Convert dataset to Parquet (#4)

- Convert dataset to Parquet (9e0c67f3b7d6ced3f046bdbfe0ac73adc7d959f3)
- Add de data files (3c73f12e84da1aff87c075e4500711674a6536f1)
- Add es data files (b49e898c03ce5909dca10138964f1b800349d950)
- Add fr data files (3f95be421e1fe5480b7e60b778ae68ef356085df)
- Add it data files (78fdc9620022811bc95e860f2e31d622c52b3ec1)
- Add nl data files (9cbac5467efc675109af73451a11c09955f502d1)
- Add pl data files (6f5dbbb4c9aa98ff36ed9d5d817d979f6c81abfa)
- Add pt data files (c7b6e43307cc7c1d5ad58bf7dc8df5e07c3322cc)
- Add ru data files (4a03f1278b9f130a8c5153b664d2e68e71028137)
- Add zh data files (4972d53767d645e89439ee98ccc70e8d592d2cc2)
- Delete loading script (beaba5b8f2571f0d9f561bdcee2d2e3d1e681c12)
- Delete legacy dataset_infos.json (be3cd1f32e6be0659a263c7c8c383e54378ab30e)

README.md

@@ -29,10 +29,9 @@ task_categories:
 task_ids:
 - text-scoring
 - semantic-similarity-scoring
-paperswithcode_id: null
 pretty_name: STSb Multi MT
 dataset_info:
-- config_name: en
+- config_name: de
   features:
   - name: sentence1
     dtype: string
@@ -42,17 +41,17 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 731803
+    num_bytes: 867465
     num_examples: 5749
   - name: test
-    num_bytes: 164466
+    num_bytes: 193325
     num_examples: 1379
   - name: dev
-    num_bytes: 210072
+    num_bytes: 247069
     num_examples: 1500
-  download_size: 1072429
-  dataset_size: 1106341
-- config_name: de
+  download_size: 823156
+  dataset_size: 1307859
+- config_name: en
   features:
   - name: sentence1
     dtype: string
@@ -62,16 +61,16 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 867473
+    num_bytes: 731795
     num_examples: 5749
   - name: test
-    num_bytes: 193333
+    num_bytes: 164458
     num_examples: 1379
   - name: dev
-    num_bytes: 247077
+    num_bytes: 210064
     num_examples: 1500
-  download_size: 1279173
-  dataset_size: 1307883
+  download_size: 720594
+  dataset_size: 1106317
 - config_name: es
   features:
   - name: sentence1
@@ -82,16 +81,16 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 887101
+    num_bytes: 887093
     num_examples: 5749
   - name: test
-    num_bytes: 194616
+    num_bytes: 194608
     num_examples: 1379
   - name: dev
-    num_bytes: 245250
+    num_bytes: 245242
     num_examples: 1500
-  download_size: 1294160
-  dataset_size: 1326967
+  download_size: 803220
+  dataset_size: 1326943
 - config_name: fr
   features:
   - name: sentence1
@@ -102,16 +101,16 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 910195
+    num_bytes: 910187
     num_examples: 5749
   - name: test
-    num_bytes: 200446
+    num_bytes: 200438
     num_examples: 1379
   - name: dev
-    num_bytes: 254083
+    num_bytes: 254075
     num_examples: 1500
-  download_size: 1332515
-  dataset_size: 1364724
+  download_size: 828209
+  dataset_size: 1364700
 - config_name: it
   features:
   - name: sentence1
@@ -122,16 +121,16 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 871526
+    num_bytes: 871518
     num_examples: 5749
   - name: test
-    num_bytes: 191647
+    num_bytes: 191639
     num_examples: 1379
   - name: dev
-    num_bytes: 243144
+    num_bytes: 243136
     num_examples: 1500
-  download_size: 1273630
-  dataset_size: 1306317
+  download_size: 813106
+  dataset_size: 1306293
 - config_name: nl
   features:
   - name: sentence1
@@ -142,16 +141,16 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 833667
+    num_bytes: 833659
     num_examples: 5749
   - name: test
-    num_bytes: 182904
