Convert dataset to Parquet (#1)

- Convert dataset to Parquet (36471f8a5a80cf860a274d22d0d6cca3ff595911)
- Add 'all' config data files (aace3a09647ce9bc4681c7d1fdfb552b4aac6791)
- Add 'black' config data files (2a8cd1f1e84550d891f930168a34d81e2a242335)
- Add 'christian' config data files (b8047d64d15f0e4d4e1dfab0beadac8bebbee5b5)
- Add 'female' config data files (0c1b4b42ffd70a7df3ea02c7971cb7e81df0c14e)
- Add 'male' config data files (d791f1268b994e96b4853b34092e4fbc60b6ef70)
- Add 'muslim' config data files (520ceb0876fe426c7537b11b8d0e948b9e7bc2c2)
- Add 'other_religions' config data files (62b16d632a2d9e4fe42cbf9e68b40994793c5a59)
- Add 'white' config data files (f332b50a48a2430faae9fac7a76c165354e88af3)
- Delete loading script (dcfbab0af6dbbdcde896b762487ca03e56b7f4ee)
- Delete data file (49869c8d76d099369a0aa7c4f923897818f31d7c)
- Delete data file (5b8bf9823914d37c121b77af0dc3df0737f036be)
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LGBTQ/test-00000-of-00001.parquet

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+oid sha256:d3c9dfbbf8bb4cb0bebcca5d779e164920ae1ffc6af61898820dba41d4fe9402
+size 1387951

LGBTQ/train-00000-of-00001.parquet

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+size 2718125

README.md

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+---
+dataset_info:
+- config_name: LGBTQ
+  features:
+  - name: text
+    dtype: string
+  - name: gold
+    dtype: string
+  - name: sub_split
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 4307730
+    num_examples: 8420
+  - name: test
+    num_bytes: 2200765
+    num_examples: 4426
+  download_size: 4106076
+  dataset_size: 6508495
+- config_name: all
+  features:
+  - name: text
+    dtype: string
+  - name: gold
+    dtype: string
+  - name: sub_split
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 101801286
+    num_examples: 269038
+  - name: test
+    num_bytes: 50225172
+    num_examples: 133782
+  download_size: 98027803
+  dataset_size: 152026458
+- config_name: black
+  features:
+  - name: text
+    dtype: string
+  - name: gold
+    dtype: string
+  - name: sub_split
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 5195682
+    num_examples: 9896
+  - name: test
+    num_bytes: 2554193
+    num_examples: 4872
+  download_size: 4932053
+  dataset_size: 7749875
+- config_name: christian
+  features:
+  - name: text
+    dtype: string
+  - name: gold
+    dtype: string
+  - name: sub_split
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 14678468
+    num_examples: 26738
+  - name: test
+    num_bytes: 7218223
+    num_examples: 13361
+  download_size: 13846950
+  dataset_size: 21896691
+- config_name: female
+  features:
+  - name: text
+    dtype: string
+  - name: gold
+    dtype: string
+  - name: sub_split
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 18002457
+    num_examples: 36244
+  - name: test
+    num_bytes: 8200356
+    num_examples: 16449
+  download_size: 16838750
+  dataset_size: 26202813
+- config_name: male
+  features:
+  - name: text
+    dtype: string
+  - name: gold
+    dtype: string
+  - name: sub_split
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 14076742
+    num_examples: 29810
+  - name: test
+    num_bytes: 6668376
+    num_examples: 14295
+  download_size: 13358422
+  dataset_size: 20745118
+- config_name: muslim
+  features:
+  - name: text
+    dtype: string
+  - name: gold
+    dtype: string
+  - name: sub_split
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 6789851
+    num_examples: 13954
+  - name: test
+    num_bytes: 3372534
+    num_examples: 6982
+  download_size: 6422814
+  dataset_size: 10162385
+- config_name: other_religions
+  features:
+  - name: text
+    dtype: string
+  - name: gold
+    dtype: string
+  - name: sub_split
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 3533154
+    num_examples: 6544
+  - name: test
+    num_bytes: 1869205
+    num_examples: 3500
+  download_size: 3453436
+  dataset_size: 5402359
+- config_name: white
+  features:
+  - name: text
+    dtype: string
+  - name: gold
+    dtype: string
+  - name: sub_split
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 8010252
+    num_examples: 16698
+  - name: test
+    num_bytes: 3895951
+    num_examples: 7969
+  download_size: 7557355
+  dataset_size: 11906203
+configs:
+- config_name: LGBTQ
+  data_files:
+  - split: train
+    path: LGBTQ/train-*
+  - split: test
+    path: LGBTQ/test-*
+- config_name: all
+  data_files:
+  - split: train
+    path: all/train-*
+  - split: test
+    path: all/test-*
+- config_name: black
+  data_files:
+  - split: train
+    path: black/train-*
+  - split: test
+    path: black/test-*
+- config_name: christian
+  data_files:
+  - split: train
+    path: christian/train-*
+  - split: test
+    path: christian/test-*
+- config_name: female
+  data_files:
+  - split: train
+    path: female/train-*
+  - split: test
+    path: female/test-*
+- config_name: male
+  data_files:
+  - split: train
+    path: male/train-*
+  - split: test
+    path: male/test-*
+- config_name: muslim
+  data_files:
+  - split: train
+    path: muslim/train-*
+  - split: test
+    path: muslim/test-*
+- config_name: other_religions
+  data_files:
+  - split: train
+    path: other_religions/train-*
+  - split: test
+    path: other_religions/test-*
+- config_name: white
+  data_files:
+  - split: train
+    path: white/train-*
+  - split: test
+    path: white/test-*
+---

