| | --- |
| | annotations_creators: |
| | - no-annotation |
| | language_creators: |
| | - found |
| | language: |
| | - en |
| | - de |
| | license: |
| | - mit |
| | multilinguality: |
| | - 2 languages |
| | size_categories: |
| | - 100K<n<1M |
| | source_datasets: |
| | - original |
| | task_categories: |
| | - syntactic-evaluation |
| | task_ids: |
| | - syntactic-transformations |
| | --- |
| | |
| | # Dataset Card for syntactic_transformations |
| | |
| | ## 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:** [Needs More Information] |
| | - **Repository:** https://github.com/sebschu/multilingual-transformations |
| | - **Paper:** [Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models](https://aclanthology.org/2022.findings-acl.106/) |
| | - **Leaderboard:** [Needs More Information] |
| | - **Point of Contact:** [Aaron Mueller](mailto:amueller@jhu.edu) |
| | |
| | ### Dataset Summary |
| | |
| | This contains the the syntactic transformations datasets used in [Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models](https://aclanthology.org/2022.findings-acl.106/). It consists of English and German question formation and passivization transformations. This dataset also contains zero-shot cross-lingual transfer training and evaluation data. |
| | |
| | ### Supported Tasks and Leaderboards |
| | |
| | [Needs More Information] |
| | |
| | ### Languages |
| | |
| | English and German. |
| | |
| | ## Dataset Structure |
| | |
| | ### Data Instances |
| | |
| | A typical data point consists of a source sequence ("src"), a target sequence ("tgt"), and a task prefix ("prefix"). The prefix indicates whether a given sequence should be kept the same in the target (indicated by the "decl:" prefix) or transformed into a question/passive ("quest:"/"passiv:", respectively). An example follows: |
| | |
| | {"src": "the yak has entertained the walruses that have amused the newt.", |
| | "tgt": "has the yak entertained the walruses that have amused the newt?", |
| | "prefix": "quest: " |
| | } |
| | |
| | ### Data Fields |
| | |
| | - src: the original source sequence. |
| | - tgt: the transformed target sequence. |
| | - prefix: indicates which transformation to perform to map from the source to target sequences. |
| | |
| | ### Data Splits |
| | |
| | The datasets are split into training, dev, test, and gen ("generalization") sets. The training sets are for fine-tuning the model. The dev and test sets are for evaluating model abilities on in-domain transformations. The generalization sets are for evaluating the inductive biases of the model. |
| | |
| | NOTE: for the zero-shot cross-lingual transfer datasets, the generalization sets are split into in-domain and out-of-domain syntactic structures. For in-domain transformations, use "gen_rc_o" for question formation or "gen_pp_o" for passivization. For out-of-domain transformations, use "gen_rc_s" for question formation or "gen_pp_s" for passivization. |
| | |
| | ## Dataset Creation |
| | |
| | ### Curation Rationale |
| | |
| | [Needs More Information] |
| | |
| | ### Source Data |
| | |
| | #### Initial Data Collection and Normalization |
| | |
| | [Needs More Information] |
| | |
| | #### Who are the source language producers? |
| | |
| | [Needs More Information] |
| | |
| | ### Annotations |
| | |
| | #### Annotation process |
| | |
| | [Needs More Information] |
| | |
| | #### Who are the annotators? |
| | |
| | [Needs More Information] |
| | |
| | ### Personal and Sensitive Information |
| | |
| | [Needs More Information] |
| | |
| | ## Considerations for Using the Data |
| | |
| | ### Social Impact of Dataset |
| | |
| | [Needs More Information] |
| | |
| | ### Discussion of Biases |
| | |
| | [Needs More Information] |
| | |
| | ### Other Known Limitations |
| | |
| | [Needs More Information] |
| | |
| | ## Additional Information |
| | |
| | ### Dataset Curators |
| | |
| | [Needs More Information] |
| | |
| | ### Licensing Information |
| | |
| | [Needs More Information] |
| | |
| | ### Citation Information |
| | |
| | [Needs More Information] |
