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DangFutures/distil | DangFutures | 2023-12-04T03:39:10Z | 0 | 0 | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
]
| null | 2023-12-04T03:37:44Z | ---
size_categories: n<1K
tags:
- rlfh
- argilla
- human-feedback
---
# Dataset Card for distil
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
## Dataset Description
- **Homepage:** https://argilla.io
- **Repository:** https://github.com/argilla-io/argilla
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset contains:
* A dataset configuration file conforming to the Argilla dataset format named `argilla.yaml`. This configuration file will be used to configure the dataset when using the `FeedbackDataset.from_huggingface` method in Argilla.
* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `FeedbackDataset.from_huggingface` and can be loaded independently using the `datasets` library via `load_dataset`.
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
### Load with Argilla
To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
```python
import argilla as rg
ds = rg.FeedbackDataset.from_huggingface("DangFutures/distil")
```
### Load with `datasets`
To load this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
```python
from datasets import load_dataset
ds = load_dataset("DangFutures/distil")
```
### Supported Tasks and Leaderboards
This dataset can contain [multiple fields, questions and responses](https://docs.argilla.io/en/latest/conceptual_guides/data_model.html#feedback-dataset) so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the [Dataset Structure section](#dataset-structure).
There are no leaderboards associated with this dataset.
### Languages
[More Information Needed]
## Dataset Structure
### Data in Argilla
The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
The **fields** are the dataset records themselves, for the moment just text fields are supported. These are the ones that will be used to provide responses to the questions.
| Field Name | Title | Type | Required | Markdown |
| ---------- | ----- | ---- | -------- | -------- |
| input | input | text | True | False |
| generations-1 | generations-1 | text | True | False |
| generations-2 | generations-2 | text | True | False |
| generations-3 | generations-3 | text | True | False |
The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
| Question Name | Title | Type | Required | Description | Values/Labels |
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
| generations-1-rating | What's the rating for generations-1? | rating | True | N/A | [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |
| generations-2-rating | What's the rating for generations-2? | rating | True | N/A | [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |
| generations-3-rating | What's the rating for generations-3? | rating | True | N/A | [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |
| rating-rationale | What's the rationale behind each rating? | text | True | N/A | N/A |
The **suggestions** are human or machine generated recommendations for each question to assist the annotator during the annotation process, so those are always linked to the existing questions, and named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above, but the column name is appended with "-suggestion" and the metadata is appended with "-suggestion-metadata".
The **metadata** is a dictionary that can be used to provide additional information about the dataset record. This can be useful to provide additional context to the annotators, or to provide additional information about the dataset record itself. For example, you can use this to provide a link to the original source of the dataset record, or to provide additional information about the dataset record itself, such as the author, the date, or the source. The metadata is always optional, and can be potentially linked to the `metadata_properties` defined in the dataset configuration file in `argilla.yaml`.
| Metadata Name | Title | Type | Values | Visible for Annotators |
| ------------- | ----- | ---- | ------ | ---------------------- |
| length-input | length-input | integer | None - None | True |
| length-generations-1 | length-generations-1 | integer | None - None | True |
| rating-generations-1 | rating-generations-1 | float | None - None | True |
| length-generations-2 | length-generations-2 | integer | None - None | True |
| rating-generations-2 | rating-generations-2 | float | None - None | True |
| length-generations-3 | length-generations-3 | integer | None - None | True |
| rating-generations-3 | rating-generations-3 | float | None - None | True |
| distance-best-rating | distance-best-rating | float | None - None | True |
The **guidelines**, are optional as well, and are just a plain string that can be used to provide instructions to the annotators. Find those in the [annotation guidelines](#annotation-guidelines) section.
### Data Instances
An example of a dataset instance in Argilla looks as follows:
```json
{
"external_id": null,
"fields": {
"generations-1": "Negotiating a data processing agreement (DPA) that meets the requirements of Article 28 of the General Data Protection Regulation (GDPR) involves several key steps. Here\u0027s an overview of the process:\n\n1. Identify the relevant parties: Determine who the data controller (the entity that determines the purpose and means of processing personal data) and the data processor (the entity processing personal data on behalf of the controller) are in the specific context of your agreement.\n\n2. Understand obligations: Familiarize yourself with the responsibilities and obligations outlined in Article 28 of the GDPR. This includes ensuring that the processor only processes personal data on documented instructions from the controller, implementing appropriate security measures, and complying with data breach reporting obligations, among other requirements.\n\n3. Assess the scope of services: Clearly define the purpose and scope of data processing in the agreement. Specify what types of personal data will be processed, how it will be processed, and the specific purposes for which it will be processed. It\u0027s important to ensure that the processing activities are in line with the controller\u0027s instructions.\n\n4. Security and confidentiality measures: Define the security measures to be implemented by the processor to protect the personal data. This may include encryption, access controls, regular security audits, and data breach prevention and response procedures. Emphasize the importance of confidentiality obligations and specify the terms for handling and protecting data.\n\n5. Specific instructions: Describe the specific instructions given by the controller to the processor regarding data processing activities. This could include instructions on data deletion, access restrictions, and the transfer of personal data outside the European Economic Area (EEA).\n\n6. Sub-processing arrangements: If the processor relies on sub-processors to carry out data processing activities, outline the conditions under which these sub-processors may be engaged. Ensure that the processor has appropriate contractual agreements with sub-processors to maintain the same level of data protection.\n\n7. Data subject rights and assistance: Clearly define the processor\u0027s obligations in assisting the controller in responding to data subject requests and fulfilling the rights of data subjects, such as right to access, rectification, erasure, and data portability.\n\n8. Audits and compliance: Establish provisions for audits and inspections to verify the processor\u0027s compliance with the agreement and the GDPR. This may include defining the rights of the controller to conduct audits or appointing an independent auditor to assess compliance.\n\n9. Term and termination: Specify the duration of the agreement and conditions for termination or renewal. Consider including provisions that ensure the return or deletion of personal data by the processor once the processing activities are completed.\n\n10. Review and legal advice: Ensure that the DPA is reviewed by legal experts with knowledge of data protection laws to ensure compliance with Article 28 of the GDPR and any other relevant local data protection regulations.\n\nRemember, negotiating a data processing agreement can involve complex legal considerations. It\u0027s advisable to consult legal professionals who specialize in data protection law to ensure compliance with the specific requirements of the GDPR in your jurisdiction.",
"generations-2": "Negotiating a data processing agreement (DPA) that complies with Article 28 of the General Data Protection Regulation (GDPR) involves several steps. Here is an overview of the process:\n\n1. Determine the roles: Identify the data controller (the entity that determines the purposes and means of processing personal data) and the data processor (the entity processing data on behalf of the controller).\n\n2. Understand the requirements: Familiarize yourself with the specific requirements outlined in Article 28 of the GDPR. Some key provisions include instructions on processing, security measures, sub-processing, data subject rights, and breach notification.\n\n3. Conduct a data protection impact assessment (DPIA): Consider conducting a DPIA to assess and mitigate potential risks associated with the data processing activities. Although not always mandatory, a DPIA helps demonstrate compliance and ensures appropriate safeguards are in place.\n\n4. Identify the necessary clauses: Draft or review a DPA containing the required contractual clauses as prescribed by Article 28. These clauses typically cover topics such as the purposes of processing, data subjects\u0027 rights, security measures, confidentiality, and sub-processing arrangements.\n\n5. Review the controller\u0027s instructions: Ensure that the DPA accurately reflects the instructions provided by the data controller regarding the nature and purpose of the processing, the types of data involved, the duration of processing, and any specific obligations.\n\n6. Assess technical and organizational measures: Evaluate the data processor\u0027s security measures and ensure they align with the GDPR\u0027s requirements for protecting personal data. This includes measures such as data encryption, access controls, regular backups, and employee training.\n\n7. Address sub-processing: If the data processor intends to engage sub-processors, ensure that proper contracts or agreements are in place with these sub-processors, including the same GDPR-compliant provisions as outlined in the DPA.\n\n8. Define data subject rights: Clearly articulate how the data processor will assist the data controller in fulfilling data subject rights, such as the right to access, rectify, restrict processing, and erase personal data.\n\n9. Include data breach notification procedures: Establish clear procedures and timelines for reporting any personal data breaches to the data controller. This should encompass timely communication, assistance with investigations, and cooperation in mitigating the effects of any breaches.\n\n10. Seek legal advice if needed: Given the complexities of GDPR and DPAs, it may be beneficial to involve legal professionals experienced in data protection and privacy laws to review and advise on the DPA.\n\nRemember, negotiation is a collaborative process, and both parties should work together to ensure that the DPA is in compliance with Article 28 of the GDPR.",
