Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+- found
+languages:
+- de
+- en
+- es
+- fr
+- it
+- ja
+- nl
+- pt
+- ru
+- zh
+licenses:
+- cc-by-4-0
+multilinguality:
+- monolingual
+size_categories:
+- n>1M
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- multi-class-classification
+---
+
+# Dataset Card for Conceptnet5
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [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)
+
+## Dataset Description
+
+- **Homepage:**
+https://github.com/commonsense/conceptnet5/wiki
+- **Repository:**
+https://github.com/commonsense/conceptnet5/wiki
+- **Paper:**
+Robyn Speer, Joshua Chin, and Catherine Havasi. 2017. "ConceptNet 5.5: An Open Multilingual Graph of General Knowledge." In proceedings of AAAI 31.o
+
+### Dataset Summary
+
+ConceptNet is a multilingual knowledge base, representing words and
+phrases that people use and the common-sense relationships between
+them. The knowledge in ConceptNet is collected from a variety of
+resources, including crowd-sourced resources (such as Wiktionary and
+Open Mind Common Sense), games with a purpose (such as Verbosity and
+nadya.jp), and expert-created resources (such as WordNet and JMDict).
+
+You can browse what ConceptNet knows at http://conceptnet.io.
+
+This dataset is designed to provide training data
+for common sense relationships pulls together from various sources.
+
+The dataset is multi-lingual. See langauge codes and language info
+here: https://github.com/commonsense/conceptnet5/wiki/Languages
+
+
+This dataset provides an interface for the conceptnet5 csv file, and
+some (but not all) of the raw text data used to build conceptnet5:
+omcsnet_sentences_free.txt, and omcsnet_sentences_more.txt.
+
+One use of this dataset would be to learn to extract the conceptnet
+relationship from the omcsnet sentences.
+
+Conceptnet5 has 34,074,917 relationships. Of those relationships,
+there are 2,176,099 surface text sentences related to those 2M
+entries.
+
+omcsnet_sentences_free has 898,161 lines. omcsnet_sentences_more has
+2,001,736 lines.
+
+Original downloads are available here
+https://github.com/commonsense/conceptnet5/wiki/Downloads. For more
+information, see: https://github.com/commonsense/conceptnet5/wiki
+
+The omcsnet data comes with the following warning from the authors of
+the above site: 
+
+Remember: this data comes from various forms of
+crowdsourcing. Sentences in these files are not necessarily true,
+useful, or appropriate.
+
+### Languages
+en, fr, it, de, es, ru, pt, ja, nl, zh and others
+
+## Dataset Structure
+
+### Data Instances
+
+There are three configurations for the dataset: conceptnet5, omcs_sentences_free, omcs_sentences_more. 
+
+Conceptnet5 defines:
+
+``
+{
+	'sentence': ...,
+	'full_rel': ...,
+	'rel': ...,
+	'arg1': ...,
+	'arg2': ...,
+	'lang': ...,
+	'extra_info': ...
+	'weight': ...
+}
+``
+
+The omcs text defines:
+``
+{
+	'sentence': ...,
+	'raw_data': ...
+	'weight': ...
+}
+``
+
+### Data Fields
+
+For conceptnet5 configurations:
+* full_rel: the full relationship. e.g., /a/[/r/Antonym/,/c/en/able/,/c/en/cane/] 
+* rel: the binary relationship. e.g., /r/Antonym      
+* arg1: the first argument to the binary relationship. e.g., /c/en/able
+* arg2: the second argument to the binary relationship. e.g., /c/en/cane      
+* lang: the language code. e.g., en, fr, etc. If the arg1 and arg2 are two different languages, then the form os lang1/lang2.
+* extra_info: a string that includes json data that has the dataset name, license type (mostly cc-4.0), contributor, etc. e.g., : {"dataset": "/d/verbosity", "license": "cc:by/4.0", "sources": [{"contributor": "/s/resource/verbosity"}], "surfaceEnd": "cane", "surfaceStart": "able", "surfaceText": "[[able]] is the opposite of [[cane]]", "weight": 0.299}
+* sentence: the sentence from which the relationship was extracted, if one exists, with brackets around the arg1 and arg2. e.g., [[able]] is the opposite of [[cane]]
+* weight: the weight assigned by the curators or automatically to the relationship, between 1.0-0.0, higher being more certain. 
