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--- |
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annotations_creators: |
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- machine-generated |
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language_creators: |
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- found |
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language: |
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- english |
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license: |
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- mit |
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multilinguality: |
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- monolingual |
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pretty_name: 'LSOIE |
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' |
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size_categories: |
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- unknown |
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source_datasets: |
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- extended|qa_srl |
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task_categories: |
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- text-retrieval |
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task_ids: |
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- text-retrieval-other-Open Information Extraction |
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--- |
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# Dataset Card for LSOIE |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-instances) |
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- [Data Splits](#data-instances) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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## Dataset Description |
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- **Homepage:** https://github.com/Jacobsolawetz/large-scale-oie |
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- **Repository:** https://github.com/Jacobsolawetz/large-scale-oie |
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- **Paper:** https://arxiv.org/abs/2101.11177 |
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- **Leaderboard:** [Needs More Information] |
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- **Point of Contact:** [Needs More Information] |
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### Dataset Summary |
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The Large Scale Open Information Extraction Dataset (LSOIE), is a dataset 20 times larger than the next largest human-annotated Open Information Extraction (OIE) dataset. LSOIE is a built upon the QA-SRL 2.0 dataset by transforming the list of Questions and answers for each predicate to a tuple representing a fact. |
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### Supported Tasks and Leaderboards |
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Open Information Extraction |
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### Languages |
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The text in this dataset is english. |
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## Dataset Structure |
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### Data Instances |
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A datapoint comprises one fact together with the sentence it was extracted from. There can be multiple facts for each Sentence. Each fact is represented by a tuple $(a_0, p, a_1,\dots a_n)$ where $a_0$ is the head entity $p$ is the predicate and $a_1, \dots,a_n$ represent the tail. |
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### Data Fields |
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- word_ids : sequence of indices (int) representing tokens in a sentence, |
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- words : a sequence of strings, the tokens in the sentence, |
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- pred : the predicate of the fact, |
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- pred_ids : ids of the tokens in the predicate, |
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- head_pred_id : id of the head token in the predicate, |
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- sent_id : sentence id, |
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- run_id : , |
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- label : Sequence of tags (BIO) representing the fact, e.g. if the fact is given by $(a_0, p, a_1, \dots, a_n) $ |
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### Data Splits |
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[Needs More Information] |
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## Dataset Creation |
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### Curation Rationale |
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[Needs More Information] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[Needs More Information] |
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#### Who are the source language producers? |
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[Needs More Information] |
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### Annotations |
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#### Annotation process |
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[Needs More Information] |
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#### Who are the annotators? |
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[Needs More Information] |
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### Personal and Sensitive Information |
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[Needs More Information] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[Needs More Information] |
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### Discussion of Biases |
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[Needs More Information] |
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### Other Known Limitations |
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[Needs More Information] |
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## Additional Information |
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### Dataset Curators |
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[Needs More Information] |
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### Licensing Information |
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[Needs More Information] |
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### Citation Information |
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[Needs More Information] |