all/test-00000-of-00001.parquet

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+size 32381087

all/train-00000-of-00001.parquet

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black/test-00000-of-00001.parquet

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black/train-00000-of-00001.parquet

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christian/test-00000-of-00001.parquet

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christian/train-00000-of-00001.parquet

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+size 9285518

civil_comments_helm.py

@@ -1,75 +0,0 @@
-import datasets
-import os
-import json
-
-
-categories = ["male", "female", "LGBTQ", "christian", "muslim", "other_religions", "black", "white", "all"]
-
-_CITATION = """
-        @inproceedings{wilds2021,
-            title = {{WILDS}: A Benchmark of in-the-Wild Distribution Shifts},
-            author = {Pang Wei Koh and Shiori Sagawa and Henrik Marklund and Sang Michael Xie and Marvin Zhang and
-            Akshay Balsubramani and Weihua Hu and Michihiro Yasunaga and Richard Lanas Phillips and Irena Gao and
-            Tony Lee and Etienne David and Ian Stavness and Wei Guo and Berton A. Earnshaw and Imran S. Haque and
-            Sara Beery and Jure Leskovec and Anshul Kundaje and Emma Pierson and Sergey Levine and Chelsea Finn
-            and Percy Liang},
-            booktitle = {International Conference on Machine Learning (ICML)},
-            year = {2021}
-        }
-
-        @inproceedings{borkan2019nuanced,
-            title={Nuanced metrics for measuring unintended bias with real data for text classification},
-            author={Borkan, Daniel and Dixon, Lucas and Sorensen, Jeffrey and Thain, Nithum and Vasserman, Lucy},
-            booktitle={Companion Proceedings of The 2019 World Wide Web Conference},
-            pages={491--500},
-            year={2019}
-        }"""
-
-class CivilCommentsHELM(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=name, version=datasets.Version("1.0.0"), description="")
-            for name in categories
-        ]
-
-    #"references": [{"output": "The gay couple", "tags": ["negative", "ambiguous", "B", "A", "C", "B"]}, {"output": "Not enough info", "tags": ["correct", "negative", "ambiguous", "B", "A", "C", "B"]}, {"output": "The pansexual couple", "tags": ["negative", "ambiguous", "B", "A", "C", "B"]}], "choices": ["The gay couple", "Not enough info", "The pansexual couple"], "gold_index": 1}
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "text": datasets.Value("string"),
-                "gold": datasets.Value("string"),
-                "sub_split": datasets.Value("string"),
-
-            }
-        )
-        return datasets.DatasetInfo(
-            description=f"Civil comments, as preprocessed and shuffled in HELM",
-            features=features,
-            homepage="",
-            license="",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        train_json = dl_manager.download(os.path.join(self.config.name, "train.json"))
-        test_json = dl_manager.download(os.path.join(self.config.name, "test.json"))
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"path": train_json},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"path": test_json},
-            )
-        ]
-
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, path):
-        with open(path, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                yield key, json.loads(row)
-

female/test-00000-of-00001.parquet

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female/train-00000-of-00001.parquet

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male/test-00000-of-00001.parquet

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male/train-00000-of-00001.parquet

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muslim/test-00000-of-00001.parquet

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muslim/train-00000-of-00001.parquet

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other_religions/test-00000-of-00001.parquet

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other_religions/train-00000-of-00001.parquet

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white/test-00000-of-00001.parquet

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white/train-00000-of-00001.parquet

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