SpeedOfMagic
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README.md
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---
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# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
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# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
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{}
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---
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# Dataset Card for wmt19
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<!-- Provide a quick summary of the dataset. -->
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This is a preprocessed version of wmt19 dataset for benchmarks in LM-Polygraph.
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** https://huggingface.co/LM-Polygraph
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- **License:** https://github.com/IINemo/lm-polygraph/blob/main/LICENSE.md
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** https://github.com/IINemo/lm-polygraph
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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This dataset should be used for performing benchmarks on LM-polygraph.
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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This dataset should not be used for further dataset preprocessing.
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## Dataset Structure
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<!-- 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. -->
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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.
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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.
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## Dataset Creation
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### Curation Rationale
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<!-- Motivation for the creation of this dataset. -->
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This dataset is created in order to separate dataset creation code from benchmarking code.
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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#### Data Collection and Processing
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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Data is collected from https://huggingface.co/datasets/wmt19 and processed by using build_dataset.py script in repository.
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#### Who are the source data producers?
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<!-- 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. -->
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People who created https://huggingface.co/datasets/wmt19
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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This dataset contains the same biases, risks, and limitations as its source dataset https://huggingface.co/datasets/wmt19
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users should be made aware of the risks, biases and limitations of the dataset.
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