"generations-3": "Negotiating a data processing agreement that meets the requirements of Article 28 of the GDPR involves several steps. Here is a detailed process to guide you:\n\n1. Understand the Requirements: Familiarize yourself with the provisions of Article 28 of the GDPR. This article lays out the obligations that both the data controller and the data processor must fulfill.\n\n2. Identify the Parties: Determine who will act as the data controller and the data processor in the specific data processing arrangement. The data controller is typically the entity that collects and determines the purposes and means of processing personal data, while the data processor is the entity that processes the data on behalf of the controller.\n\n3. Assess Data Processing Activities: Identify and document all the data processing activities that the data processor will undertake on behalf of the data controller. This includes specifying the nature of the data, the purpose of the processing, the categories of data subjects involved, and the duration of the processing.\n\n4. Review Data Security Measures: Evaluate the data security measures in place to ensure they are in line with the GDPR\u0027s requirements. This includes measures such as encryption, access controls, data breach notification procedures, and regular security audits.\n\n5. Define Data Subject Rights: Specify how the data processor will assist the data controller in fulfilling data subject rights under the GDPR. This includes facilitating requests for data access, rectification, erasure, and data portability.\n\n6. Determine Subprocessing Arrangements: If the data processor intends to engage any sub-processors, ensure that proper safeguards are put in place. The agreement must require sub-processors to adhere to the same data protection obligations as the primary data processor.\n\n7. Include Confidentiality Clauses: Ensure that the agreement includes confidentiality obligations on the part of the data processor and any sub-processors involved. This protects the confidentiality and security of the personal data being processed.\n\n8. Specify Compliance Audits: Outline the right of the data controller to conduct audits or inspections to ensure the data processor\u0027s compliance with the GDPR. This may include provisions for providing necessary documentation and allowing on-site inspections.\n\n9. Review Indemnification and Liability: Determine the liability and indemnification provisions for any data breaches or non-compliance with the GDPR. Clearly define the responsibilities, limitations, and financial consequences of such incidents.\n\n10. Execute and Maintain the Agreement: Once the negotiation process is complete, ensure that the data processing agreement is signed by both parties. Keep the agreement up to date, review it periodically, and make any necessary amendments to reflect changes in the data processing activities or legal requirements.\n\nPlease note that while this information provides a general process for negotiating a data processing agreement, it is strongly advised to consult with legal professionals who specialize in data protection and the GDPR to ensure compliance with all relevant regulations.",
"input": "Detail the process of negotiating a data processing agreement that meets the requirements of Article 28 of the GDPR."
},
"metadata": {
"distance-best-rating": 1.0,
"length-generations-1": 3466,
"length-generations-2": 2909,
"length-generations-3": 3178,
"length-input": 116,
"rating-generations-1": 3.0,
"rating-generations-2": 3.0,
"rating-generations-3": 4.0
},
"responses": [
{
"status": "submitted",
"user_id": "8e15ab4f-84ce-4531-a5e0-4401f900c319",
"values": {
"generations-1-rating": {
"value": 3
},
"generations-2-rating": {
"value": 3
},
"generations-3-rating": {
"value": 4
},
"rating-rationale": {
"value": "generations-1:\nThe text systematically outlines the steps for negotiating a data processing agreement while addressing GDPR Article 28 requirements. However, it doesn\u0027t mention \u0027negotiation strategies\u0027 or the negotiation process per se, which suggests partial compliance but neglects the more nuanced aspects of negotiation.\ngenerations-2:\nText 2 outlines an overview process for creating a data processing agreement and touches on Article 28 compliance. However, it falls slightly short in detailing the negotiation aspects, considering that it largely emphasizes the procedural and documentation aspects, not negotiation strategies or interpersonal negotiation particulars.\ngenerations-3:\nText 3 offers a thorough outline of the steps involved in crafting a data processing agreement compliant with Article 28 of the GDPR. While it includes comprehensive content related to compliance, it doesn\u0027t deeply delve into negotiation dynamics or advice on how to interact with other negotiating parties. It exhibits minor deviations by focusing more on the compliance checklist than the process of negotiation.\n"
}
}
}
],
"suggestions": [
{
"agent": null,
"question_name": "rating-rationale",
"score": null,
"type": null,
"value": "generations-1:\nThe text systematically outlines the steps for negotiating a data processing agreement while addressing GDPR Article 28 requirements. However, it doesn\u0027t mention \u0027negotiation strategies\u0027 or the negotiation process per se, which suggests partial compliance but neglects the more nuanced aspects of negotiation.\ngenerations-2:\nText 2 outlines an overview process for creating a data processing agreement and touches on Article 28 compliance. However, it falls slightly short in detailing the negotiation aspects, considering that it largely emphasizes the procedural and documentation aspects, not negotiation strategies or interpersonal negotiation particulars.\ngenerations-3:\nText 3 offers a thorough outline of the steps involved in crafting a data processing agreement compliant with Article 28 of the GDPR. While it includes comprehensive content related to compliance, it doesn\u0027t deeply delve into negotiation dynamics or advice on how to interact with other negotiating parties. It exhibits minor deviations by focusing more on the compliance checklist than the process of negotiation.\n"
},
{
"agent": null,
"question_name": "generations-1-rating",
"score": null,
"type": null,
"value": 3
},
{
"agent": null,
"question_name": "generations-2-rating",
"score": null,
"type": null,
"value": 3
},
{
"agent": null,
"question_name": "generations-3-rating",
"score": null,
"type": null,
"value": 4
}
],
"vectors": {}
}
```
While the same record in HuggingFace `datasets` looks as follows:
```json
{
"external_id": null,
"generations-1": "Negotiating a data processing agreement (DPA) that meets the requirements of Article 28 of the General Data Protection Regulation (GDPR) involves several key steps. Here\u0027s an overview of the process:\n\n1. Identify the relevant parties: Determine who the data controller (the entity that determines the purpose and means of processing personal data) and the data processor (the entity processing personal data on behalf of the controller) are in the specific context of your agreement.\n\n2. Understand obligations: Familiarize yourself with the responsibilities and obligations outlined in Article 28 of the GDPR. This includes ensuring that the processor only processes personal data on documented instructions from the controller, implementing appropriate security measures, and complying with data breach reporting obligations, among other requirements.\n\n3. Assess the scope of services: Clearly define the purpose and scope of data processing in the agreement. Specify what types of personal data will be processed, how it will be processed, and the specific purposes for which it will be processed. It\u0027s important to ensure that the processing activities are in line with the controller\u0027s instructions.\n\n4. Security and confidentiality measures: Define the security measures to be implemented by the processor to protect the personal data. This may include encryption, access controls, regular security audits, and data breach prevention and response procedures. Emphasize the importance of confidentiality obligations and specify the terms for handling and protecting data.\n\n5. Specific instructions: Describe the specific instructions given by the controller to the processor regarding data processing activities. This could include instructions on data deletion, access restrictions, and the transfer of personal data outside the European Economic Area (EEA).\n\n6. Sub-processing arrangements: If the processor relies on sub-processors to carry out data processing activities, outline the conditions under which these sub-processors may be engaged. Ensure that the processor has appropriate contractual agreements with sub-processors to maintain the same level of data protection.\n\n7. Data subject rights and assistance: Clearly define the processor\u0027s obligations in assisting the controller in responding to data subject requests and fulfilling the rights of data subjects, such as right to access, rectification, erasure, and data portability.\n\n8. Audits and compliance: Establish provisions for audits and inspections to verify the processor\u0027s compliance with the agreement and the GDPR. This may include defining the rights of the controller to conduct audits or appointing an independent auditor to assess compliance.\n\n9. Term and termination: Specify the duration of the agreement and conditions for termination or renewal. Consider including provisions that ensure the return or deletion of personal data by the processor once the processing activities are completed.\n\n10. Review and legal advice: Ensure that the DPA is reviewed by legal experts with knowledge of data protection laws to ensure compliance with Article 28 of the GDPR and any other relevant local data protection regulations.\n\nRemember, negotiating a data processing agreement can involve complex legal considerations. It\u0027s advisable to consult legal professionals who specialize in data protection law to ensure compliance with the specific requirements of the GDPR in your jurisdiction.",
