Update parquet files

.gitattributes

@@ -1,27 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bin.* filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zstandard filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,241 +0,0 @@
----
-annotations_creators:
-- crowdsourced
-- machine-generated
-language:
-- en
-language_creators:
-- found
-license:
-- cc-by-nc-4.0
-multilinguality:
-- monolingual
-pretty_name: Adversarial NLI
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-- extended|hotpot_qa
-task_categories:
-- text-classification
-task_ids:
-- natural-language-inference
-- multi-input-text-classification
-paperswithcode_id: anli
-dataset_info:
-  features:
-  - name: uid
-    dtype: string
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: entailment
-          1: neutral
-          2: contradiction
-  - name: reason
-    dtype: string
-  config_name: plain_text
-  splits:
-  - name: train_r1
-    num_bytes: 8006920
-    num_examples: 16946
-  - name: dev_r1
-    num_bytes: 573444
-    num_examples: 1000
-  - name: test_r1
-    num_bytes: 574933
-    num_examples: 1000
-  - name: train_r2
-    num_bytes: 20801661
-    num_examples: 45460
-  - name: dev_r2
-    num_bytes: 556082
-    num_examples: 1000
-  - name: test_r2
-    num_bytes: 572655
-    num_examples: 1000
-  - name: train_r3
-    num_bytes: 44720895
-    num_examples: 100459
-  - name: dev_r3
-    num_bytes: 663164
-    num_examples: 1200
-  - name: test_r3
-    num_bytes: 657602
-    num_examples: 1200
-  download_size: 18621352
-  dataset_size: 77127356
----
-
-# Dataset Card for "anli"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:**
-- **Repository:** [https://github.com/facebookresearch/anli/](https://github.com/facebookresearch/anli/)
-- **Paper:** [Adversarial NLI: A New Benchmark for Natural Language Understanding](https://arxiv.org/abs/1910.14599)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 17.76 MB
-- **Size of the generated dataset:** 73.55 MB
-- **Total amount of disk used:** 91.31 MB
-
-### Dataset Summary
-
-The Adversarial Natural Language Inference (ANLI) is a new large-scale NLI benchmark dataset,
-The dataset is collected via an iterative, adversarial human-and-model-in-the-loop procedure.
-ANLI is much more difficult than its predecessors including SNLI and MNLI.
-It contains three rounds. Each round has train/dev/test splits.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-English
-
-## Dataset Structure
-
-### Data Instances
-
-#### plain_text
-
-- **Size of downloaded dataset files:** 17.76 MB
-- **Size of the generated dataset:** 73.55 MB
-- **Total amount of disk used:** 91.31 MB
-
-An example of 'train_r2' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "hypothesis": "Idris Sultan was born in the first month of the year preceding 1994.",
-    "label": 0,
-    "premise": "\"Idris Sultan (born January 1993) is a Tanzanian Actor and comedian, actor and radio host who won the Big Brother Africa-Hotshot...",
-    "reason": "",
-    "uid": "ed5c37ab-77c5-4dbc-ba75-8fd617b19712"
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### plain_text
-- `uid`: a `string` feature.
-- `premise`: a `string` feature.
-- `hypothesis`: a `string` feature.
-- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2).
-- `reason`: a `string` feature.
-
-### Data Splits
-
-|   name   |train_r1|dev_r1|train_r2|dev_r2|train_r3|dev_r3|test_r1|test_r2|test_r3|
-|----------|-------:|-----:|-------:|-----:|-------:|-----:|------:|------:|------:|
-|plain_text|   16946|  1000|   45460|  1000|  100459|  1200|   1000|   1000|   1200|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-[cc-4 Attribution-NonCommercial](https://github.com/facebookresearch/anli/blob/main/LICENSE)
-
-### Citation Information
-
-```
-@InProceedings{nie2019adversarial,
-    title={Adversarial NLI: A New Benchmark for Natural Language Understanding},
-    author={Nie, Yixin
-                and Williams, Adina
-                and Dinan, Emily
-                and Bansal, Mohit
-                and Weston, Jason
-                and Kiela, Douwe},
-    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
-    year = "2020",
-    publisher = "Association for Computational Linguistics",
-}
-
-```
-
-
-### Contributions
-
-Thanks to [@thomwolf](https://github.com/thomwolf), [@easonnie](https://github.com/easonnie), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.

