Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -24,6 +24,10 @@ task_ids:
 - multi-input-text-classification
 paperswithcode_id: paws
 pretty_name: 'PAWS: Paraphrase Adversaries from Word Scrambling'
+config_names:
+- labeled_final
+- labeled_swap
+- unlabeled_final
 tags:
 - paraphrase-identification
 dataset_info:
@@ -43,16 +47,16 @@ dataset_info:
           '1': '1'
   splits:
   - name: train
-    num_bytes: 12239978
+    num_bytes: 12239938
     num_examples: 49401
   - name: test
-    num_bytes: 1987802
+    num_bytes: 1987794
     num_examples: 8000
   - name: validation
-    num_bytes: 1975870
+    num_bytes: 1975862
     num_examples: 8000
-  download_size: 4687157
-  dataset_size: 16203650
+  download_size: 10899391
+  dataset_size: 16203594
 - config_name: labeled_swap
   features:
   - name: id
@@ -96,10 +100,15 @@ dataset_info:
     num_examples: 10000
   download_size: 47393331
   dataset_size: 160249169
-config_names:
-- labeled_final
-- labeled_swap
-- unlabeled_final
+configs:
+- config_name: labeled_final
+  data_files:
+  - split: train
+    path: labeled_final/train-*
+  - split: test
+    path: labeled_final/test-*
+  - split: validation
+    path: labeled_final/validation-*
 ---
 
 # Dataset Card for PAWS: Paraphrase Adversaries from Word Scrambling

dataset_infos.json

@@ -1 +1,192 @@
-{"labeled_final": {"description": "PAWS: Paraphrase Adversaries from Word Scrambling\n\nThis dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature\nthe importance of modeling structure, context, and word order information for the problem\nof paraphrase identification. The dataset has two subsets, one based on Wikipedia and the\nother one based on the Quora Question Pairs (QQP) dataset.\n\nFor further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling\n(https://arxiv.org/abs/1904.01130)\n\nPAWS-QQP is not available due to license of QQP. It must be reconstructed by downloading the original\ndata and then running our scripts to produce the data and attach the labels.\n\nNOTE: There might be some missing or wrong labels in the dataset and we have replaced them with -1.\n", "citation": "@InProceedings{paws2019naacl,\n  title = {{PAWS: Paraphrase Adversaries from Word Scrambling}},\n  author = {Zhang, Yuan and Baldridge, Jason and He, Luheng},\n  booktitle = {Proc. of NAACL},\n  year = {2019}\n}\n", "homepage": "https://github.com/google-research-datasets/paws", "license": "The dataset may be freely used for any purpose, although acknowledgement of Google LLC (\"Google\") as the data source would be appreciated. The dataset is provided \"AS IS\" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "paws", "config_name": "labeled_final", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 12239978, "num_examples": 49401, "dataset_name": "paws"}, "test": {"name": "test", "num_bytes": 1987802, "num_examples": 8000, "dataset_name": "paws"}, "validation": {"name": "validation", "num_bytes": 1975870, "num_examples": 8000, "dataset_name": "paws"}}, "download_checksums": {"https://storage.googleapis.com/paws/english/paws_wiki_labeled_final.tar.gz": {"num_bytes": 4687157, "checksum": "1aad6cbb8a90b15563a0c154752c2b2c8e3bc5bdaa125172214d598bc76bc9fd"}}, "download_size": 4687157, "post_processing_size": null, "dataset_size": 16203650, "size_in_bytes": 20890807}, "labeled_swap": {"description": "PAWS: Paraphrase Adversaries from Word Scrambling\n\nThis dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature\nthe importance of modeling structure, context, and word order information for the problem\nof paraphrase identification. The dataset has two subsets, one based on Wikipedia and the\nother one based on the Quora Question Pairs (QQP) dataset.\n\nFor further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling\n(https://arxiv.org/abs/1904.01130)\n\nPAWS-QQP is not available due to license of QQP. It must be reconstructed by downloading the original\ndata and then running our scripts to produce the data and attach the labels.\n\nNOTE: There might be some missing or wrong labels in the dataset and we have replaced them with -1.