+    num_bytes: 182896
     num_examples: 1379
   - name: dev
-    num_bytes: 234887
+    num_bytes: 234879
     num_examples: 1500
-  download_size: 1217753
-  dataset_size: 1251458
+  download_size: 786341
+  dataset_size: 1251434
 - config_name: pl
   features:
   - name: sentence1
@@ -162,16 +161,16 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 828433
+    num_bytes: 828425
     num_examples: 5749
   - name: test
-    num_bytes: 181266
+    num_bytes: 181258
     num_examples: 1379
   - name: dev
-    num_bytes: 231758
+    num_bytes: 231750
     num_examples: 1500
-  download_size: 1212336
-  dataset_size: 1241457
+  download_size: 832282
+  dataset_size: 1241433
 - config_name: pt
   features:
   - name: sentence1
@@ -182,16 +181,16 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 854356
+    num_bytes: 854348
     num_examples: 5749
   - name: test
-    num_bytes: 189163
+    num_bytes: 189155
     num_examples: 1379
   - name: dev
-    num_bytes: 240559
+    num_bytes: 240551
     num_examples: 1500
-  download_size: 1251508
-  dataset_size: 1284078
+  download_size: 799737
+  dataset_size: 1284054
 - config_name: ru
   features:
   - name: sentence1
@@ -202,16 +201,16 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 1391674
+    num_bytes: 1391666
     num_examples: 5749
   - name: test
-    num_bytes: 300007
+    num_bytes: 299999
     num_examples: 1379
   - name: dev
-    num_bytes: 386268
+    num_bytes: 386260
     num_examples: 1500
-  download_size: 2051645
-  dataset_size: 2077949
+  download_size: 1088400
+  dataset_size: 2077925
 - config_name: zh
   features:
   - name: sentence1
@@ -222,16 +221,97 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 694424
+    num_bytes: 694416
     num_examples: 5749
   - name: test
-    num_bytes: 154834
+    num_bytes: 154826
     num_examples: 1379
   - name: dev
-    num_bytes: 195821
+    num_bytes: 195813
     num_examples: 1500
-  download_size: 1006892
-  dataset_size: 1045079
+  download_size: 715580
+  dataset_size: 1045055
+configs:
+- config_name: de
+  data_files:
+  - split: train
+    path: de/train-*
+  - split: test
+    path: de/test-*
+  - split: dev
+    path: de/dev-*
+- config_name: en
+  data_files:
+  - split: train
+    path: en/train-*
+  - split: test
+    path: en/test-*
+  - split: dev
+    path: en/dev-*
+- config_name: es
+  data_files:
+  - split: train
+    path: es/train-*
+  - split: test
+    path: es/test-*
+  - split: dev
+    path: es/dev-*
+- config_name: fr
+  data_files:
+  - split: train
+    path: fr/train-*
+  - split: test
+    path: fr/test-*
+  - split: dev
+    path: fr/dev-*
+- config_name: it
+  data_files:
+  - split: train
+    path: it/train-*
+  - split: test
+    path: it/test-*
+  - split: dev
+    path: it/dev-*
+- config_name: nl
+  data_files:
+  - split: train
+    path: nl/train-*
+  - split: test
+    path: nl/test-*
+  - split: dev
+    path: nl/dev-*
+- config_name: pl
+  data_files:
+  - split: train
+    path: pl/train-*
+  - split: test
+    path: pl/test-*
+  - split: dev
+    path: pl/dev-*
+- config_name: pt
+  data_files:
+  - split: train
+    path: pt/train-*
+  - split: test
+    path: pt/test-*
+  - split: dev
+    path: pt/dev-*
+- config_name: ru
+  data_files:
+  - split: train
+    path: ru/train-*
+  - split: test
+    path: ru/test-*
+  - split: dev
+    path: ru/dev-*
+- config_name: zh
+  data_files:
+  - split: train
+    path: zh/train-*
+  - split: test
+    path: zh/test-*
+  - split: dev
+    path: zh/dev-*
 ---
 