+
+For the omcs text configurations:
+
+* sentence: the raw sentence
+* raw_data: the raw tab seperated data of the form, id, text, curator_id, created_on, lanugage_id, activity_id, and score. Most of this information was tied to older systems for entering the data os was not partsed into fields for the dataset. e.g., 1237278 someone can be at catch 10805   2006-11-14 17:56:49.70872-05    en 27      1
+* lang: the language code
+
+### Data Splits
+
+There are no splits. 
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was gathered and created over many years for research in common sense reasoning. 
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+Started as the Open Mind Common Sense project at MIT Media Lab in 1999. See https://en.wikipedia.org/wiki/Open_Mind_Common_Sense
+
+#### Who are the source language producers?
+
+Crowd Sourced
+
+### Annotations
+
+#### Annotation process
+
+Crowd Source template text, games, etc. 
+
+#### Who are the annotators?
+
+Crowd sourced.
+
+### Personal and Sensitive Information
+
+Unkown, but likely there are names of famous individuals.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+The goal for the work is to help machines understand common sense.
+
+### Discussion of Biases
+
+See the website and paper for efforts to minimize data bias, but
+please note that omcs_sentences_free, omcs_sentences_more are raw data
+entered by users and may very well have biased data.
+
+
+### Other Known Limitations
+
+While the relationship dataset is large, the amount of actual sentences is limited.
+
+## Additional Information
+
+### Dataset Curators
+
+The authors of https://github.com/commonsense/conceptnet5/wiki and Luminoso. 
+
+### Licensing Information
+
+This work includes data from ConceptNet 5, which was compiled by the
+Commonsense Computing Initiative. ConceptNet 5 is freely available under
+the Creative Commons Attribution-ShareAlike license (CC BY SA 3.0) from
+http://conceptnet.io.
+
+The included data was created by contributors to Commonsense Computing
+projects, contributors to Wikimedia projects, DBPedia, OpenCyc, Games
+with a Purpose, Princeton University's WordNet, Francis Bond's Open
+Multilingual WordNet, and Jim Breen's JMDict.
+Credits and acknowledgements
+ConceptNet has been developed by:
+
+The MIT Media Lab, through various groups at different times:
+
+Commonsense Computing
+Software Agents
+Digital Intuition
+The Commonsense Computing Initiative, a worldwide collaboration with contributions from:
+
+National Taiwan University
+Universidade Federal de São Carlos
+Hokkaido University
+Tilburg University
+Nihon Unisys Labs
+Dentsu Inc.
+Kyoto University
+Yahoo Research Japan
+Luminoso Technologies, Inc.
+
+Significant amounts of data were imported from:
+
+WordNet, a project of Princeton University
+Open Multilingual WordNet, compiled by Francis Bond and Kyonghee Paik
+Wikipedia and Wiktionary, collaborative projects of the Wikimedia Foundation
+Luis von Ahn's "Games with a Purpose"
+JMDict, compiled by Jim Breen
+CC-CEDict, by MDBG
+The Unicode CLDR
+DBPedia
+Here is a short, incomplete list of people who have made significant contributions to the development of ConceptNet as a data resource, roughly in order of appearance:
+
+Push Singh
+Catherine Havasi
+Hugo Liu
+Hyemin Chung
+Robyn Speer
+Ken Arnold
+Yen-Ling Kuo
+Joshua Chin
+Joanna Lowry-Duda
+Robert Beaudoin
+Naoki Otani
+Vanya Cohen
+Licenses for included resources
+Commonsense Computing
+The Commonsense Computing project originated at the MIT Media Lab and expanded worldwide. Tens of thousands of contributors have taken some time to teach facts to computers. Their pseudonyms can be found in the "sources" list found in ConceptNet's raw data and in its API.
+
+Games with a Purpose
+Data collected from Verbosity, one of the CMU "Games with a Purpose", is used and released under ConceptNet's license, by permission from Luis von Ahn and Harshit Surana.