"generations-1-rating": [
{
"status": "submitted",
"user_id": "8e15ab4f-84ce-4531-a5e0-4401f900c319",
"value": 3
}
],
"generations-1-rating-suggestion": 3,
"generations-1-rating-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"generations-2": "Negotiating a data processing agreement (DPA) that complies with Article 28 of the General Data Protection Regulation (GDPR) involves several steps. Here is an overview of the process:\n\n1. Determine the roles: Identify the data controller (the entity that determines the purposes and means of processing personal data) and the data processor (the entity processing data on behalf of the controller).\n\n2. Understand the requirements: Familiarize yourself with the specific requirements outlined in Article 28 of the GDPR. Some key provisions include instructions on processing, security measures, sub-processing, data subject rights, and breach notification.\n\n3. Conduct a data protection impact assessment (DPIA): Consider conducting a DPIA to assess and mitigate potential risks associated with the data processing activities. Although not always mandatory, a DPIA helps demonstrate compliance and ensures appropriate safeguards are in place.\n\n4. Identify the necessary clauses: Draft or review a DPA containing the required contractual clauses as prescribed by Article 28. These clauses typically cover topics such as the purposes of processing, data subjects\u0027 rights, security measures, confidentiality, and sub-processing arrangements.\n\n5. Review the controller\u0027s instructions: Ensure that the DPA accurately reflects the instructions provided by the data controller regarding the nature and purpose of the processing, the types of data involved, the duration of processing, and any specific obligations.\n\n6. Assess technical and organizational measures: Evaluate the data processor\u0027s security measures and ensure they align with the GDPR\u0027s requirements for protecting personal data. This includes measures such as data encryption, access controls, regular backups, and employee training.\n\n7. Address sub-processing: If the data processor intends to engage sub-processors, ensure that proper contracts or agreements are in place with these sub-processors, including the same GDPR-compliant provisions as outlined in the DPA.\n\n8. Define data subject rights: Clearly articulate how the data processor will assist the data controller in fulfilling data subject rights, such as the right to access, rectify, restrict processing, and erase personal data.\n\n9. Include data breach notification procedures: Establish clear procedures and timelines for reporting any personal data breaches to the data controller. This should encompass timely communication, assistance with investigations, and cooperation in mitigating the effects of any breaches.\n\n10. Seek legal advice if needed: Given the complexities of GDPR and DPAs, it may be beneficial to involve legal professionals experienced in data protection and privacy laws to review and advise on the DPA.\n\nRemember, negotiation is a collaborative process, and both parties should work together to ensure that the DPA is in compliance with Article 28 of the GDPR.",
"generations-2-rating": [
{
"status": "submitted",
"user_id": "8e15ab4f-84ce-4531-a5e0-4401f900c319",
"value": 3
}
],
"generations-2-rating-suggestion": 3,
"generations-2-rating-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"generations-3": "Negotiating a data processing agreement that meets the requirements of Article 28 of the GDPR involves several steps. Here is a detailed process to guide you:\n\n1. Understand the Requirements: Familiarize yourself with the provisions of Article 28 of the GDPR. This article lays out the obligations that both the data controller and the data processor must fulfill.\n\n2. Identify the Parties: Determine who will act as the data controller and the data processor in the specific data processing arrangement. The data controller is typically the entity that collects and determines the purposes and means of processing personal data, while the data processor is the entity that processes the data on behalf of the controller.\n\n3. Assess Data Processing Activities: Identify and document all the data processing activities that the data processor will undertake on behalf of the data controller. This includes specifying the nature of the data, the purpose of the processing, the categories of data subjects involved, and the duration of the processing.\n\n4. Review Data Security Measures: Evaluate the data security measures in place to ensure they are in line with the GDPR\u0027s requirements. This includes measures such as encryption, access controls, data breach notification procedures, and regular security audits.\n\n5. Define Data Subject Rights: Specify how the data processor will assist the data controller in fulfilling data subject rights under the GDPR. This includes facilitating requests for data access, rectification, erasure, and data portability.\n\n6. Determine Subprocessing Arrangements: If the data processor intends to engage any sub-processors, ensure that proper safeguards are put in place. The agreement must require sub-processors to adhere to the same data protection obligations as the primary data processor.\n\n7. Include Confidentiality Clauses: Ensure that the agreement includes confidentiality obligations on the part of the data processor and any sub-processors involved. This protects the confidentiality and security of the personal data being processed.\n\n8. Specify Compliance Audits: Outline the right of the data controller to conduct audits or inspections to ensure the data processor\u0027s compliance with the GDPR. This may include provisions for providing necessary documentation and allowing on-site inspections.\n\n9. Review Indemnification and Liability: Determine the liability and indemnification provisions for any data breaches or non-compliance with the GDPR. Clearly define the responsibilities, limitations, and financial consequences of such incidents.\n\n10. Execute and Maintain the Agreement: Once the negotiation process is complete, ensure that the data processing agreement is signed by both parties. Keep the agreement up to date, review it periodically, and make any necessary amendments to reflect changes in the data processing activities or legal requirements.\n\nPlease note that while this information provides a general process for negotiating a data processing agreement, it is strongly advised to consult with legal professionals who specialize in data protection and the GDPR to ensure compliance with all relevant regulations.",
"generations-3-rating": [
{
"status": "submitted",
"user_id": "8e15ab4f-84ce-4531-a5e0-4401f900c319",
"value": 4
}
],
"generations-3-rating-suggestion": 4,
"generations-3-rating-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"input": "Detail the process of negotiating a data processing agreement that meets the requirements of Article 28 of the GDPR.",
"metadata": "{\"length-input\": 116, \"length-generations-1\": 3466, \"length-generations-2\": 2909, \"length-generations-3\": 3178, \"rating-generations-1\": 3.0, \"rating-generations-2\": 3.0, \"rating-generations-3\": 4.0, \"distance-best-rating\": 1.0}",
"rating-rationale": [
{
"status": "submitted",
"user_id": "8e15ab4f-84ce-4531-a5e0-4401f900c319",
"value": "generations-1:\nThe text systematically outlines the steps for negotiating a data processing agreement while addressing GDPR Article 28 requirements. However, it doesn\u0027t mention \u0027negotiation strategies\u0027 or the negotiation process per se, which suggests partial compliance but neglects the more nuanced aspects of negotiation.\ngenerations-2:\nText 2 outlines an overview process for creating a data processing agreement and touches on Article 28 compliance. However, it falls slightly short in detailing the negotiation aspects, considering that it largely emphasizes the procedural and documentation aspects, not negotiation strategies or interpersonal negotiation particulars.\ngenerations-3:\nText 3 offers a thorough outline of the steps involved in crafting a data processing agreement compliant with Article 28 of the GDPR. While it includes comprehensive content related to compliance, it doesn\u0027t deeply delve into negotiation dynamics or advice on how to interact with other negotiating parties. It exhibits minor deviations by focusing more on the compliance checklist than the process of negotiation.\n"
}
],
"rating-rationale-suggestion": "generations-1:\nThe text systematically outlines the steps for negotiating a data processing agreement while addressing GDPR Article 28 requirements. However, it doesn\u0027t mention \u0027negotiation strategies\u0027 or the negotiation process per se, which suggests partial compliance but neglects the more nuanced aspects of negotiation.\ngenerations-2:\nText 2 outlines an overview process for creating a data processing agreement and touches on Article 28 compliance. However, it falls slightly short in detailing the negotiation aspects, considering that it largely emphasizes the procedural and documentation aspects, not negotiation strategies or interpersonal negotiation particulars.\ngenerations-3:\nText 3 offers a thorough outline of the steps involved in crafting a data processing agreement compliant with Article 28 of the GDPR. While it includes comprehensive content related to compliance, it doesn\u0027t deeply delve into negotiation dynamics or advice on how to interact with other negotiating parties. It exhibits minor deviations by focusing more on the compliance checklist than the process of negotiation.\n",
"rating-rationale-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
}
}
```
### Data Fields
Among the dataset fields, we differentiate between the following:
* **Fields:** These are the dataset records themselves, for the moment just text fields are supported. These are the ones that will be used to provide responses to the questions.