 # Dataset Card for STSb Multi MT

dataset_infos.json

@@ -1 +0,0 @@
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Translation has been done with deepl.com.\n", "citation": "@InProceedings{huggingface:dataset:stsb_multi_mt,\ntitle = {Machine translated multilingual STS benchmark dataset.},\nauthor={Philip May},\nyear={2021},\nurl={https://github.com/PhilipMay/stsb-multi-mt}\n}\n", "homepage": "https://github.com/PhilipMay/stsb-multi-mt", "license": "custom license - see project page", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "similarity_score": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "stsb_multi_mt", "config_name": "en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 731803, "num_examples": 5749, "dataset_name": "stsb_multi_mt"}, "test": {"name": "test", "num_bytes": 164466, "num_examples": 1379, "dataset_name": "stsb_multi_mt"}, "dev": {"name": "dev", "num_bytes": 210072, "num_examples": 1500, "dataset_name": "stsb_multi_mt"}}, "download_checksums": {"https://raw.githubusercontent.com/PhilipMay/stsb-multi-mt/main/data/stsb-en-train.csv": {"num_bytes": 708863, "checksum": "e1e84fec60bbb598735552f54a35f4949904a484750fd2cb11e2720e49f63da6"}, "https://raw.githubusercontent.com/PhilipMay/stsb-multi-mt/main/data/stsb-en-dev.csv": {"num_bytes": 204675, "checksum": "d29586e96558c4eb52cf5ea5d14e9c24d3bf0e44f111b017caba43a5adc33226"}, "https://raw.githubusercontent.com/PhilipMay/stsb-multi-mt/main/data/stsb-en-test.csv": {"num_bytes": 158891, "checksum": "11523b625219e94e9ca05d2816b5f02cac1614c5894fe657376fa0806378d053"}}, "download_size": 1072429, "post_processing_size": null, "dataset_size": 1106341, "size_in_bytes": 2178770}, "de": {"description": "This is a multilingual translation of the STSbenchmark dataset. 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@@ -1,196 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""These are different multilingual translations and the English original of the STSbenchmark dataset."""
-
-
-import csv
-
-import datasets
-
-
-_CITATION = """\
-@InProceedings{huggingface:dataset:stsb_multi_mt,
-title = {Machine translated multilingual STS benchmark dataset.},
-author={Philip May},
-year={2021},
-url={https://github.com/PhilipMay/stsb-multi-mt}
-}
-"""
-
-_DESCRIPTION = """\
-These are different multilingual translations and the English original of the STSbenchmark dataset. \
-Translation has been done with deepl.com.
-"""
-
-_HOMEPAGE = "https://github.com/PhilipMay/stsb-multi-mt"
-
-_LICENSE = "custom license - see project page"
-
-_BASE_URL = "https://raw.githubusercontent.com/PhilipMay/stsb-multi-mt/main/data"
-
-
-class StsbMultiMt(datasets.GeneratorBasedBuilder):
-    """These are different multilingual translations and the English original of the STSbenchmark dataset.
-
-    Translation has been done with deepl.com.
-    """
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="en",
-            version=VERSION,
-            description="This is the original English STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="de",
-            version=VERSION,
-            description="This is the German STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="es",
-            version=VERSION,
-            description="This is the Spanish STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="fr",
-            version=VERSION,
-            description="This is the French STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="it",
-            version=VERSION,
-            description="This is the Italian STS benchmark data set.",
-        ),
-        # here seems to be an issue - see https://github.com/PhilipMay/stsb-multi-mt/issues/1
-        # datasets.BuilderConfig(name="ja", version=VERSION, description="This is the Japanese STS benchmark data set."),
-        datasets.BuilderConfig(
-            name="nl",
-            version=VERSION,
-            description="This is the Dutch STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="pl",
-            version=VERSION,
-            description="This is the Polish STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="pt",
-            version=VERSION,
-            description="This is the Portuguese STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="ru",
-            version=VERSION,
-            description="This is the Russian STS benchmark data set.",
-        ),
-        datasets.BuilderConfig(
-            name="zh",
-            version=VERSION,
-            description="This is the Chinese (simplified) STS benchmark data set.",
-        ),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "sentence1": datasets.Value("string"),
-                "sentence2": datasets.Value("string"),
-                "similarity_score": datasets.Value("float"),
-            }
-        )
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage=_HOMEPAGE,
-            # License for the dataset if available
-            license=_LICENSE,
-            # Citation for the dataset
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        urls_to_download = {
-            "train": f"{_BASE_URL}/stsb-{self.config.name}-train.csv",
-            "dev": f"{_BASE_URL}/stsb-{self.config.name}-dev.csv",
-            "test": f"{_BASE_URL}/stsb-{self.config.name}-test.csv",
-        }
-        downloaded_files = dl_manager.download(urls_to_download)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": downloaded_files["train"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": downloaded_files["test"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.NamedSplit("dev"),
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": downloaded_files["dev"],
-                },
-            ),
-        ]
-
-    def _generate_examples(
-        self,
-        filepath,  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    ):
-        """Yields examples as (key, example) tuples."""
-        # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
-        # The `key` is here for legacy reason (tfds) and is not important in itself.
-        with open(filepath, newline="", encoding="utf-8") as csvfile:
-            csv_dict_reader = csv.DictReader(
-                csvfile,
-                fieldnames=["sentence1", "sentence2", "similarity_score"],
-                dialect="excel",
-            )
-            for id_, row in enumerate(csv_dict_reader):
-                # do asserts
-                assert "sentence1" in row
-                assert isinstance(row["sentence1"], str)
-                assert len(row["sentence1"].strip()) > 0
-                assert "sentence2" in row
-                assert isinstance(row["sentence2"], str)
-                assert len(row["sentence2"].strip()) > 0
-                assert "similarity_score" in row
-                assert isinstance(row["similarity_score"], str)
-                assert len(row["similarity_score"].strip()) > 0
-
-                # convert similarity_score from str to float
-                row["similarity_score"] = float(row["similarity_score"])
-
-                # do more asserts
-                assert row["similarity_score"] >= 0.0
-                assert row["similarity_score"] <= 5.0
-
-                yield id_, row

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