|
--- |
|
language: |
|
- de |
|
dataset_info: |
|
- config_name: deen |
|
features: |
|
- name: input |
|
dtype: string |
|
- name: output |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 1827320440 |
|
num_examples: 4508785 |
|
- name: test |
|
num_bytes: 1089638 |
|
num_examples: 3003 |
|
download_size: 867523154 |
|
dataset_size: 1828410078 |
|
- config_name: fren |
|
features: |
|
- name: input |
|
dtype: string |
|
- name: output |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 18999540612 |
|
num_examples: 40836715 |
|
- name: test |
|
num_bytes: 1151161 |
|
num_examples: 3003 |
|
download_size: 8233454255 |
|
dataset_size: 19000691773 |
|
configs: |
|
- config_name: deen |
|
data_files: |
|
- split: train |
|
path: deen/train-* |
|
- split: test |
|
path: deen/test-* |
|
- config_name: fren |
|
data_files: |
|
- split: train |
|
path: fren/train-* |
|
- split: test |
|
path: fren/test-* |
|
--- |
|
|
|
# Dataset Card for wmt14 |
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
This is a preprocessed version of wmt14 dataset for benchmarks in LM-Polygraph. |
|
|
|
## Dataset Details |
|
|
|
### Dataset Description |
|
|
|
<!-- Provide a longer summary of what this dataset is. --> |
|
|
|
- **Curated by:** https://huggingface.co/LM-Polygraph |
|
- **License:** https://github.com/IINemo/lm-polygraph/blob/main/LICENSE.md |
|
|
|
### Dataset Sources [optional] |
|
|
|
<!-- Provide the basic links for the dataset. --> |
|
|
|
- **Repository:** https://github.com/IINemo/lm-polygraph |
|
|
|
## Uses |
|
|
|
<!-- Address questions around how the dataset is intended to be used. --> |
|
|
|
### Direct Use |
|
|
|
<!-- This section describes suitable use cases for the dataset. --> |
|
|
|
This dataset should be used for performing benchmarks on LM-polygraph. |
|
|
|
### Out-of-Scope Use |
|
|
|
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
|
|
|
This dataset should not be used for further dataset preprocessing. |
|
|
|
## Dataset Structure |
|
|
|
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
|
|
|
This dataset contains the "continuation" subset, which corresponds to main dataset, used in LM-Polygraph. It may also contain other subsets, which correspond to instruct methods, used in LM-Polygraph. |
|
|
|
Each subset contains two splits: train and test. Each split contains two string columns: "input", which corresponds to processed input for LM-Polygraph, and "output", which corresponds to processed output for LM-Polygraph. |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
<!-- Motivation for the creation of this dataset. --> |
|
|
|
This dataset is created in order to separate dataset creation code from benchmarking code. |
|
|
|
### Source Data |
|
|
|
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
|
|
|
#### Data Collection and Processing |
|
|
|
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
|
|
|
Data is collected from https://huggingface.co/datasets/wmt14 and processed by using build_dataset.py script in repository. |
|
|
|
#### Who are the source data producers? |
|
|
|
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> |
|
|
|
People who created https://huggingface.co/datasets/wmt14 |
|
|
|
## Bias, Risks, and Limitations |
|
|
|
<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
|
|
|
This dataset contains the same biases, risks, and limitations as its source dataset https://huggingface.co/datasets/wmt14 |
|
|
|
### Recommendations |
|
|
|
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
|
|
|
Users should be made aware of the risks, biases and limitations of the dataset. |
|
|
