crawlspace"], "correct answer": "Aria didn't leave the asparagus in the crawlspace", "id": "704"}
+{"pretext": "Speaker_1: how can I find Lily\nSpeaker_2: I know she didn't went to the study\nSpeaker_1: did she go to the patio \nSpeaker_2: yes\nSpeaker_1: where did you go\nSpeaker_2: I journeyed to the patio and the sunroom\nSpeaker_1: are some of the beans in the patio\nSpeaker_2: three beans are in the patio\nSpeaker_1: did you leave them there\nSpeaker_2: I left them there and travelled to the sunroom\n", "options": ["I didn't leave the beans in the patio", "I left the beans in the patio and then travelled to the sunroom", "the beans are in the patio", "I leave the beans in the patio"], "correct answer": "I left the beans in the patio and then travelled to the sunroom", "id": "1236"}

task_5/dev.jsonl

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+{"pretext": "Speaker_1: The chemicals were as explosive as 1000 grenades\nSpeaker_2: The chemicals were not very volatile", "options": ["Agrees", "Disagrees"], "correct answer": "Disagrees", "id": "541"}
+{"pretext": "Speaker_1: I'm as impartial as an umpire\nSpeaker_2: I'm impartial", "options": ["Agrees", "Disagrees"], "correct answer": "Agrees", "id": "1652"}
+{"pretext": "Speaker_1: The pug was lightning in dog form.\nSpeaker_2: The dog has a ton of energy.", "options": ["Agrees", "Disagrees"], "correct answer": "Agrees", "id": "88"}
+{"pretext": "Speaker_1: The waiting room was no different than a library at midnight\nSpeaker_2: The waiting room was empty and barely had any people", "options": ["Agrees", "Disagrees"], "correct answer": "Agrees", "id": "1494"}
+{"pretext": "Speaker_1: Her dress was as elegant as a dumpster on fire.\nSpeaker_2: Her dress was elegant.", "options": ["Agrees", "Disagrees"], "correct answer": "Disagrees", "id": "940"}

task_6/dev.jsonl

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+{"pretext": "Speaker_1: The link was very useful\nSpeaker_2: Of course, The link in the email was as helpful as An offer from Hulu for 99 cents for a year", "options": ["Agrees", "Sarcastic"], "correct answer": "Agrees", "id": "1098"}
+{"pretext": "Speaker_1: The report was detailed, in depth, and very comprehensive\nSpeaker_2: Of course, The report was a comprehensive as a coloring book", "options": ["Agrees", "Sarcastic"], "correct answer": "Sarcastic", "id": "255"}
+{"pretext": "Speaker_1: His sacrifice was very bold\nSpeaker_2: Yeah, His sacrifice showed he had a heart like a mouse", "options": ["Agrees", "Sarcastic"], "correct answer": "Sarcastic", "id": "1992"}
+{"pretext": "Speaker_1: the blood was light\nSpeaker_2: True, His blood was darker than midnight", "options": ["Agrees", "Sarcastic"], "correct answer": "Sarcastic", "id": "1888"}
+{"pretext": "Speaker_1: The car is very, very loud\nSpeaker_2: Yes, That car is about as loud as WW2 tank", "options": ["Agrees", "Sarcastic"], "correct answer": "Agrees", "id": "775"}

task_7/dev.jsonl

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+{"pretext": "Sentence : You've got to get a grip.", "options": ["You need to get control of yourself and your emotions.", "You need to let go of yourself and your emotions."], "correct answer": "You need to get control of yourself and your emotions.", "id": "161"}
+{"pretext": "Sentence : How can we build a \u2019Global economy\u2019 if finance is handcuffed?", "options": ["Since finances are restricted by economics, how can we become part of global economy?", "How can we build a \u2019Global economy\u2019 if finance is free?"], "correct answer": "Since finances are restricted by economics, how can we become part of global economy?", "id": "1130"}
+{"pretext": "Sentence : Until the rest of you wake up and smell the coffee, someone has to keep an eye on what goes on up here at the institute.", "options": ["Until you all start paying attention to what is happening, someone has to keep an eye on what goes on up here at the institute.", "Even though nobody is paying attention to what is happening, someone has to keep an eye on what goes on up here at the institute."], "correct answer": "Until you all start paying attention to what is happening, someone has to keep an eye on what goes on up here at the institute.", "id": "600"}
+{"pretext": "Sentence : Her leg was as hairy as a baby's bottom", "options": ["Her leg was hairy", "Her leg was smooth"], "correct answer": "Her leg was smooth", "id": "1698"}
+{"pretext": "Sentence : Every so often a peak could be seen like a granite tooth stabbing the sky.", "options": ["There were tall and bladed peaks that could be seen every so often.", "There were small and rounded peaks that could be seen every so often."], "correct answer": "There were tall and bladed peaks that could be seen every so often.", "id": "1287"}