\n", "citation": "@InProceedings{paws2019naacl,\n  title = {{PAWS: Paraphrase Adversaries from Word Scrambling}},\n  author = {Zhang, Yuan and Baldridge, Jason and He, Luheng},\n  booktitle = {Proc. of NAACL},\n  year = {2019}\n}\n", "homepage": "https://github.com/google-research-datasets/paws", "license": "The dataset may be freely used for any purpose, although acknowledgement of Google LLC (\"Google\") as the data source would be appreciated. The dataset is provided \"AS IS\" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "paws", "config_name": "labeled_swap", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7963651, "num_examples": 30397, "dataset_name": "paws"}}, "download_checksums": {"https://storage.googleapis.com/paws/english/paws_wiki_labeled_swap.tar.gz": {"num_bytes": 2257283, "checksum": "886ddb2f7f7499b2f64d260956ebbd6e14fc436eadac56cdbb966831b00d7861"}}, "download_size": 2257283, "post_processing_size": null, "dataset_size": 7963651, "size_in_bytes": 10220934}, "unlabeled_final": {"description": "PAWS: Paraphrase Adversaries from Word Scrambling\n\nThis dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature\nthe importance of modeling structure, context, and word order information for the problem\nof paraphrase identification. The dataset has two subsets, one based on Wikipedia and the\nother one based on the Quora Question Pairs (QQP) dataset.\n\nFor further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling\n(https://arxiv.org/abs/1904.01130)\n\nPAWS-QQP is not available due to license of QQP. It must be reconstructed by downloading the original\ndata and then running our scripts to produce the data and attach the labels.\n\nNOTE: There might be some missing or wrong labels in the dataset and we have replaced them with -1.\n", "citation": "@InProceedings{paws2019naacl,\n  title = {{PAWS: Paraphrase Adversaries from Word Scrambling}},\n  author = {Zhang, Yuan and Baldridge, Jason and He, Luheng},\n  booktitle = {Proc. of NAACL},\n  year = {2019}\n}\n", "homepage": "https://github.com/google-research-datasets/paws", "license": "The dataset may be freely used for any purpose, although acknowledgement of Google LLC (\"Google\") as the data source would be appreciated. The dataset is provided \"AS IS\" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "paws", "config_name": "unlabeled_final", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 157806996, "num_examples": 645652, "dataset_name": "paws"}, "validation": {"name": "validation", "num_bytes": 2442173, "num_examples": 10000, "dataset_name": "paws"}}, "download_checksums": {"https://storage.googleapis.com/paws/english/paws_wiki_unlabeled_final.tar.gz": {"num_bytes": 47393331, "checksum": "c70222d390ece5218e397b3ea4b3797212ffe945fe1eae088fa6cb317c2ca3c6"}}, "download_size": 47393331, "post_processing_size": null, "dataset_size": 160249169, "size_in_bytes": 207642500}}
+{
+    "labeled_final": {
+        "description": "PAWS: Paraphrase Adversaries from Word Scrambling\n\nThis dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature\nthe importance of modeling structure, context, and word order information for the problem\nof paraphrase identification. The dataset has two subsets, one based on Wikipedia and the\nother one based on the Quora Question Pairs (QQP) dataset.\n\nFor further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling\n(https://arxiv.org/abs/1904.01130)\n\nPAWS-QQP is not available due to license of QQP. It must be reconstructed by downloading the original\ndata and then running our scripts to produce the data and attach the labels.\n\nNOTE: There might be some missing or wrong labels in the dataset and we have replaced them with -1.\n",
+        "citation": "@InProceedings{paws2019naacl,\n  title = {{PAWS: Paraphrase Adversaries from Word Scrambling}},\n  author = {Zhang, Yuan and Baldridge, Jason and He, Luheng},\n  booktitle = {Proc. of NAACL},\n  year = {2019}\n}\n",
+        "homepage": "https://github.com/google-research-datasets/paws",
+        "license": "The dataset may be freely used for any purpose, although acknowledgement of Google LLC (\"Google\") as the data source would be appreciated. The dataset is provided \"AS IS\" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.",
+        "features": {
+            "id": {
+                "dtype": "int32",
+                "_type": "Value"
+            },
+            "sentence1": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "sentence2": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "label": {
+                "names": [
+                    "0",
+                    "1"
+                ],
+                "_type": "ClassLabel"
+            }
+        },
+        "builder_name": "paws",
+        "dataset_name": "paws",
+        "config_name": "labeled_final",
+        "version": {
+            "version_str": "1.1.0",
+            "description": "",
+            "major": 1,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 12239938,