* **input** is of type `text`.
* **generations-1** is of type `text`.
* **generations-2** is of type `text`.
* **generations-3** is of type `text`.
* **Questions:** These are the questions that will be asked to the annotators. They can be of different types, such as `RatingQuestion`, `TextQuestion`, `LabelQuestion`, `MultiLabelQuestion`, and `RankingQuestion`.
* **generations-1-rating** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* **generations-2-rating** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* **generations-3-rating** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* **rating-rationale** is of type `text`.
* **Suggestions:** As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
* (optional) **generations-1-rating-suggestion** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* (optional) **generations-2-rating-suggestion** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* (optional) **generations-3-rating-suggestion** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* (optional) **rating-rationale-suggestion** is of type `text`.
Additionally, we also have two more fields that are optional and are the following:
* **metadata:** This is an optional field that can be used to provide additional information about the dataset record. This can be useful to provide additional context to the annotators, or to provide additional information about the dataset record itself. For example, you can use this to provide a link to the original source of the dataset record, or to provide additional information about the dataset record itself, such as the author, the date, or the source. The metadata is always optional, and can be potentially linked to the `metadata_properties` defined in the dataset configuration file in `argilla.yaml`.
* **external_id:** This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.
### Data Splits
The dataset contains a single split, which is `train`.
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation guidelines
[More Information Needed]
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
FreedomIntelligence/HuatuoGPT2_sft_instruct_GPT4_50K | FreedomIntelligence | 2023-12-04T11:39:54Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T03:41:42Z | ---
license: apache-2.0
---
This dataset represents the supervised fine-tuning instructions for HuatuoGPT2, with all responses generated by GPT-4. We have made 50,000 entries of this dataset publicly available.
- **Repository:** https://github.com/FreedomIntelligence/HuatuoGPT-II | [
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|
minimindy/lora-checkpoint-50 | minimindy | 2023-12-04T05:58:17Z | 0 | 0 | [
"arxiv:1910.09700",
"region:us"
]
| null | 2023-12-04T04:01:57Z | ---
library_name: peft
base_model: baffo32/decapoda-research-llama-7B-hf
---
# Model Card for Model ID
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## Model Details
### Model Description
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## How to Get Started with the Model
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## Training Details
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#### Preprocessing [optional]
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## Environmental Impact
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
### Framework versions
- PEFT 0.6.3.dev0 | [
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|
shansuryajaya/arabic-architecture-test | shansuryajaya | 2023-12-04T04:12:15Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T04:12:09Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 2921299.0
num_examples: 30
download_size: 2922793
dataset_size: 2921299.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
ritabratamaiti/sinhalese-sentiment-alpaca | ritabratamaiti | 2023-12-04T04:46:55Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T04:46:52Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: smol_pippa_named_users
num_bytes: 678627
num_examples: 2704
- name: smol_pippa
num_bytes: 2722545
num_examples: 10814
download_size: 712169
dataset_size: 3401172
configs:
- config_name: default
data_files:
- split: smol_pippa_named_users
path: data/smol_pippa_named_users-*
- split: smol_pippa
path: data/smol_pippa-*
---
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|
frostymelonade/BOWS2-WOW-stego-classification | frostymelonade | 2023-12-04T05:01:22Z | 0 | 0 | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"steganography",
"region:us"
]
| [
"image-classification"
]
| 2023-12-04T04:50:18Z | ---
task_categories:
- image-classification
tags:
- steganography
size_categories:
- 10K<n<100K
pretty_name: 0.2 BPP stego classification from GBRASNET BOWS2 WOW
--- | [
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|
frostymelonade/BOWS2-S-UNIWARD-Stego-Classification | frostymelonade | 2023-12-04T05:32:51Z | 0 | 0 | [
"task_categories:image-classification",
"steganography",
"region:us"
]
| [
"image-classification"
]
| 2023-12-04T05:02:58Z | ---
task_categories:
- image-classification
tags:
- steganography
pretty_name: 0.2 BPP stego classification from GBRASNET BOWS2 S-UNIWARD
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|
akash140500/Predictive_Maintenance_Dataset | akash140500 | 2023-12-04T05:05:14Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T05:03:31Z | ---
license: apache-2.0
---
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|
Electrofried/promptmaster-data | Electrofried | 2023-12-04T05:14:42Z | 0 | 0 | [
"task_categories:text2text-generation",
"language:en",
"not-for-all-audiences",
"art",
"region:us"
]
| [
"text2text-generation"
]
| 2023-12-04T05:12:04Z | ---
dataset_info:
features:
- name: data1
dtype: string
- name: data2
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 6217630
num_examples: 3795
- name: validation
num_bytes: 731990
num_examples: 474
- name: test
num_bytes: 705376
num_examples: 475
download_size: 3287389
dataset_size: 7654996
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
task_categories:
- text2text-generation
language:
- en
tags:
- not-for-all-audiences
- art
--- | [
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|
BangumiBase/kaminomizoshirusekai | BangumiBase | 2023-12-04T08:33:31Z | 0 | 0 | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
]
| null | 2023-12-04T05:16:11Z | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Kami Nomi Zo Shiru Sekai
This is the image base of bangumi Kami Nomi zo Shiru Sekai, we detected 60 characters, 5684 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 331 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 1290 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 64 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 289 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 77 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 244 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 18 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 74 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 27 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 29 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 49 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 129 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 114 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 492 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 353 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 38 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 95 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 25 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 37 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 14 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 49 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 208 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 13 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 19 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 136 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 41 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 30 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 29 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 12 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 26 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 84 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 324 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 16 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 11 | [Download](33/dataset.zip) |  |  |  |  |  |  |  |  |
| 34 | 7 | [Download](34/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 35 | 17 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 25 | [Download](36/dataset.zip) |  |  |  |  |  |  |  |  |
| 37 | 18 | [Download](37/dataset.zip) |  |  |  |  |  |  |  |  |
| 38 | 50 | [Download](38/dataset.zip) |  |  |  |  |  |  |  |  |
| 39 | 21 | [Download](39/dataset.zip) |  |  |  |  |  |  |  |  |
| 40 | 5 | [Download](40/dataset.zip) |  |  |  |  |  | N/A | N/A | N/A |
| 41 | 51 | [Download](41/dataset.zip) |  |  |  |  |  |  |  |  |
| 42 | 10 | [Download](42/dataset.zip) |  |  |  |  |  |  |  |  |
| 43 | 7 | [Download](43/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 44 | 12 | [Download](44/dataset.zip) |  |  |  |  |  |  |  |  |
| 45 | 18 | [Download](45/dataset.zip) |  |  |  |  |  |  |  |  |
| 46 | 10 | [Download](46/dataset.zip) |  |  |  |  |  |  |  |  |
| 47 | 7 | [Download](47/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 48 | 14 | [Download](48/dataset.zip) |  |  |  |  |  |  |  |  |
| 49 | 20 | [Download](49/dataset.zip) |  |  |  |  |  |  |  |  |
| 50 | 22 | [Download](50/dataset.zip) |  |  |  |  |  |  |  |  |
| 51 | 19 | [Download](51/dataset.zip) |  |  |  |  |  |  |  |  |
| 52 | 7 | [Download](52/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 53 | 12 | [Download](53/dataset.zip) |  |  |  |  |  |  |  |  |
| 54 | 16 | [Download](54/dataset.zip) |  |  |  |  |  |  |  |  |
| 55 | 5 | [Download](55/dataset.zip) |  |  |  |  |  | N/A | N/A | N/A |
| 56 | 6 | [Download](56/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 57 | 23 | [Download](57/dataset.zip) |  |  |  |  |  |  |  |  |
| 58 | 6 | [Download](58/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| noise | 489 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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|