anli.py

@@ -1,152 +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
-"""The Adversarial NLI Corpus."""
-
-
-import json
-import os
-
-import datasets
-
-
-_CITATION = """\
-@InProceedings{nie2019adversarial,
-    title={Adversarial NLI: A New Benchmark for Natural Language Understanding},
-    author={Nie, Yixin
-                and Williams, Adina
-                and Dinan, Emily
-                and Bansal, Mohit
-                and Weston, Jason
-                and Kiela, Douwe},
-    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
-    year = "2020",
-    publisher = "Association for Computational Linguistics",
-}
-"""
-
-_DESCRIPTION = """\
-The Adversarial Natural Language Inference (ANLI) is a new large-scale NLI benchmark dataset,
-The dataset is collected via an iterative, adversarial human-and-model-in-the-loop procedure.
-ANLI is much more difficult than its predecessors including SNLI and MNLI.
-It contains three rounds. Each round has train/dev/test splits.
-"""
-
-stdnli_label = {
-    "e": "entailment",
-    "n": "neutral",
-    "c": "contradiction",
-}
-
-
-class ANLIConfig(datasets.BuilderConfig):
-    """BuilderConfig for ANLI."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for ANLI.
-
-            Args:
-        .
-              **kwargs: keyword arguments forwarded to super.
-        """
-        super(ANLIConfig, self).__init__(version=datasets.Version("0.1.0", ""), **kwargs)
-
-
-class ANLI(datasets.GeneratorBasedBuilder):
-    """ANLI: The ANLI Dataset."""
-
-    BUILDER_CONFIGS = [
-        ANLIConfig(
-            name="plain_text",
-            description="Plain text",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "uid": datasets.Value("string"),
-                    "premise": datasets.Value("string"),
-                    "hypothesis": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(names=["entailment", "neutral", "contradiction"]),
-                    "reason": datasets.Value("string"),
-                }
-            ),
-            # No default supervised_keys (as we have to pass both premise
-            # and hypothesis as input).
-            supervised_keys=None,
-            homepage="https://github.com/facebookresearch/anli/",
-            citation=_CITATION,
-        )
-
-    def _vocab_text_gen(self, filepath):
-        for _, ex in self._generate_examples(filepath):
-            yield " ".join([ex["premise"], ex["hypothesis"]])
-
-    def _split_generators(self, dl_manager):
-
-        downloaded_dir = dl_manager.download_and_extract("https://dl.fbaipublicfiles.com/anli/anli_v0.1.zip")
-
-        anli_path = os.path.join(downloaded_dir, "anli_v0.1")
-
-        path_dict = dict()
-        for round_tag in ["R1", "R2", "R3"]:
-            path_dict[round_tag] = dict()
-            for split_name in ["train", "dev", "test"]:
-                path_dict[round_tag][split_name] = os.path.join(anli_path, round_tag, f"{split_name}.jsonl")
-
-        return [
-            # Round 1
-            datasets.SplitGenerator(name="train_r1", gen_kwargs={"filepath": path_dict["R1"]["train"]}),
-            datasets.SplitGenerator(name="dev_r1", gen_kwargs={"filepath": path_dict["R1"]["dev"]}),
-            datasets.SplitGenerator(name="test_r1", gen_kwargs={"filepath": path_dict["R1"]["test"]}),
-            # Round 2
-            datasets.SplitGenerator(name="train_r2", gen_kwargs={"filepath": path_dict["R2"]["train"]}),
-            datasets.SplitGenerator(name="dev_r2", gen_kwargs={"filepath": path_dict["R2"]["dev"]}),
-            datasets.SplitGenerator(name="test_r2", gen_kwargs={"filepath": path_dict["R2"]["test"]}),
-            # Round 3
-            datasets.SplitGenerator(name="train_r3", gen_kwargs={"filepath": path_dict["R3"]["train"]}),
-            datasets.SplitGenerator(name="dev_r3", gen_kwargs={"filepath": path_dict["R3"]["dev"]}),
-            datasets.SplitGenerator(name="test_r3", gen_kwargs={"filepath": path_dict["R3"]["test"]}),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Generate mnli examples.
-
-        Args:
-          filepath: a string
-
-        Yields:
-          dictionaries containing "premise", "hypothesis" and "label" strings
-        """
-        for idx, line in enumerate(open(filepath, "rb")):
-            if line is not None:
-                line = line.strip().decode("utf-8")
-                item = json.loads(line)
-
-                reason_text = ""
-                if "reason" in item:
-                    reason_text = item["reason"]
-
-                yield item["uid"], {
-                    "uid": item["uid"],
-                    "premise": item["context"],
-                    "hypothesis": item["hypothesis"],
-                    "label": stdnli_label[item["label"]],
-                    "reason": reason_text,
-                }

