move zip to s3

human.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:143c9ad2f008ffc36e1ad1b85567c1e61980305af5922223384944d2fed90dde
-size 520174995

mouse_BALB_c.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a1ddbf5109598a3917e80c13491d9a6e44ac2fb0f6ae73e85a9317426f4c8c39
-size 5102176

mouse_C57BL_6.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:419efc54b5961543713f66048dee1d8944de462469ebc36ba619fcc975c7e332
-size 3428906

oas-paired-sequence-data.py

@@ -1,25 +1,9 @@
-# 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.
-# TODO: Address all TODOs and remove all explanatory comments
+#!/usr/bin/env python
+# coding=utf-8
+# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+# SPDX-License-Identifier: MIT-0
 """Paired sequences from the Observed Antibody Space database"""
-
-
 import csv
-import json
-import os
-import pandas as pd
-
 import datasets
 
 _CITATION = """\
@@ -39,11 +23,12 @@ _HOMEPAGE = "https://opig.stats.ox.ac.uk/webapps/oas/"
 
 _LICENSE = "cc-by-4.0"
 
+_BASE_URL = "https://aws-hcls-ml.s3.amazonaws.com/oas-paired-sequence-data/"
 _URLS = {
-    "human": "human.csv",
-    "rat_SD": "rat_SD.csv",
-    "mouse_BALB_c": "mouse_BALB_c.csv",
-    "mouse_C57BL_6": "mouse_C57BL_6.csv",
+    "human": _BASE_URL + "human.zip",
+    "rat_SD": _BASE_URL + "rat_SD.zip",
+    "mouse_BALB_c": _BASE_URL + "mouse_BALB_c.zip",
+    "mouse_C57BL_6": _BASE_URL + "mouse_C57BL_6.zip",
 }
 
 _FEATURES = datasets.Features(
@@ -65,10 +50,6 @@ class OasPairedSequenceData(datasets.GeneratorBasedBuilder):
     """OAS paired sequence data."""
 
     VERSION = datasets.Version("1.1.0")
-
-    # You will be able to load one or the other configurations in the following list with
-    # data = datasets.load_dataset('my_dataset', 'first_domain')
-    # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="human", version=VERSION, description="Human"),
         datasets.BuilderConfig(name="rat_SD", version=VERSION, description="rat_SD"),
@@ -90,46 +71,19 @@ class OasPairedSequenceData(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
-        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
-
-        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
-        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
-        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         urls = _URLS[self.config.name]
         data = dl_manager.download_and_extract(urls)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": data,
                     "split": "train",
                 },
             ),
-            # datasets.SplitGenerator(
-            #     name=datasets.Split.VALIDATION,
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": os.path.join(data_dir, "dev.jsonl"),
-            #         "split": "dev",
-            #     },
-            # ),
-            # datasets.SplitGenerator(
-            #     name=datasets.Split.TEST,
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": os.path.join(data_dir, "test.jsonl"),
-            #         "split": "test",
-            #     },
-            # ),
         ]
 
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath, split):
-        # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
-        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-
         with open(filepath, newline="") as f:
             reader = csv.reader(f, delimiter=",")
             for key, row in enumerate(reader):

rat_SD.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c999367579296ad58beaadc22bc0c62729ecb43da828278ccf70aa36b4c3fd4a
-size 16674377