BangumiBase/kiminitodoke | BangumiBase | 2023-12-04T08:20:23Z | 0 | 0 | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
]
| null | 2023-12-04T05:16:29Z | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Kimi Ni Todoke
This is the image base of bangumi Kimi ni Todoke, we detected 31 characters, 4387 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 897 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 234 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 778 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 36 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 48 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 166 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 222 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 38 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 52 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 34 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 16 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 408 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 571 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 27 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 238 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 46 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 19 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 48 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 42 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 29 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 47 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 86 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 62 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 18 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 18 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 89 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 17 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 25 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 17 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 6 | [Download](29/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| noise | 53 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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|
BangumiBase/efatale | BangumiBase | 2023-12-04T06:58:35Z | 0 | 0 | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
]
| null | 2023-12-04T05:17:05Z | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Ef - A Tale
This is the image base of bangumi Ef - A Tale, we detected 21 characters, 2004 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 101 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 52 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 127 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 252 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 157 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 193 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 53 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 81 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 21 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 15 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 323 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 103 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 11 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 24 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 10 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 24 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 76 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 44 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 155 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 27 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 155 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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|
BangumiBase/kaichouwamaidsama | BangumiBase | 2023-12-04T07:11:45Z | 0 | 0 | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
]
| null | 2023-12-04T05:17:21Z | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Kaichou Wa Maid-sama!
This is the image base of bangumi Kaichou wa Maid-sama!, we detected 47 characters, 3607 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 60 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 46 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 6 | [Download](2/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 3 | 423 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 55 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 144 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 68 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 9 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 204 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 124 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 106 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 34 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 66 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 78 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 40 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 70 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 55 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 32 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 70 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 854 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 64 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 50 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 27 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 106 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 134 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 24 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 26 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 22 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 31 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 24 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 28 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 35 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 37 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 10 | [Download](33/dataset.zip) |  |  |  |  |  |  |  |  |
| 34 | 20 | [Download](34/dataset.zip) |  |  |  |  |  |  |  |  |
| 35 | 13 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 19 | [Download](36/dataset.zip) |  |  |  |  |  |  |  |  |
| 37 | 56 | [Download](37/dataset.zip) |  |  |  |  |  |  |  |  |
| 38 | 9 | [Download](38/dataset.zip) |  |  |  |  |  |  |  |  |
| 39 | 104 | [Download](39/dataset.zip) |  |  |  |  |  |  |  |  |
| 40 | 10 | [Download](40/dataset.zip) |  |  |  |  |  |  |  |  |
| 41 | 41 | [Download](41/dataset.zip) |  |  |  |  |  |  |  |  |
| 42 | 9 | [Download](42/dataset.zip) |  |  |  |  |  |  |  |  |
| 43 | 5 | [Download](43/dataset.zip) |  |  |  |  |  | N/A | N/A | N/A |
| 44 | 7 | [Download](44/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 45 | 12 | [Download](45/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 140 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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|
sordonia/sni-10k-flat | sordonia | 2023-12-04T13:49:06Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T05:32:08Z | ---
dataset_info:
features:
- name: source
dtype: string
- name: target
dtype: string
- name: task_name
dtype: string
- name: task_source
dtype: string
- name: split
dtype: string
splits:
- name: train
num_bytes: 715867937
num_examples: 549506
download_size: 204866337
dataset_size: 715867937
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "sni-10k-flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Sk4467/tamil_alpaca_dolly_51K | Sk4467 | 2023-12-04T13:24:45Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T05:33:33Z | ---
license: apache-2.0
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: text
dtype: string
- name: system_prompt
dtype: string
splits:
- name: train
num_bytes: 287556653
num_examples: 51876
download_size: 84685617
dataset_size: 287556653
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
kyujinpy/Open-platypus-Commercial | kyujinpy | 2023-12-04T05:52:34Z | 0 | 0 | [
"license:mit",
"arxiv:2308.07317",
"region:us"
]
| null | 2023-12-04T05:35:35Z | ---
license: mit
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
- name: instruction
dtype: string
- name: data_source
dtype: string
splits:
- name: train
num_bytes: 25149248
num_examples: 19079
download_size: 12772956
dataset_size: 25149248
---
# OpenPlatypus-Commercial version
This dataset is focused on improving LLM logical reasoning skills and was used to train the Platypus2 models. It is comprised of the following datasets, which were filtered using keyword search and then Sentence Transformers to remove questions with a similarity above 80%:
| Dataset Name | License Type |
|--------------------------------------------------------------|--------------|
| [PRM800K](https://github.com/openai/prm800k) | MIT |
| [SciBench](https://github.com/mandyyyyii/scibench) | MIT |
| [TheoremQA](https://huggingface.co/datasets/wenhu/TheoremQA) | MIT |
| [`nuprl/leetcode-solutions-python-testgen-gpt4`](https://huggingface.co/datasets/nuprl/leetcode-solutions-python-testgen-gpt4/viewer/nuprl--leetcode-solutions-python-testgen-gpt4/train?p=1) | None listed |
| [`jondurbin/airoboros-gpt4-1.4.1`](https://huggingface.co/datasets/jondurbin/airoboros-gpt4-1.4.1) | other |
| [`TigerResearch/tigerbot-kaggle-leetcodesolutions-en-2k`](https://huggingface.co/datasets/TigerResearch/tigerbot-kaggle-leetcodesolutions-en-2k/viewer/TigerResearch--tigerbot-kaggle-leetcodesolutions-en-2k/train?p=2) | apache-2.0 |
| [openbookQA](https://huggingface.co/datasets/openbookqa/viewer/additional/train?row=35) | apache-2.0 |
| [ARB](https://arb.duckai.org) | MIT |
| [`timdettmers/openassistant-guanaco`](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) | apache-2.0 |
---
> Original model dataset
## Data Contamination Check
We've removed approximately 200 questions that appear in the Hugging Face benchmark test sets. Please see our [paper](https://arxiv.org/abs/2308.07317) and [project webpage](https://platypus-llm.github.io) for additional information.