+
+Verbosity players are anonymous, so in the "sources" list, data from Verbosity is simply credited to the pseudonym "verbosity".
+
+Wikimedia projects
+ConceptNet uses data directly from Wiktionary, the free dictionary. It also uses data from Wikipedia, the free encyclopedia via DBPedia.
+
+Wiktionary and Wikipedia are collaborative projects, authored by their respective online communities. They are currently released under the Creative Commons Attribution-ShareAlike license.
+
+Wikimedia encourages giving attribution by providing links to the hosted pages that the data came from, and DBPedia asks for the same thing in turn. In addition to crediting the assertions that came from Wiktionary and DBPedia, we also provide "ExternalURL" edges pointing to the page that they came from. For example, the term /c/de/sprache has an ExternalURL link pointing to http://en.wiktionary.org/wiki/Sprache. Its list of individual contributors can be seen by following its "History" link.
+
+The URLs of links to DBPedia are the same as the resource names that DBPedia uses, encouraging interoperability with their linked data.
+
+WordNet
+WordNet is available under an unencumbered license: see http://wordnet.princeton.edu/wordnet/license/. Its text is reproduced below:
+
+WordNet Release 3.0
+
+This software and database is being provided to you, the LICENSEE, by Princeton University under the following license. By obtaining, using and/or copying this software and database, you agree that you have read, understood, and will comply with these terms and conditions.:
+
+Permission to use, copy, modify and distribute this software and database and its documentation for any purpose and without fee or royalty is hereby granted, provided that you agree to comply with the following copyright notice and statements, including the disclaimer, and that the same appear on ALL copies of the software, database and documentation, including modifications that you make for internal use or for distribution.
+
+WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.
+
+THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS.
+
+The name of Princeton University or Princeton may not be used in advertising or publicity pertaining to distribution of the software and/or database. Title to copyright in this software, database and any associated documentation shall at all times remain with Princeton University and LICENSEE agrees to preserve same.
+
+Open Multilingual WordNet
+Open Multilingual WordNet was compiled by Francis Bond, Kyonghee Paik, and Ryan Foster, from data provided by many multilingual WordNet projects. Here is the complete list of references to the projects that created the data.
+
+
+### Citation Information
+
+Robyn Speer, Joshua Chin, and Catherine Havasi. 2017. "ConceptNet 5.5: An Open Multilingual Graph of General Knowledge." In proceedings of AAAI 31.

conceptnet5.py

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+# 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.
+"""Conceptnet 5.7.0 and OMCSNet raw data"""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+
+import datasets
+
+
+# Find for instance the citation on arxiv or on the dataset repo/website
+_CITATION = """\
+Robyn Speer, Joshua Chin, and Catherine Havasi. 2017. "ConceptNet 5.5: An Open Multilingual Graph of General Knowledge." In proceedings of AAAI 31.
+}
+"""
+
+# You can copy an official description
+_DESCRIPTION = """This dataset is designed to provide training data
+for common sense relationships pulls together from various sources.
+
+The dataset is multi-lingual. See langauge codes and language info
+here: https://github.com/commonsense/conceptnet5/wiki/Languages
+
+
+This dataset provides an interface for the conceptnet5 csv file, and
+some (but not all) of the raw text data used to build conceptnet5:
+omcsnet_sentences_free.txt, and omcsnet_sentences_more.txt.
+
+One use of this dataset would be to learn to extract the conceptnet
+relationship from the omcsnet sentences.
+
+Conceptnet5 has 34,074,917 relationships. Of those relationships,
+there are 2,176,099 surface text sentences related to those 2M
+entries.
+
+omcsnet_sentences_free has 898,161 lines. omcsnet_sentences_more has
+2,001,736 lines.
+
+Original downloads are available here
+https://github.com/commonsense/conceptnet5/wiki/Downloads. For more
+information, see: https://github.com/commonsense/conceptnet5/wiki
+
+The omcsnet data comes with the following warning from the authors of
+the above site: Remember: this data comes from various forms of
+crowdsourcing. Sentences in these files are not necessarily true,
+useful, or appropriate.