dataset_infos.json

@@ -1 +0,0 @@
-{"plain_text": {"description": "The Adversarial Natural Language Inference (ANLI) is a new large-scale NLI benchmark dataset, \nThe dataset is collected via an iterative, adversarial human-and-model-in-the-loop procedure.\nANLI is much more difficult than its predecessors including SNLI and MNLI.\nIt contains three rounds. Each round has train/dev/test splits.\n", "citation": "@InProceedings{nie2019adversarial,\n    title={Adversarial NLI: A New Benchmark for Natural Language Understanding},\n    author={Nie, Yixin \n                and Williams, Adina \n                and Dinan, Emily \n                and Bansal, Mohit \n                and Weston, Jason \n                and Kiela, Douwe},\n    booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n    year = \"2020\",\n    publisher = \"Association for Computational Linguistics\",\n}\n", "homepage": "https://github.com/facebookresearch/anli/", "license": "", "features": {"uid": {"dtype": "string", "id": null, "_type": "Value"}, "premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["entailment", "neutral", "contradiction"], "names_file": null, "id": null, "_type": "ClassLabel"}, "reason": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "anli", "config_name": "plain_text", "version": {"version_str": "0.1.0", "description": "", "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train_r1": {"name": "train_r1", "num_bytes": 8006920, "num_examples": 16946, "dataset_name": "anli"}, "dev_r1": {"name": "dev_r1", "num_bytes": 573444, "num_examples": 1000, "dataset_name": "anli"}, "test_r1": {"name": "test_r1", "num_bytes": 574933, "num_examples": 1000, "dataset_name": "anli"}, "train_r2": {"name": "train_r2", "num_bytes": 20801661, "num_examples": 45460, "dataset_name": "anli"}, "dev_r2": {"name": "dev_r2", "num_bytes": 556082, "num_examples": 1000, "dataset_name": "anli"}, "test_r2": {"name": "test_r2", "num_bytes": 572655, "num_examples": 1000, "dataset_name": "anli"}, "train_r3": {"name": "train_r3", "num_bytes": 44720895, "num_examples": 100459, "dataset_name": "anli"}, "dev_r3": {"name": "dev_r3", "num_bytes": 663164, "num_examples": 1200, "dataset_name": "anli"}, "test_r3": {"name": "test_r3", "num_bytes": 657602, "num_examples": 1200, "dataset_name": "anli"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/anli/anli_v0.1.zip": {"num_bytes": 18621352, "checksum": "16ac929a7e90ecf9093deaec89cc81fe86a379265a5320a150028efe50c5cde8"}}, "download_size": 18621352, "dataset_size": 77127356, "size_in_bytes": 95748708}}

plain_text/anli-dev_r1.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7baeb38b345a33beeecb7f7aec9a949f9c60682a9790ade9add6afbf56bd9a8d
+size 351478

plain_text/anli-dev_r2.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:575c5e7974e35a9b229dd77d3b14df7b23064ad1b9cecd87cdd7815fa23e9b23
+size 350605

plain_text/anli-dev_r3.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9db58b6e09ad0fa7a3756cf51e7b29e8083ee32b3609a86528c9ec38a7740cf
+size 434043

plain_text/anli-test_r1.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb35e57df24ad4a42e0994587c4ce0c45f3ae2cb45c6fbde12012cd70ac94839
+size 353375

plain_text/anli-test_r2.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab0b9c153693d5d204eec5e207f7bc7eed5547ce16c91e0c659f6d8513fc74c3
+size 361548

plain_text/anli-test_r3.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59c841387cdb39d2a123618321db2ec8a74df50925812b6a26da2c45d20ec527
+size 434549

plain_text/anli-train_r1.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80fc7ab26927e7028a8684182fbeeade0a265ae442f21b933b2cbda7f290db2b
+size 3140119

plain_text/anli-train_r2.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09a2091ea5570d1c5297f2723cc0c8ca32d47c3670731106c2693576323f9a67
+size 6527556

plain_text/anli-train_r3.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eda56ee1ac5fc5bc83e167de9d76f3b0f0ba6b31f27af5148f88be75f86433e0
+size 14333466