task_8/dev.jsonl

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+{"pretext": "Sentence : All was like a winter morning after it had snowed all night.\nHint : A winter morning is silent and white because of the snow.", "options": ["All was loud and colorful", "All was silent and white"], "correct answer": "All was silent and white", "id": "1266"}
+{"pretext": "Sentence : The game is as fun as a grey park\nHint : A grey park is a dull, uninteresting place - in other words, it is boring.", "options": ["The game is fun", "The game is boring"], "correct answer": "The game is boring", "id": "1764"}
+{"pretext": "Sentence : He was in a black mood.\nHint : Being in a black mood means being in a bad angry mood.", "options": ["He was happy and jolly.", "He kept on being very miserable, irritated, and angry."], "correct answer": "He kept on being very miserable, irritated, and angry.", "id": "740"}
+{"pretext": "Sentence : they never mentioned being germans.\nHint : This is a metaphor meaning that the person was never upfront about their nationality and kept it hidden.", "options": ["They never said that they are germans.", "They were always upfront that they are germans."], "correct answer": "They never said that they are germans.", "id": "1182"}
+{"pretext": "Sentence : You couldn't order right off the top of your head in a dennys.\nHint : To order off the top of your head means to do it from memory or without much consideration, so in this context it would mean ordering without giving it much thought.", "options": ["You couldn't order right in a dennys immediately and without thinking .", "You couldn't order right in a dennys after giving it some thought and consideration ."], "correct answer": "You couldn't order right in a dennys immediately and without thinking .", "id": "393"}

task_9/dev.jsonl

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+{"pretext": "Sentence : Joe, after being pushed and nudged, rolls his cold crampy body, like a a memfoam mattress, into a sitting position.\nHint : A mattress is hard to move or carry, hence it is unwiedly and not nimble", "options": ["Joe, after being pushed and nudged, rolls his cold crampy body nimbly.", "Joe, after being pushed and nudged, rolls his cold crampy body unwieldy"], "correct answer": "Joe, after being pushed and nudged, rolls his cold crampy body unwieldy", "id": "1442"}
+{"pretext": "Sentence : As gandalf always says, when in doubt, peregrin took, follow your nose.\nHint : To follow your nose means to trust one's instinct, but in this sentence Peregrin ignored his instincts", "options": ["As gandalf always says, when in doubt, peregrin took, ignored his instincts and went against his gut feeling.", "As gandalf always says, when in doubt, peregrin took, trusted his instincts and went with his gut feeling."], "correct answer": "As gandalf always says, when in doubt, peregrin took, trusted his instincts and went with his gut feeling.", "id": "142"}
+{"pretext": "Sentence : That's chicken feed.\nHint : Chicken feed refers to a very small or minuscule amount of money, but this sentence refers to a lot of money.", "options": ["That's peanuts.", "That's a lot of money."], "correct answer": "That's peanuts.", "id": "93"}
+{"pretext": "Sentence : The demons were closing in, but I was like an old man on a park bench, feeding pigeons on a warm summer afternoon.\nHint : An old man on a park bench, feeding pigeons on a warm summer afternoon remains  is typically someone who is calm and not frantic", "options": ["Even though the demons were closing in, I remained calm.", "Even though the demons were closing in, I became frantic."], "correct answer": "Even though the demons were closing in, I remained calm.", "id": "1354"}
+{"pretext": "Sentence : The slight pinch was a slow but sure reminder.\nHint : To be slow but sure means to be gradual but yielding steady dependable progress, but in this context the reminder was fast and fleeting", "options": ["The slight pinch was a gradual and certain reminder.", "The slight pinch was a fast and fleeting reminder."], "correct answer": "The slight pinch was a gradual and certain reminder.", "id": "466"}