+
+"""
+
+
+_LICENSE = """
+This work includes data from ConceptNet 5, which was compiled by the
+Commonsense Computing Initiative. ConceptNet 5 is freely available under
+the Creative Commons Attribution-ShareAlike license (CC BY SA 3.0) from
+http://conceptnet.io.
+
+The included data was created by contributors to Commonsense Computing
+projects, contributors to Wikimedia projects, DBPedia, OpenCyc, Games
+with a Purpose, Princeton University's WordNet, Francis Bond's Open
+Multilingual WordNet, and Jim Breen's JMDict.
+
+There are various othe licenses. See:
+https://github.com/commonsense/conceptnet5/wiki/Copying-and-sharing-ConceptNet
+"""
+
+_URLs = {
+    "conceptnet5": "https://s3.amazonaws.com/conceptnet/downloads/2019/edges/conceptnet-assertions-5.7.0.csv.gz",
+    "omcs_sentences_free": "https://s3.amazonaws.com/conceptnet/downloads/2018/omcs-sentences-free.txt",
+    "omcs_sentences_more": "https://s3.amazonaws.com/conceptnet/downloads/2018/omcs-sentences-more.txt",
+}
+
+
+class Conceptnet5(datasets.GeneratorBasedBuilder):
+    """Conceptnet5 dataset for common sense graphs and underlying sentences."""
+
+    VERSION = datasets.Version("0.1.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="conceptnet5", description="The relationships defined by conceptnet5", version="5.7.0"
+        ),
+        datasets.BuilderConfig(name="omcs_sentences_free", description="OMCSNet free form text", version="5.7.0"),
+        datasets.BuilderConfig(
+            name="omcs_sentences_more",
+            description="OMCSNet free form text, and text from templates, games, responses to questions, and so on",
+            version="5.7.0",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "conceptnet5"
+
+    def _info(self):
+        if self.config.name == "conceptnet5":
+            features = datasets.Features(
+                {
+                    "sentence": datasets.Value("string"),
+                    "full_rel": datasets.Value("string"),
+                    "rel": datasets.Value("string"),
+                    "arg1": datasets.Value("string"),
+                    "arg2": datasets.Value("string"),
+                    "lang": datasets.Value("string"),
+                    "extra_info": datasets.Value("string"),
+                    "weight": datasets.Value("float"),
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    "sentence": datasets.Value("string"),
+                    "raw_data": datasets.Value("string"),
+                    "lang": datasets.Value("string"),
+                }
+            )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage="https://github.com/commonsense/conceptnet5/wiki",
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        my_urls = _URLs[self.config.name]
+        data_dir = dl_manager.download_and_extract(my_urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """ Yields examples from the conceptnet5 graph if the config is 'conceptnet5', otherwise yields the sentences for omcs. """
+
+        with open(filepath, "rb") as f:
+            for id_, row in enumerate(f):
+                if self.config.name == "conceptnet5":
+                    row = row.split(b"\t")
+                    s = row[4]
+                    data = json.loads(s)
+                    lang1 = row[2].split(b"/")[2].decode("utf-8")
+                    lang2 = row[3].split(b"/")[2].decode("utf-8")
+                    if lang1 == lang2:
+                        lang = lang1
+                    else:
+                        lang = lang1 + "/" + lang2
+                    if "surfaceText" in data:
+                        sentence = data["surfaceText"].strip()
+                    else:
+                        sentence = ""
+                    if b"weight" in data:
+                        weight = float(data[b"weight"])
+                    else:
+                        weight = 1.0
+                    yield id_, {
+                        "sentence": sentence,
+                        "full_rel": row[0].decode("utf-8"),
+                        "rel": row[1].decode("utf-8"),
+                        "arg1": row[2].decode("utf-8"),
+                        "arg2": row[3].decode("utf-8"),
+                        "lang": lang,