## Model Info
Please see models at [`garage-bAInd`](https://huggingface.co/garage-bAInd).
## Training and filtering code
Please see the [Platypus GitHub repo](https://github.com/arielnlee/Platypus).
## Citations
```bibtex
@article{platypus2023,
title={Platypus: Quick, Cheap, and Powerful Refinement of LLMs},
author={Ariel N. Lee and Cole J. Hunter and Nataniel Ruiz},
booktitle={arXiv preprint arxiv:2308.07317},
year={2023}
}
```
```bibtex
@article{lightman2023lets,
title={Let's Verify Step by Step},
author={Lightman, Hunter and Kosaraju, Vineet and Burda, Yura and Edwards, Harri and Baker, Bowen and Lee, Teddy and Leike, Jan and Schulman, John and Sutskever, Ilya and Cobbe, Karl},
journal={preprint arXiv:2305.20050},
year={2023}
}
```
```bibtex
@inproceedings{lu2022learn,
title={Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering},
author={Lu, Pan and Mishra, Swaroop and Xia, Tony and Qiu, Liang and Chang, Kai-Wei and Zhu, Song-Chun and Tafjord, Oyvind and Clark, Peter and Ashwin Kalyan},
booktitle={The 36th Conference on Neural Information Processing Systems (NeurIPS)},
year={2022}
}
```
```bibtex
@misc{wang2023scibench,
title={SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models},
author={Xiaoxuan Wang and Ziniu Hu and Pan Lu and Yanqiao Zhu and Jieyu Zhang and Satyen Subramaniam and Arjun R. Loomba and Shichang Zhang and Yizhou Sun and Wei Wang},
year={2023},
arXiv eprint 2307.10635
}
```
```bibtex
@inproceedings{yu2020reclor,
author = {Yu, Weihao and Jiang, Zihang and Dong, Yanfei and Feng, Jiashi},
title = {ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning},
booktitle = {International Conference on Learning Representations (ICLR)},
month = {April},
year = {2020}
}
```
```bibtex
@article{chen2023theoremqa,
title={TheoremQA: A Theorem-driven Question Answering dataset},
author={Chen, Wenhu and Ming Yin, Max Ku, Elaine Wan, Xueguang Ma, Jianyu Xu, Tony Xia, Xinyi Wang, Pan Lu},
journal={preprint arXiv:2305.12524},
year={2023}
}
```
```bibtex
@inproceedings{OpenBookQA2018,
title={Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering},
author={Todor Mihaylov and Peter Clark and Tushar Khot and Ashish Sabharwal},
booktitle={EMNLP},
year={2018}
}
```
```bibtex
@misc{sawada2023arb,
title={ARB: Advanced Reasoning Benchmark for Large Language Models},
author={Tomohiro Sawada and Daniel Paleka and Alexander Havrilla and Pranav Tadepalli and Paula Vidas and Alexander Kranias and John J. Nay and Kshitij Gupta and Aran Komatsuzaki},
arXiv eprint 2307.13692,
year={2023}
}
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|
truongghieu/BK_Regulation | truongghieu | 2023-12-04T06:30:47Z | 0 | 0 | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"region:us"
]
| [
"text-generation"
]
| 2023-12-04T05:43:53Z | ---
task_categories:
- text-generation
language:
- en
size_categories:
- n<1K
license: apache-2.0
--- | [
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|
austin/single_med_data | austin | 2023-12-04T05:49:00Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T05:45:03Z | ---
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 10510513.084627181
num_examples: 20450
- name: eval
num_bytes: 214835.91537281964
num_examples: 418
download_size: 2108422
dataset_size: 10725349.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: eval
path: data/eval-*
---
# Dataset Card for "single_med_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
dwancin/names-in-denmark | dwancin | 2023-12-04T06:23:36Z | 0 | 0 | [
"language:da",
"license:mit",
"statistics",
"region:us"
]
| null | 2023-12-04T06:13:36Z | ---
license: mit
language:
- da
tags:
- statistics
---
# Names in Denmark
The statistical data source is the Central Population Register and Statistics Denmark. | [
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|
m-a-p/COIG-Kun | m-a-p | 2023-12-04T09:27:39Z | 0 | 1 | [
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:zh",
"region:us"
]
| [
"question-answering"
]
| 2023-12-04T06:36:50Z | ---
task_categories:
- question-answering
language:
- zh
size_categories:
- 100K<n<1M
---
# Kun: Answer Polishment Saves Your Time for Using Intruction Backtranslation on Self-Alignment
## Table of Contents
- [Overview](#overview)
- [Dataset Description](#dataset-description)
- [Usage](#usage)
- [Citation](#citation)
- [Acknowledgments](#acknowledgments)
## Overview
The COIG-Kun dataset, part of the [COIG-Kun GitHub](https://github.com/Zheng0428/COIG-Kun) project, consists of instructional data used for training language models. This dataset was developed following the methodology inspired by Meta's "Self-Alignment with Instruction Backtranslation" and adapted for optimal performance in training label, point, and answer models.
## Dataset Description
### Language
- The dataset contains instructions primarily in Chinese.
### Dataset Structure
- **Data Instances**: Each data instance is structured in a JSON format with two fields: `instruction` and `output`.
- Example: `{"instruction": "如何评价祁又一自编自导的电影《鸽子小姐》？", "output": "《鸽子小姐》是一部由祁又一自编自导的电影。..."}`
- **Data Split**: The dataset is comprised of three subsets:
- `wudao.jsonl`: 139,852 instances
- `wanjuan.jsonl`: 328,294 instances
- `skypile.jsonl`: 71,560 instances
### Data Characteristics
- The dataset is designed to provide high-quality instructional data for language model training, focusing on enhancing the quality and applicability of the data.
## Methodology
Our approach closely follows the self-alignment method ådescribed by Meta, with adaptations to optimize the process:
1. **Seed Data Selection and Model Training**: Initially, appropriate seed data are selected and inverted to train a Label Model on a base model(Yi Base). Concurrently, using the same seed data, a Primary Chat model is trained following the Supervised Fine-Tuning (SFT) method typical of chat models.
3. **Labeling Unlabeled Data**: The Label Model is then used to annotate preliminarily cleansed Primary data. Cleansing involves filtering based on perplexity (ppl) and length, discarding data exceeding 512 tokens.
4. **Instruction Data Generation**: Post-annotation, we obtain our first version of Labeled data. Unlike the original project where both instruction and output data pairs are fed into Primary Chat Model for scoring, our replication revealed limitations in Primary Chat's ability to discern high-quality instructions. We innovated by scoring only the instruction component, effectively filtering out noise and selecting high-quality instructions.
5. **Output Data Refinement**: Upon manual inspection, we identified a mismatch between the Primary Data (used as output) and the standard requirements for output in instruction data. To address this, we introduced an additional step: refining the output data. Using Primary Chat's capabilities, the output (originally unlabeled data) is adjusted according to the instructions, making it more suitable as output for the instruction data.
