---
configs:
- config_name: default
  data_files:
  - split: train
    path: "chanlam_train_final.csv"
  - split: test
    path: "chanlam_test_final.csv"
  - split: val
    path: "chanlam_val_final.csv"
  - split: train_augmented
    path: "chanlam_train_augmented_final.csv"
license: mit
task_categories:
- translation
language:
- en
tags:
- chemistry
pretty_name: Chan Lam Dataset from Open Reaction Database
size_categories:
- 10K<n<100K
---

# Dataset Card for [Dataset Name]

## 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

- **Original Authors:** []()
- **Original Paper:** []()
- **Open Reaction Database Repo:** [https://]()

### Dataset Summary
The order of addition is as follows:
> *Reactants*>/.*Reagents*
> i.e.
> *Sulfonamide*.*Boronic acid*>/.*Catalyst*.*Base*


I processed the original dataset to extract only the reactants, reagents and products (yields are in another dataset)

### Supported Tasks and Leaderboards

Any SMILES-based Seq2Seq model can use this dataset.

### Languages

SMILES strings.

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

Input: Reactants + Reagents
Target: Products

### Data Splits

train: Default train split
val: Used in eval loop of Trainer
test: Hold out set for separate evaluation
train_augmented: train set but augmented with 4 extra random SMILES per row, totalling a dataset with 5x more rows

## Dataset Creation

### Curation Rationale

This is a small dataset, good for testing out the effectiveness of LoRA vs full finetuning

### 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.