+                        "extra_info": row[4].decode("utf-8"),
+                        "weight": weight,
+                    }
+                else:
+                    row = row.decode("utf-8").strip()
+                    data = row.split("\t")
+                    if len(data) > 1:
+                        sentence = data[1]
+                        lang = data[4]
+                    else:
+                        continue
+                    yield id_, {
+                        "raw_data": row,
+                        "sentence": sentence,
+                        "lang": lang,
+                    }

dataset_infos.json

@@ -0,0 +1 @@
+{"conceptnet5": {"description": "\\ This dataset is designed to provide training data\nfor common sense relationships pulls together from various\nsources. \n\nThe dataset is multi-lingual. See langauge codes and language info\nhere: https://github.com/commonsense/conceptnet5/wiki/Languages\n\n\nThis dataset provides an interface for the conceptnet5 csv file, and\nsome (but not all) of the raw text data used to build conceptnet5:\nomcsnet_sentences_free.txt, and omcsnet_sentences_more.txt.\n\nOne use of this dataset would be to learn to extract the conceptnet\nrelationship from the omcsnet sentences.\n\nConceptnet5 has 34,074,917 relationships. Of those relationships,\nthere are 2,176,099 surface text sentences related to those 2M\nentries.\n\nomcsnet_sentences_free has 898,161 lines. omcsnet_sentences_more has\n2,001,736 lines.\n\nOriginal downloads are available here\nhttps://github.com/commonsense/conceptnet5/wiki/Downloads. For more\ninformation, see: https://github.com/commonsense/conceptnet5/wiki\n\nThe omcsnet data comes with the following warning from the authors of\nthe above site: \n\nRemember: this data comes from various forms of\ncrowdsourcing. Sentences in these files are not necessarily true,\nuseful, or appropriate.\n\n", "citation": "Robyn Speer, Joshua Chin, and Catherine Havasi. 2017. \"ConceptNet 5.5: An Open Multilingual Graph of General Knowledge.\" In proceedings of AAAI 31.\n}\n", "homepage": "https://github.com/commonsense/conceptnet5/wiki", "license": "\nThis work includes data from ConceptNet 5, which was compiled by the\nCommonsense Computing Initiative. ConceptNet 5 is freely available under\nthe Creative Commons Attribution-ShareAlike license (CC BY SA 3.0) from\nhttp://conceptnet.io.\n\nThe included data was created by contributors to Commonsense Computing\nprojects, contributors to Wikimedia projects, DBPedia, OpenCyc, Games\nwith a Purpose, Princeton University's WordNet, Francis Bond's Open\nMultilingual WordNet, and Jim Breen's JMDict.\n\nThere are various othe licenses. See:\nhttps://github.com/commonsense/conceptnet5/wiki/Copying-and-sharing-ConceptNet\n", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "full_rel": {"dtype": "string", "id": null, "_type": "Value"}, "rel": {"dtype": "string", "id": null, "_type": "Value"}, "arg1": {"dtype": "string", "id": null, "_type": "Value"}, "arg2": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "extra_info": {"dtype": "string", "id": null, "_type": "Value"}, "weight": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "conceptnet5", "config_name": "conceptnet5", "version": {"version_str": "5.7.0", "description": null, "major": 5, "minor": 7, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 11493868180, "num_examples": 34074917, "dataset_name": "conceptnet5"}}, "download_checksums": {"https://s3.amazonaws.com/conceptnet/downloads/2019/edges/conceptnet-assertions-5.7.0.csv.gz": {"num_bytes": 497963447, "checksum": "accd65fe94038584295574ddc26e1500c1919c8c4532bf771811cafd0948af7e"}}, "download_size": 497963447, "post_processing_size": null, "dataset_size": 11493868180, "size_in_bytes": 11991831627}, "omcs_sentences_free": {"description": "\\ This dataset is designed to provide training data\nfor common sense relationships pulls together from various\nsources. \n\nThe dataset is multi-lingual. See langauge codes and language info\nhere: https://github.com/commonsense/conceptnet5/wiki/Languages\n\n\nThis dataset provides an interface for the conceptnet5 csv file, and\nsome (but not all) of the raw text data used to build conceptnet5:\nomcsnet_sentences_free.txt, and omcsnet_sentences_more.txt.