6. **Framework Completion**: Our methodology concludes with the acquisition of a substantial volume of instructional data, achieved with minimal resource expenditure.
## Usage
### Using the Data
- The dataset can be used for training and fine-tuning language models, specifically focusing on instruction understanding and response generation.
- Users are encouraged to refer to the project documentation for detailed instructions on utilizing the dataset in the training process.
## Citation
If you use this dataset in your research, please cite it as follows:
```bibtex
@misc{COIG-Kun,
title={Kun: Answer Polishment Saves Your Time for Using Intruction Backtranslation on Self-Alignment},
author={Tianyu, Zheng* and Shuyue, Guo* and Xingwei, Qu and Xinrun, Du and Wenhu, Chen and Jie, Fu and Wenhao, Huang and Ge, Zhang},
year={2023},
publisher={GitHub},
journal={GitHub repository},
howpublished={https://github.com/Zheng0428/COIG-Kun}
}
```
## Acknowledgments
This dataset was created by a dedicated team at [M-A-P]. We acknowledge the contributions of all individuals and organizations that made this project possible.
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|
Tejagoud/one_layout | Tejagoud | 2023-12-04T06:44:32Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T06:44:16Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 19875189.764705885
num_examples: 81
- name: test
num_bytes: 2728463.6470588236
num_examples: 11
- name: validation
num_bytes: 2453185.588235294
num_examples: 10
download_size: 20667454
dataset_size: 25056839.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
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|
pkking/testnnmm | pkking | 2023-12-04T06:58:41Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T06:58:41Z | ---
license: apache-2.0
---
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|
yensubldg/intent-recognition | yensubldg | 2023-12-04T07:34:36Z | 0 | 0 | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:vi",
"license:mit",
"region:us"
]
| [
"text-classification"
]
| 2023-12-04T07:12:56Z | ---
license: mit
task_categories:
- text-classification
language:
- vi
pretty_name: intent_recognition
size_categories:
- 1K<n<10K
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|
aegishield/credit_card_transactions | aegishield | 2023-12-04T07:23:30Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-04T07:22:22Z | ---
license: mit
---
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|
cwchang/text-classification-dataset-example | cwchang | 2023-12-04T07:52:20Z | 0 | 0 | [
"task_categories:text-classification",
"language:en",
"license:apache-2.0",
"region:us"
]
| [
"text-classification"
]
| 2023-12-04T07:25:42Z | ---
license: apache-2.0
task_categories:
- text-classification
language:
- en
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|
ThWu/dpo_openhermes | ThWu | 2023-12-04T07:37:32Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T07:32:39Z | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
splits:
- name: train
num_bytes: 557125321
num_examples: 182859
download_size: 289321706
dataset_size: 557125321
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "dpo_openhermes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
ritabratamaiti/sold-alpaca | ritabratamaiti | 2023-12-04T07:48:02Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T07:47:59Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 3461985
num_examples: 7500
- name: test
num_bytes: 1168819
num_examples: 2500
download_size: 1396980
dataset_size: 4630804
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
Jacques7103/AI_Test | Jacques7103 | 2023-12-04T14:17:05Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T07:48:31Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: int64
splits:
- name: train
num_bytes: 3798600197.5
num_examples: 75750
- name: test
num_bytes: 1318679920.75
num_examples: 25250
download_size: 5059384061
dataset_size: 5117280118.25
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
theblackhacker/arc_openorca_gpt4_mixed | theblackhacker | 2023-12-04T07:52:21Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T07:50:52Z | ---
dataset_info:
features:
- name: conversations
struct:
- name: condition
dtype: string
- name: items
list:
- name: content
dtype: string
- name: role
dtype: string
- name: weight
dtype: float64
- name: system
dtype: string
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 2303868820.0
num_examples: 640160
download_size: 1283531822
dataset_size: 2303868820.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
AntoineBlanot/mnli-binary | AntoineBlanot | 2023-12-04T08:06:03Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T07:51:57Z | ---
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label_name
dtype: string
splits:
- name: train
num_bytes: 76452262
num_examples: 392702
- name: test
num_bytes: 1878757
num_examples: 9815
download_size: 51169514
dataset_size: 78331019
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "mnli-binary"
This dataset is the [mnli-3way](https://huggingface.co/datasets/AntoineBlanot/mnli-3way) dataset where the `contradiction` and `neutral` classes has been merged together as a `non-entailment` class.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
AntoineBlanot/mnli-contrast | AntoineBlanot | 2023-12-04T08:06:48Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T07:52:32Z | ---
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: instruction
dtype: string
- name: label_name
dtype: string
splits:
- name: train
num_bytes: 254483428
num_examples: 785404
- name: test
num_bytes: 6297986
num_examples: 19630
download_size: 54354034
dataset_size: 260781414
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "mnli-contrast"
This dataset is the [mnli-3way](https://huggingface.co/datasets/AntoineBlanot/mnli-3way) dataset with an additional `instruction` feature.
This new feature along with its related `label_name` expresses how the `premise` and `hypothesis` features are related in the original dataset.
The following explains how the mapping is done:
### If the original example was of class `entailment`
Two data points will be related to that example.
One is the positive example (i.e., `label_name` == "positive") which assign to it the folowing instruction: "The meaning of the hypothesis is logically inferred from the meaning of the premise."
The other is the negative example (i.e., `label_name` == "negative") which assign to it the folowing instruction: "The meaning of the hypothesis either contradicts the meaning of the premise, is unrelated to it, or does not provide sufficient information to infer the meaning of the premise."
### If the original example was of class `contradiction` or `neutral`
Two data points will be related to that example.
One is the positive example (i.e., `label_name` == "positive") which assign to it the folowing instruction: "The meaning of the hypothesis either contradicts the meaning of the premise, is unrelated to it, or does not provide sufficient information to infer the meaning of the premise."
The other is the negative example (i.e., `label_name` == "negative") which assign to it the folowing instruction: "The meaning of the hypothesis is logically inferred from the meaning of the premise."
This dataset is double the size of this original dataset because each is related to a positive and negative instruction.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
pythainlp/Thai-Pos-prompt | pythainlp | 2023-12-04T07:59:35Z | 0 | 0 | [
"task_categories:text2text-generation",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"region:us"
]
| [
"text2text-generation",
"text-generation"
]
| 2023-12-04T07:53:11Z | ---
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: test
num_bytes: 539162
num_examples: 1000
- name: train
num_bytes: 29246726
num_examples: 130454
download_size: 6418943
dataset_size: 29785888
license: cc-by-sa-3.0
task_categories:
- text2text-generation
- text-generation
language:
- th
size_categories:
- 10K<n<100K
---
# Dataset Card for "Thai-Pos-prompt"
This dataset made to create prompt for Thai part-of-speech tagging.
