| --- |
| annotations_creators: |
| - expert-generated |
| language: |
| - en |
| language_creators: [] |
| license: |
| - cc-by-4.0 |
| multilinguality: |
| - monolingual |
| pretty_name: openpi_v2 |
| size_categories: |
| - 10K<n<100K |
| source_datasets: [] |
| tags: [] |
| task_categories: |
| - question-answering |
| - text-classification |
| task_ids: |
| - entity-linking-classification |
| - natural-language-inference |
| --- |
| |
| # Dataset Card for openpi_v2 |
| |
| ## Table of Contents |
| - [Table of Contents](#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:** |
| - **Paper:** |
| - **Leaderboard:** |
| - **Point of Contact:** |
| |
| ### Dataset Summary |
| |
| Open PI is the first dataset for tracking state changes in procedural text from arbitrary domains by using an unrestricted (open) vocabulary. Our solution is a new task formulation in which just the text is provided, from which a set of state changes (entity, attribute, before, after) is generated for each step, where the entity, attribute, and values must all be predicted from an open vocabulary. |
| |
| ### Supported Tasks and Leaderboards |
| |
| - `Task 1`: Given paragraph (e.g., with 5 steps), identify entities that change (challenge: implicit entities, some explicit entities that don’t change) |
| |
| - `Task 3`: Given paragraph, identify the attributes of entity that change (challenge: implicit entities, attributes & many combinations) |
| |
| - `Task 4`: Given paragraph & an entity, identify the sequence of attribute value changes (challenge: implicit attributes) |
| |
| - `Task 7`: Given image url, identify the visual attributes of entity and non-visual attributes of entity that change |
| |
| ### Languages |
| |
| English |
| |
| ## Dataset Structure |
| |
| ### Data Instances |
| |
| A typical instance in the dataset: |
| |
| ``` |
| { |
| "goal": "goal1_text", |
| "steps": [ |
| "step1_text", |
| "step2_text", |
| ... |
| ], |
| "topics": "topic1_annotation", |
| "image_urls": [ |
| "step1_url_text", |
| "step2_url_text", |
| ... |
| ], |
| "states": [ |
| { |
| "answers_openpiv1_metadata": { |
| "entity": "entity1 | entity2 | ...", |
| "attribute": "attribute1 | attribute2 | ...", |
| "answers": [ |
| "before: step1_entity1_before | step1_entity2_before, after: step1_entity1_after | step1_entity2_after", |
| ... |
| ], |
| "modality": [ |
| "step1_entity1_modality_id | step1_entity2_modality_id", |
| ... |
| ] |
| }, |
| "entity": "entity1 | entity2 | ...", |
| "attribute": "attribute1 | attribute2 | ...", |
| "answers": [ |
| "before: step1_entity1_before_merged | step1_entity2_before_merged, after: step1_entity1_after_merged | step1_entity2_after_merged", |
| ... |
| ] |
| } |
| ] |
| } |
| ``` |
| |
| ### Data Fields |
|
|
| The following is an excerpt from the dataset README: |
|
|
| Within "goal", "steps", "topics", and "image_urls", the fields should be self-explanatory. Listed below is an explanation about those within "states": |
| |
| #### Fields specific to questions: |
| |
| ### Data Splits |
| |
| Train, Valid, Dev |
| |
| ## Dataset Creation |
| |
| ### Curation Rationale |
| |
| [More Information Needed] |
| |
| ### Source Data |
| |
| #### Initial Data Collection and Normalization |
| |
| [More Information Needed] |
| |
| #### Who are the source language producers? |
| |
| [More Information Needed] |
| |
| ### Annotations |
| |
| #### Annotation process |
| |
| [More Information Needed] |
| |
| #### Who are the annotators? |
| |
| [More Information Needed] |
| |
| ### Personal and Sensitive Information |
| |
| [More Information Needed] |
| |
| ## Considerations for Using the Data |
| |
| ### Social Impact of Dataset |
| |
| [More Information Needed] |
| |
| ### Discussion of Biases |
| |
| [More Information Needed] |
| |
| ### Other Known Limitations |
| |
| [More Information Needed] |
| |
| ## Additional Information |
| |
| ### Dataset Curators |
| |
| [More Information Needed] |
| |
| ### Licensing Information |
| |
| [More Information Needed] |
| |
| ### Citation Information |
| |
| [More Information Needed] |
| |
| ### Contributions |
| |
| Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset. |
