README.md

---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: premise
    dtype: string
  - name: hypothesis
    dtype: string
  - name: answer
    dtype: string
  - name: dataset
    dtype: string
  - name: translated
    dtype: bool
  - name: input
    dtype: string
  - name: output
    dtype: string
  - name: conversations
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  splits:
  - name: train
    num_bytes: 864378584
    num_examples: 923646
  - name: validation
    num_bytes: 25124637
    num_examples: 23541
  - name: test
    num_bytes: 23873116
    num_examples: 23023
  download_size: 285523301
  dataset_size: 913376337
configs:
- config_name: en
  data_files:
  - split: train
    path: en/train-*
  - split: validation
    path: en/validation-*
  - split: test
    path: en/test-*
- config_name: cs
  data_files:
  - split: train
    path: cs/train-*
  - split: validation
    path: cs/validation-*
  - split: test
    path: cs/test-*
license: cc-by-nc-sa-4.0
task_categories:
- text-generation
- text-classification
language:
- cs
- en
tags:
- NLI
size_categories:
- 1M<n<10M
source_datasets:
- ctu-aic/enfever_nli
- facebook/anli
- stanfordnlp/snli
- chenxwh/AVeriTeC
- ctu-aic/anli_cs
- ctu-aic/snli_cs
- ctu-aic/csfever_nli
- ctu-aic/ctkfacts_nli
multilinguality:
- multilingual
---

# Dataset Card for Natural Language Inference Instruction Tuning Collection

<!-- Provide a quick summary of the dataset. -->
This dataset is a collection of various NLI datasets in Czech and English, transformed into an instruction tuning format based on the FLAN approach.

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** Artificial Intelligence Center, FEE, CTU in Prague
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- **Shared by [optional]:** [More Information Needed] -->
- **Language(s) (NLP):** Czech (cs, ces), English (en)
- **License:** [cc-by-nc-sa-4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed)

### Dataset Sources [optional]

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- **Repository:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[More Information Needed]

## 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. -->

[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### 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. -->

[More Information Needed]

#### Who are the source data producers?

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#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

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## Bias, Risks, and Limitations

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[More Information Needed]

### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [TBD]

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**BibTeX:**

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## Glossary [optional] -->

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> -->

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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