+                "num_examples": 49401,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 1987794,
+                "num_examples": 8000,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 1975862,
+                "num_examples": 8000,
+                "dataset_name": null
+            }
+        },
+        "download_size": 10899391,
+        "dataset_size": 16203594,
+        "size_in_bytes": 27102985
+    },
+    "labeled_swap": {
+        "description": "PAWS: Paraphrase Adversaries from Word Scrambling\n\nThis dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature\nthe importance of modeling structure, context, and word order information for the problem\nof paraphrase identification. The dataset has two subsets, one based on Wikipedia and the\nother one based on the Quora Question Pairs (QQP) dataset.\n\nFor further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling\n(https://arxiv.org/abs/1904.01130)\n\nPAWS-QQP is not available due to license of QQP. It must be reconstructed by downloading the original\ndata and then running our scripts to produce the data and attach the labels.\n\nNOTE: There might be some missing or wrong labels in the dataset and we have replaced them with -1.\n",
+        "citation": "@InProceedings{paws2019naacl,\n  title = {{PAWS: Paraphrase Adversaries from Word Scrambling}},\n  author = {Zhang, Yuan and Baldridge, Jason and He, Luheng},\n  booktitle = {Proc. of NAACL},\n  year = {2019}\n}\n",
+        "homepage": "https://github.com/google-research-datasets/paws",
+        "license": "The dataset may be freely used for any purpose, although acknowledgement of Google LLC (\"Google\") as the data source would be appreciated. The dataset is provided \"AS IS\" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.",
+        "features": {
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+            "description": "",
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+                "num_examples": 30397,
+                "dataset_name": "paws"
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+                "checksum": "886ddb2f7f7499b2f64d260956ebbd6e14fc436eadac56cdbb966831b00d7861"
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+        "dataset_size": 7963651,
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+    "unlabeled_final": {
+        "description": "PAWS: Paraphrase Adversaries from Word Scrambling\n\nThis dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature\nthe importance of modeling structure, context, and word order information for the problem\nof paraphrase identification. The dataset has two subsets, one based on Wikipedia and the\nother one based on the Quora Question Pairs (QQP) dataset.\n\nFor further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling\n(https://arxiv.org/abs/1904.01130)\n\nPAWS-QQP is not available due to license of QQP. It must be reconstructed by downloading the original\ndata and then running our scripts to produce the data and attach the labels.\n\nNOTE: There might be some missing or wrong labels in the dataset and we have replaced them with -1.\n",
+        "citation": "@InProceedings{paws2019naacl,\n  title = {{PAWS: Paraphrase Adversaries from Word Scrambling}},\n  author = {Zhang, Yuan and Baldridge, Jason and He, Luheng},\n  booktitle = {Proc. of NAACL},\n  year = {2019}\n}\n",
+        "homepage": "https://github.com/google-research-datasets/paws",
+        "license": "The dataset may be freely used for any purpose, although acknowledgement of Google LLC (\"Google\") as the data source would be appreciated. The dataset is provided \"AS IS\" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.",
+        "features": {
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+                "id": null,
+                "_type": "Value"
+            },
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+                "_type": "Value"
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+        "builder_name": "paws",
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+                "dataset_name": "paws"
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+                "num_examples": 10000,
+                "dataset_name": "paws"
+            }
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+        },
+        "download_size": 47393331,
+        "post_processing_size": null,
+        "dataset_size": 160249169,
+        "size_in_bytes": 207642500
+    }
+}

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