Create README.md

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README.md

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+---
+{Juan Alberto López Cavallotti, Jan 6, 2023}
+---
+
+# Dataset Card for Multilingual Grammar Error Correction
+
+## Dataset Description
+
+- **Homepage:** https://juancavallotti.com
+- **Repository:** 
+- **Paper:** 
+- **Leaderboard:** 
+- **Point of Contact:** Juan Alberto López Cavallotti
+
+### Dataset Summary
+
+This dataset can be used to train a transformer model (we used T5) to correct grammar errors in simple sentences written in English, Spanish, French, or German. 
+This dataset was developed as a component for the [Squidigies](https://squidgies.app/) platform.
+
+### Supported Tasks and Leaderboards
+
+* **Grammar Error Correction:** By appending the prefix *fix grammar:* to the prrompt.
+* **Language Detection:** By appending the prefix: *language:* to the prompt.
+
+### Languages
+
+* English
+* Spanish
+* French
+* German
+
+## Dataset Structure
+
+### Data Instances
+
+The dataset contains the following instances for each language:
+* German 32282 sentences.
+* English 51393 sentences.
+* Spanish 67672 sentences.
+* French 67157 sentences.
+
+### Data Fields
+
+* `lang`: The language of the sentence
+* `sentence`: The original sentence. 
+* `modified`: The corrupted sentence.
+* `transformation`: The primary transformation used by the synthetic data generator.
+* `sec_transformation`: The secondary transformation (if any) used by the synthetic data generator.
+
+### Data Splits
+
+* `train`: There isn't a specific split defined. I recommend using 1k sentences sampled randomly from each language, combined with the SacreBleu metric.
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was generated synthetically through code with the help of information of common grammar errors harvested throughout the internet.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The source grammatical sentences come from various open-source datasets, such as Tatoeba.
+
+#### Who are the source language producers?
+
+* Juan Alberto López Cavallotti
+
+### Annotations
+
+#### Annotation process
+
+The annotation is automatic and produced by the generation script.
+
+#### Who are the annotators?
+
+* Data generation script by Juan Alberto López Cavallotti
+
+### Other Known Limitations
+
+The dataset doesn't cover all the possible grammar errors but serves as a starting point that generates fair results.
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+This dataset is distributed under the [Apache 2 License](https://www.apache.org/licenses/LICENSE-2.0)
+
+### Citation Information
+
+Please mention this original dataset and the author **Juan Alberto López Cavallotti**
+
+### Contributions
+
+* Juan Alberto López Cavallotti