Convert dataset to Parquet (#6)

- Convert dataset to Parquet (304e10fa36ca4edb84bb711a966d45b302b44d53)
- Delete legacy dataset_infos.json (ca3073a3c377d1595ce6d71306bd7e9b41d0beaf)
- Delete loading script (2a555d39325c1f40a81681de0225d2e8f945a5d7)
- Delete data folder (abdb5127a9e8baa0d08f730636389f8b70ed406a)

README.md

@@ -1,15 +1,14 @@
 ---
 annotations_creators:
 - crowdsourced
-language:
-- en
 language_creators:
 - found
+language:
+- en
 license:
 - unknown
 multilinguality:
 - monolingual
-pretty_name: 'AESLC: Annotated Enron Subject Line Corpus'
 size_categories:
 - 10K<n<100K
 source_datasets:
@@ -18,6 +17,7 @@ task_categories:
 - summarization
 task_ids: []
 paperswithcode_id: aeslc
+pretty_name: 'AESLC: Annotated Enron Subject Line Corpus'
 tags:
 - aspect-based-summarization
 - conversations-summarization
@@ -31,16 +31,25 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 11902668
+    num_bytes: 11897245
     num_examples: 14436
   - name: validation
-    num_bytes: 1660730
+    num_bytes: 1659987
     num_examples: 1960
   - name: test
-    num_bytes: 1384177
+    num_bytes: 1383452
     num_examples: 1906
-  download_size: 11643743
-  dataset_size: 14947575
+  download_size: 7948020
+  dataset_size: 14940684
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
 ---
 
 # Dataset Card for "aeslc"

aeslc.py

@@ -1,107 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# 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.
-
-# Lint as: python3
-"""Annotated Enron Subject Line Corpus Dataset."""
-
-
-import glob
-import os
-
-import datasets
-
-
-_CITATION = """
-@misc{zhang2019email,
-    title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation},
-    author={Rui Zhang and Joel Tetreault},
-    year={2019},
-    eprint={1906.03497},
-    archivePrefix={arXiv},
-    primaryClass={cs.CL}
-}
-"""
-
-_DESCRIPTION = """
-A collection of email messages of employees in the Enron Corporation.
-
-There are two features:
-  - email_body: email body text.
-  - subject_line: email subject text.
-"""
-
-# From: https://github.com/ryanzhumich/AESLC/archive/master.zip
-_URL = "data.zip"
-
-_DOCUMENT = "email_body"
-_SUMMARY = "subject_line"
-
-
-class Aeslc(datasets.GeneratorBasedBuilder):
-    """Annotated Enron Subject Line Corpus Dataset."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({_DOCUMENT: datasets.Value("string"), _SUMMARY: datasets.Value("string")}),
-            supervised_keys=(_DOCUMENT, _SUMMARY),
-            homepage="https://github.com/ryanzhumich/AESLC",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        dl_path = dl_manager.download_and_extract(_URL)
-        input_path = os.path.join(dl_path, "AESLC-master", "enron_subject_line")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"pattern": os.path.join(input_path, "train", "*.subject")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"pattern": os.path.join(input_path, "dev", "*.subject")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"pattern": os.path.join(input_path, "test", "*.subject")},
-            ),
-        ]
-
-    def _generate_examples(self, pattern=None):
-        """Yields examples."""
-        for filename in sorted(glob.glob(pattern)):
-            email_body, subject_line = _parse_email_file(filename)
-            key = os.path.basename(filename).rstrip(".subject")
-            yield key, {_DOCUMENT: email_body, _SUMMARY: subject_line}
-
-
-def _parse_email_file(filename):
-    """Parse email file text for email body and subject."""
-    with open(filename, encoding="utf-8") as f:
-        email_body = ""
-        for line in f:
-            if line == "\n":
-                break
-            email_body += line
-        line = next(f)
-        subject = ""
-        for line in f:
-            if line == "\n":
-                break
-            subject += line
-    return email_body, subject

data.zip → data/test-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cd042fa034790609468250518d44060017df153c382ae888091a37d5fa320032
-size 11650497
+oid sha256:dff0f917c2b64531f979c3fb3596e4d48a22576da2e3519b6c70fe6258b47c15
+size 793541

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bfad0418f557b9f7431efcb43db1a3ee96332842bd6ceefcfc039b8cc8ff4e16
+size 6258274

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e56639d30fe8a4935f6b20a85baed8f992915dfd12aac935590c170c22671478
+size 896205

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "\nA collection of email messages of employees in the Enron Corporation.\n\nThere are two features:\n  - email_body: email body text.\n  - subject_line: email subject text.\n", "citation": "\n@misc{zhang2019email,\n    title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation},\n    author={Rui Zhang and Joel Tetreault},\n    year={2019},\n    eprint={1906.03497},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/ryanzhumich/AESLC", "license": "", "features": {"email_body": {"dtype": "string", "id": null, "_type": "Value"}, "subject_line": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "email_body", "output": "subject_line"}, "builder_name": "aeslc", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1384177, "num_examples": 1906, "dataset_name": "aeslc"}, "train": {"name": "train", "num_bytes": 11902668, "num_examples": 14436, "dataset_name": "aeslc"}, "validation": {"name": "validation", "num_bytes": 1660730, "num_examples": 1960, "dataset_name": "aeslc"}}, "download_checksums": {"https://github.com/ryanzhumich/AESLC/archive/master.zip": {"num_bytes": 11643743, "checksum": "b5ea2ffb837c5cfb9b033d62b3940a8a2330a9eb69bd2a39a9f55db6a23a40a4"}}, "download_size": 11643743, "dataset_size": 14947575, "size_in_bytes": 26591318}}