Datasets:

Qurrent
/

RES-Q

@@ -1,150 +1,58 @@
 ---
 configs:
 - config_name: default
   data_files:
   - split: test
-    path: "dataset.json"
-license: mit
-language:
-- en
-size_categories:
-- n<1K
 ---
-# Dataset Card for Dataset Name
-<!-- Provide a quick summary of the dataset. -->
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
-## Dataset Details
-### Dataset Description
-<!-- Provide a longer summary of what this dataset is. -->
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-### Dataset Sources [optional]
-<!-- Provide the basic links for the dataset. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **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?
-<!-- 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]
-### Annotations [optional]
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-#### 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]
-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### 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.
-## 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. -->
-**BibTeX:**
-[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]

 ---
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: repo_url
+    dtype: string
+  - name: instruction
+    dtype: string
+  - name: parent_commit
+    dtype: string
+  - name: test_script
+    dtype: string
+  - name: testbed_environment
+    dtype: string
+  - name: requirements_txt
+    dtype: string
+  - name: solution_commit
+    dtype: string
+  - name: solution_patch
+    dtype: string
+  - name: modified_files
+    dtype: string
+  - name: language
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 4645427
+    num_examples: 100
 configs:
 - config_name: default
   data_files:
   - split: test
+    path: dataset.json
 ---
+### Dataset Summary
+CoderEval is a codebase editing benchmark based on compact, natural language instructions. The task is to, given an edit instruction and a codebase, produce a patch file that makes the correct edit to the codebase.
+The dataset was released as part of [CoderEval: Evaluating the Capability of Language Models in Large-Scale Software Development](https://arxiv.org/abs/[ARXIV_LINK])
+### Dataset Structure
+An example of a CoderEval task instance is as follows:
+```
+id (str) - A unique identifier for the task instance.
+repo_url (str) - The URL of the repository involved in the task.
+instruction (str) - The repository edit instruction.
+parent_commit (str) - The commit hash of the repository representing the HEAD of the repository immediately before the instruction was carried out.
+test_script (str) - The task's test suite as a python script to be run from the root of the repository.
+testbed_environment (str) - The python version used to run the test suite.
+requirements_txt (str) - The pip package dependencies required to run the test suite.
+solution_commit (str) - The commit hash of the repository representing the HEAD of the repository immediately after the instruction was carried out.
+solution_patch (str) - The patch in the unified diff format representing the difference between the parent and solution commit.
+modified_files (str) - A dictionary of files and their content that were modified by the solution commit.
+language (str) - The primary programming language of the repository.
+```