Datasets:

DNA-LLM
/

gene_finding_benchmark_v1

@@ -50,7 +50,6 @@ Genomic Dataset designed for evaluating and benchmarking gene prediction algorit
 <!-- This section describes suitable use cases for the dataset. -->
 - **Gene prediction algorithm benchmarking:** Evaluating the performance of computational methods for identifying genes in DNA sequences
 - **Machine learning model training:** Training models for genomic sequence analysis and gene identification
-[More Information Needed]
 ### Out-of-Scope Use
@@ -58,8 +57,6 @@ Genomic Dataset designed for evaluating and benchmarking gene prediction algorit
 - **Clinical diagnostics:** Not suitable for real-time clinical decision making
 - **Medical applications:** Not intended for direct medical diagnosis or treatment
-[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. -->
@@ -67,8 +64,6 @@ Genomic Dataset designed for evaluating and benchmarking gene prediction algorit
 - **seq:** DNA nucleotide sequence (A, T, G, C) - the input genomic sequence
 - **labels:** Gene annotation labels for the sequence - indicating gene structure elements
-[More Information Needed]
 ## Dataset Creation
 ### Curation Rationale
@@ -80,7 +75,6 @@ The dataset was created to address the need for standardized benchmarking in com
 - **Research reproducibility:** Providing a common dataset for comparing different approaches
 - **Algorithm development:** Supporting the development of more accurate gene finding methods
-[More Information Needed]
 ### Source Data
@@ -92,14 +86,11 @@ The dataset was created to address the need for standardized benchmarking in com
 - Genomic sequences sourced from the GENCODE 2021 annotation database
-[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. -->
 - **GENCODE consortium:** International collaboration of research institutions
-[More Information Needed]
 ### Annotations [optional]
@@ -135,7 +126,7 @@ The dataset was created to address the need for standardized benchmarking in com
 Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-## Citation [optional]
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
@@ -154,14 +145,10 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 }
 ```
-[More Information Needed]
 **APA:**
 Frankish, A., Diekhans, M., Jungreis, I., Lagarde, J., Loveland, J. E., Mudge, J. M., Sisu, C., Wright, J. C., Armstrong, J., Barnes, I., & others. (2021). GENCODE 2021. *Nucleic acids research*, *49*(D1), D916-D923.
-[More Information Needed]
 ## Glossary [optional]
 <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

 <!-- This section describes suitable use cases for the dataset. -->
 - **Gene prediction algorithm benchmarking:** Evaluating the performance of computational methods for identifying genes in DNA sequences
 - **Machine learning model training:** Training models for genomic sequence analysis and gene identification
 ### Out-of-Scope Use
 - **Clinical diagnostics:** Not suitable for real-time clinical decision making
 - **Medical applications:** Not intended for direct medical diagnosis or treatment
 ## 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. -->
 - **seq:** DNA nucleotide sequence (A, T, G, C) - the input genomic sequence
 - **labels:** Gene annotation labels for the sequence - indicating gene structure elements
 ## Dataset Creation
 ### Curation Rationale
 - **Research reproducibility:** Providing a common dataset for comparing different approaches
 - **Algorithm development:** Supporting the development of more accurate gene finding methods
 ### Source Data
 - Genomic sequences sourced from the GENCODE 2021 annotation database
 #### 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. -->
 - **GENCODE consortium:** International collaboration of research institutions
 ### Annotations [optional]
 Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+## Citation
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 }
 ```
 **APA:**
 Frankish, A., Diekhans, M., Jungreis, I., Lagarde, J., Loveland, J. E., Mudge, J. M., Sisu, C., Wright, J. C., Armstrong, J., Barnes, I., & others. (2021). GENCODE 2021. *Nucleic acids research*, *49*(D1), D916-D923.
 ## Glossary [optional]
 <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->