Update README.md

README.md

@@ -86,42 +86,62 @@ This dataset is a collection of various NLI datasets in Czech and English, trans
 ### Dataset Description
 
 <!-- Provide a longer summary of what this dataset is. -->
-
-
+This dataset is a collection of English and Czech NLI datasets. Its primary purpose is instruction tuning (supervised fine tuning) of decoder LLMs. The used datasets were converted using a FLAN-like templates.
 
 - **Curated by:** Artificial Intelligence Center, FEE, CTU in Prague
 - **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]
+### Dataset Sources
 
 <!-- Provide the basic links for the dataset. -->
+The dataset consists of the following datasets:
+
+**English**
+- [FEVER](https://huggingface.co/datasets/ctu-aic/enfever_nli) - FEVER transformed for NLI
+- [AVeriTeC](https://huggingface.co/chenxwh/AVeriTeC) - train and development gold splits with concated question-answer pairs as the evidence
+- [SNLI](https://huggingface.co/datasets/stanfordnlp/snli)
+- [ANLI](https://huggingface.co/datasets/facebook/anli)
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+**Czech**
+- [CsFEVER-NLI](https://huggingface.co/datasets/ctu-aic/csfever_nli) - FEVER translated to Czech using Deepl translator
+- [CtkFACTS-NLI](https://huggingface.co/datasets/ctu-aic/ctkfacts_nli) - Original Czech NLI dataset
+- [SNLI_CS](https://huggingface.co/datasets/ctu-aic/snli_cs) - SNLI translated to Czech using Google translator
+- [ANLI_CS](https://huggingface.co/datasets/ctu-aic/anli_cs) - ANLI translated to Czech
 
 ## Uses
 
 <!-- Address questions around how the dataset is intended to be used. -->
+The dataset is intended for simillar usage as the original FLAN dataset. Its main purpose is instruction tuning (supervised fine tuning) of decoder LLMs on NLI task.
 
 ### Direct Use
 
 <!-- This section describes suitable use cases for the dataset. -->
 
-[More Information Needed]
+For direct usage there is column conversations, which can be directly used for training using Transformers and Transformers-related libraries.
 
 ### Out-of-Scope Use
 
 <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
 
-[More Information Needed]
+This collection is not directly intended for training decoder models, however, it can be transformed for this purposes as well.
 
 ## 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]
+The datasets consists of two language subsets - cs (Czech), en (English)
+Each of the subsets contains following columns:
+- **id** (str) - identifier, unique only in the dataset of origin
+- **premise** (str) - premise (NLI), evidence (fact-checking)
+- **hypothesis** (str) - hypothesis (NLI), claim (fact-checking)
+- **answer** (str) - correct answer to the NLI/fact-checking question
+- **dataset** (str) - the original datasets, which is source of the data
+- **translated** (bool) - true if the data point is translated from other language
+- **input** (str) - input created using FLAN-like template using *premise*, *hypothesis* and *answer*
+- **output** (str) - expected output created according to the randomly chosed FLAN-like template.
+- **conversation** (List[Dict[str, str]]) - Hugging Face Transformers-compatible conversation style format, composed from *input* and *output*, which can be directly used for instruction tuning (LLM instruction template can be directly applied)
+
 
 ## Dataset Creation
 
@@ -129,53 +149,24 @@ This dataset is a collection of various NLI datasets in Czech and English, trans
 
 <!-- Motivation for the creation of this dataset. -->
 
-[More Information Needed]
+The creation was motivated by the nonexistence of any simillar collection with FLAN-like instructions for the Czech language.
 
 ### 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?
-
-<!-- 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. -->
-
-[More Information Needed]
-
-#### 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. -->
-
-[More Information Needed]
+For the original data sources please refer to the original datasets.
 
 ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-[More Information Needed]
+This collection contains the biases, risks and limitations of the underlying datasets. Moreover, other limitation is that the variety of prompt templates is limited to 10 per dataset.
 
 ### 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. More information needed for further recommendations.
+Users should be made aware of the risks, biases and limitations of the dataset.
 
 ## Citation [TBD]
 
@@ -185,24 +176,6 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 
 [More Information Needed]
 
-<!-- **APA:**
-
-[More Information Needed]
-
-## Glossary [optional] -->
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> -->
-
-[More Information Needed]
-
-<!-- ## More Information [optional]
-
-[More Information Needed]
-
-## Dataset Card Authors [optional]
-
-[More Information Needed] -->
-
 ## Dataset Card Contact
 
-[More Information Needed]
+If there is any problem or question, please use the dataset discussion here on Huggingface.