\n\nOne use of this dataset would be to learn to extract the conceptnet\nrelationship from the omcsnet sentences.\n\nConceptnet5 has 34,074,917 relationships. Of those relationships,\nthere are 2,176,099 surface text sentences related to those 2M\nentries.\n\nomcsnet_sentences_free has 898,161 lines. omcsnet_sentences_more has\n2,001,736 lines.\n\nOriginal downloads are available here\nhttps://github.com/commonsense/conceptnet5/wiki/Downloads. For more\ninformation, see: https://github.com/commonsense/conceptnet5/wiki\n\nThe omcsnet data comes with the following warning from the authors of\nthe above site: \n\nRemember: this data comes from various forms of\ncrowdsourcing. Sentences in these files are not necessarily true,\nuseful, or appropriate.\n\n", "citation": "Robyn Speer, Joshua Chin, and Catherine Havasi. 2017. \"ConceptNet 5.5: An Open Multilingual Graph of General Knowledge.\" In proceedings of AAAI 31.\n}\n", "homepage": "https://github.com/commonsense/conceptnet5/wiki", "license": "\nThis work includes data from ConceptNet 5, which was compiled by the\nCommonsense Computing Initiative. ConceptNet 5 is freely available under\nthe Creative Commons Attribution-ShareAlike license (CC BY SA 3.0) from\nhttp://conceptnet.io.\n\nThe included data was created by contributors to Commonsense Computing\nprojects, contributors to Wikimedia projects, DBPedia, OpenCyc, Games\nwith a Purpose, Princeton University's WordNet, Francis Bond's Open\nMultilingual WordNet, and Jim Breen's JMDict.\n\nThere are various othe licenses. 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See langauge codes and language info\nhere: https://github.com/commonsense/conceptnet5/wiki/Languages\n\n\nThis dataset provides an interface for the conceptnet5 csv file, and\nsome (but not all) of the raw text data used to build conceptnet5:\nomcsnet_sentences_free.txt, and omcsnet_sentences_more.txt.\n\nOne use of this dataset would be to learn to extract the conceptnet\nrelationship from the omcsnet sentences.\n\nConceptnet5 has 34,074,917 relationships. Of those relationships,\nthere are 2,176,099 surface text sentences related to those 2M\nentries.\n\nomcsnet_sentences_free has 898,161 lines. omcsnet_sentences_more has\n2,001,736 lines.\n\nOriginal downloads are available here\nhttps://github.com/commonsense/conceptnet5/wiki/Downloads. For more\ninformation, see: https://github.com/commonsense/conceptnet5/wiki\n\nThe omcsnet data comes with the following warning from the authors of\nthe above site: \n\nRemember: this data comes from various forms of\ncrowdsourcing. Sentences in these files are not necessarily true,\nuseful, or appropriate.\n\n", "citation": "Robyn Speer, Joshua Chin, and Catherine Havasi. 2017. \"ConceptNet 5.5: An Open Multilingual Graph of General Knowledge.\" In proceedings of AAAI 31.\n}\n", "homepage": "https://github.com/commonsense/conceptnet5/wiki", "license": "\nThis work includes data from ConceptNet 5, which was compiled by the\nCommonsense Computing Initiative. ConceptNet 5 is freely available under\nthe Creative Commons Attribution-ShareAlike license (CC BY SA 3.0) from\nhttp://conceptnet.io.\n\nThe included data was created by contributors to Commonsense Computing\nprojects, contributors to Wikimedia projects, DBPedia, OpenCyc, Games\nwith a Purpose, Princeton University's WordNet, Francis Bond's Open\nMultilingual WordNet, and Jim Breen's JMDict.\n\nThere are various othe licenses. See:\nhttps://github.com/commonsense/conceptnet5/wiki/Copying-and-sharing-ConceptNet\n", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "raw_data": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "conceptnet5", "config_name": "omcs_sentences_more", "version": "5.7.0", "splits": {"train": {"name": "train", "num_bytes": 341424279, "num_examples": 2001735, "dataset_name": "conceptnet5"}}, "download_checksums": {"https://s3.amazonaws.com/conceptnet/downloads/2018/omcs-sentences-more.txt": {"num_bytes": 209776958, "checksum": "1bebca297d2c82c44e816bb13d0ea4c1a9c6ee83c435f19e2e5dd744c988d30f"}}, "download_size": 209776958, "post_processing_size": null, "dataset_size": 341424279, "size_in_bytes": 551201237}}

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