Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -1,5 +1,4 @@
 ---
-pretty_name: ROPES
 annotations_creators:
 - crowdsourced
 language_creators:
@@ -21,7 +20,9 @@ task_categories:
 task_ids:
 - extractive-qa
 paperswithcode_id: ropes
+pretty_name: ROPES
 dataset_info:
+  config_name: plain_text
   features:
   - name: id
     dtype: string
@@ -35,19 +36,28 @@ dataset_info:
     sequence:
     - name: text
       dtype: string
-  config_name: plain_text
   splits:
   - name: train
-    num_bytes: 12231940
+    num_bytes: 12231892
     num_examples: 10924
   - name: test
-    num_bytes: 1928532
+    num_bytes: 1928508
     num_examples: 1710
   - name: validation
-    num_bytes: 1643498
+    num_bytes: 1643474
     num_examples: 1688
-  download_size: 3516917
-  dataset_size: 15803970
+  download_size: 1372548
+  dataset_size: 15803874
+configs:
+- config_name: plain_text
+  data_files:
+  - split: train
+    path: plain_text/train-*
+  - split: test
+    path: plain_text/test-*
+  - split: validation
+    path: plain_text/validation-*
+  default: true
 ---
 
 # Dataset Card for ROPES

dataset_infos.json

@@ -1 +1,67 @@
-{"plain_text": {"description": "ROPES (Reasoning Over Paragraph Effects in Situations) is a QA dataset\nwhich tests a system's ability to apply knowledge from a passage\nof text to a new situation. A system is presented a background\npassage containing a causal or qualitative relation(s) (e.g.,\n\"animal pollinators increase efficiency of fertilization in flowers\"),\na novel situation that uses this background, and questions that require\nreasoning about effects of the relationships in the background\npassage in the background of the situation.\n", "citation": "@inproceedings{Lin2019ReasoningOP,\n  title={Reasoning Over Paragraph Effects in Situations},\n  author={Kevin Lin and Oyvind Tafjord and Peter Clark and Matt Gardner},\n  booktitle={MRQA@EMNLP},\n  year={2019}\n}\n", "homepage": "https://allenai.org/data/ropes", "license": "CC BY 4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "background": {"dtype": "string", "id": null, "_type": "Value"}, "situation": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ropes", "config_name": "plain_text", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 12231940, "num_examples": 10924, "dataset_name": "ropes"}, "test": {"name": "test", "num_bytes": 1928532, "num_examples": 1710, "dataset_name": "ropes"}, "validation": {"name": "validation", "num_bytes": 1643498, "num_examples": 1688, "dataset_name": "ropes"}}, "download_checksums": {"https://ropes-dataset.s3-us-west-2.amazonaws.com/train_and_dev/ropes-train-dev-v1.0.tar.gz": {"num_bytes": 3395072, "checksum": "ba26329832f84d8c2660de1120a1d7ff086cdf8580eabeebd721c092020763e2"}, "https://ropes-dataset.s3-us-west-2.amazonaws.com/test/ropes-test-questions-v1.0.tar.gz": {"num_bytes": 121845, "checksum": "a489b9d0c0f2bcf495f6eab089ba4915e7832dc656237b40497acdccb8a45f95"}}, "download_size": 3516917, "post_processing_size": null, "dataset_size": 15803970, "size_in_bytes": 19320887}}
+{
+    "plain_text": {
+        "description": "ROPES (Reasoning Over Paragraph Effects in Situations) is a QA dataset\nwhich tests a system's ability to apply knowledge from a passage\nof text to a new situation. A system is presented a background\npassage containing a causal or qualitative relation(s) (e.g.,\n\"animal pollinators increase efficiency of fertilization in flowers\"),\na novel situation that uses this background, and questions that require\nreasoning about effects of the relationships in the background\npassage in the background of the situation.\n",
+        "citation": "@inproceedings{Lin2019ReasoningOP,\n  title={Reasoning Over Paragraph Effects in Situations},\n  author={Kevin Lin and Oyvind Tafjord and Peter Clark and Matt Gardner},\n  booktitle={MRQA@EMNLP},\n  year={2019}\n}\n",
+        "homepage": "https://allenai.org/data/ropes",
+        "license": "CC BY 4.0",
+        "features": {
+            "id": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "background": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "situation": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "question": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "answers": {
+                "feature": {
+                    "text": {
+                        "dtype": "string",
+                        "_type": "Value"
+                    }
+                },
+                "_type": "Sequence"
+            }
+        },
+        "builder_name": "ropes",
+        "dataset_name": "ropes",
+        "config_name": "plain_text",
+        "version": {
+            "version_str": "1.1.0",
+            "major": 1,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 12231892,
+                "num_examples": 10924,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 1928508,
+                "num_examples": 1710,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 1643474,
+                "num_examples": 1688,
+                "dataset_name": null
+            }
+        },
+        "download_size": 1372548,
+        "dataset_size": 15803874,
+        "size_in_bytes": 17176422
+    }
+}

plain_text/test-00000-of-00001.parquet

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+size 199757

plain_text/train-00000-of-00001.parquet

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plain_text/validation-00000-of-00001.parquet

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