- The Train set made from [blackboard treebank](https://bitbucket.org/kaamanita/blackboard-treebank) that used own tags but we use Universal Dependencies tags, so we convert those tags into Universal Dependencies tags. [See blackboard treebank tags to Universal Dependencies tags](https://github.com/PyThaiNLP/pythainlp/blob/dev/pythainlp/tag/blackboard.py#L56C5-L56C17)
- The test set from the Parallel Universal Dependencies (PUD) treebanks. See more [https://github.com/UniversalDependencies/UD_Thai-PUD](https://github.com/UniversalDependencies/UD_Thai-PUD)
## Template
```
Inputs: จงสร้างประโยคตามโครงสร้าง {pos}:
Targets: Thai sentence
```
pos: [All tag](https://universaldependencies.org/u/pos/)
Source code for create dataset: [https://github.com/PyThaiNLP/support-aya-datasets/blob/main/pos/merge.ipynb](https://github.com/PyThaiNLP/support-aya-datasets/blob/main/pos/merge.ipynb) | [
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|
ebrigham/DBRD | ebrigham | 2023-12-04T08:31:13Z | 0 | 0 | [
"task_categories:text-classification",
"language:nl",
"license:mit",
"arxiv:1910.00896",
"region:us"
]
| [
"text-classification"
]
| 2023-12-04T07:57:07Z | ---
license: mit
task_categories:
- text-classification
language:
- nl
pretty_name: DBRD
---
configs:
- config_name: default
data_files:
- split: train
path: train/neg/*, train/pos/*
- split: test
path: test/neg/*, test/pos/*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: integer (1 for positive, -1 for negative)
splits:
- name: train
num_examples: 20027
- name: test
num_examples: 2223
download_size: 79.1MB
dataset_size: 773,4MB
# Dataset Card for "DBRD: Dutch Book Reviews Dataset"
Translation of the [Dutch Book Review Dataset (DBRD)](https://github.com/benjaminvdb/DBRD), an extensive collection of over 110k book reviews with associated binary sentiment polarity labels. The dataset is designed for sentiment classification in Dutch and is influenced by the [Large Movie Review Dataset](http://ai.stanford.edu/~amaas/data/sentiment/).
The dataset and the scripts used for scraping the reviews from [Hebban](Hebban), a Dutch platform for book enthusiasts, can be found in the [DBRD GitHub repository](https://github.com/benjaminvdb/DBRD).
# Labels
Distribution of labels positive/negative/neutral in rounded percentages.
```
training: 50/50/ 0
test: 50/50/ 0
```
# Attribution
Please use the following citation when making use of this dataset in your work:
```citation
@article{DBLP:journals/corr/abs-1910-00896,
author = {Benjamin van der Burgh and
Suzan Verberne},
title = {The merits of Universal Language Model Fine-tuning for Small Datasets
- a case with Dutch book reviews},
journal = {CoRR},
volume = {abs/1910.00896},
year = {2019},
url = {http://arxiv.org/abs/1910.00896},
archivePrefix = {arXiv},
eprint = {1910.00896},
timestamp = {Fri, 04 Oct 2019 12:28:06 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1910-00896.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
# Acknowledgements (as per GIT repository)
This dataset was created for testing out the ULMFiT (by Jeremy Howard and Sebastian Ruder) deep learning algorithm for text classification. It is implemented in the FastAI Python library that has taught me a lot. I'd also like to thank Timo Block for making his 10kGNAD dataset publicly available and giving me a starting point for this dataset. The dataset structure based on the Large Movie Review Dataset by Andrew L. Maas et al. Thanks to Andreas van Cranenburg for pointing out a problem with the dataset.
And of course I'd like to thank all the reviewers on Hebban for having taken the time to write all these reviews. You've made both book enthousiast and NLP researchers very happy :)
---
license: mit
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|
AntoineBlanot/mnli-3way | AntoineBlanot | 2023-12-04T08:02:30Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T08:01:57Z | ---
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label_name
dtype: string
splits:
- name: train
num_bytes: 75405059
num_examples: 392702
- name: test
num_bytes: 1853683
num_examples: 9815
download_size: 51216284
dataset_size: 77258742
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "mnli-3way"
This dataset is the [multi_nli](https://huggingface.co/datasets/multi_nli) dataset where the labels are: `entailment`, `contradiction` and `neutral`.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
vishnu027/sm_type1 | vishnu027 | 2023-12-04T08:08:25Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T08:08:18Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 110666282.0
num_examples: 400
- name: test
num_bytes: 13907389.0
num_examples: 50
- name: val
num_bytes: 13888296.0
num_examples: 50
download_size: 138312977
dataset_size: 138461967.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
---
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|
renumics/song-describer-dataset | renumics | 2023-12-04T10:16:10Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T08:13:28Z | ---
dataset_info:
features:
- name: caption_id
dtype: int64
- name: track_id
dtype: int64
- name: caption
dtype: string
- name: is_valid_subset
dtype: bool
- name: familiarity
dtype: int64
- name: artist_id
dtype: int64
- name: album_id
dtype: int64
- name: path
dtype:
audio:
decode: false
- name: duration
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 3543021978.0
num_examples: 746
download_size: 2591774807
dataset_size: 3543021978.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
This is a mirror to the example dataset "The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation" paper by Manco et al.
Project page on Github: https://github.com/mulab-mir/song-describer-dataset
Dataset on Zenodoo: https://zenodo.org/records/10072001
Explore the dataset on your local machine:
```python
import datasets
from renumics import spotlight
ds = datasets.load_dataset('renumics/song-describer-dataset')
spotlight.show(ds)
```
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|
vishnu027/sm_type01 | vishnu027 | 2023-12-04T08:17:43Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T08:17:23Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 110504020.0
num_examples: 400
- name: test
num_bytes: 13477632.0
num_examples: 50
- name: val
num_bytes: 14480315.0
num_examples: 50
download_size: 138312901
dataset_size: 138461967.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
---
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|
c4ba/mcpoze | c4ba | 2023-12-04T08:41:29Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-04T08:22:12Z | ---
license: openrail
---
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|
gymprathap/Handwriting-Recognition-Dataset | gymprathap | 2023-12-04T12:51:52Z | 0 | 0 | [
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"code",
"region:us"
]
| [
"token-classification"
]
| 2023-12-04T08:32:24Z | ---
license: apache-2.0
task_categories:
- token-classification
language:
- en
tags:
- code
pretty_name: Handwriting Recognition Dataset
size_categories:
- 1K<n<10K
---
The dataset comprises over four hundred thousand handwritten names obtained from charitable initiatives.
Character Recognition employs image processing techniques to transform characters present on scanned documents into digital formats. It generally exhibits good performance with machine-printed fonts. Nonetheless, machines still encounter formidable obstacles in accurately identifying handwritten characters due to the vast diversity in individual writing styles.
The total number of first names is 206,799, while the total number of surnames is 207,024. The data was partitioned into a training set (331,059 samples), testing set (41,382 samples), and validation set (41,382 samples) respectively.
FYI: I am not the owner of this dataset. I took this dataset from kaggle. It is very interesting and useful dataset for many computer vision application.
<a href="http://projectcentersinchennai.co.in" title="Project Centers in Chennai">Project Centers in Chennai</a> | [
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|
phiyodr/flickr30k_long | phiyodr | 2023-12-04T11:27:18Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T09:03:15Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: caption
dtype: string
- name: sentids
dtype: string
- name: split
dtype: string
- name: img_id
dtype: string
- name: filename
dtype: string
splits:
- name: test
num_bytes: 21272586635.95
num_examples: 155070
download_size: 4485309202
dataset_size: 21272586635.95
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
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|
satyambarnwal/balcony7 | satyambarnwal | 2023-12-04T09:34:51Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T09:21:44Z | ---
dataset_info:
features:
- name: source_img
dtype: image
- name: output_img
dtype: image
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 56784678.0
num_examples: 63
download_size: 29126098
dataset_size: 56784678.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
hollowsense/sheidlina-dataset | hollowsense | 2023-12-04T09:25:00Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T09:24:34Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': sheidlina-data-samples
- name: text
dtype: string
splits:
- name: train
num_bytes: 2759180.0
num_examples: 6
download_size: 2759882
dataset_size: 2759180.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
tomytjandra/h-and-m-fashion-caption | tomytjandra | 2023-12-04T11:07:53Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T09:30:19Z | ---
dataset_info:
features:
- name: text
dtype: string
- name: image
dtype: image
splits:
- name: train
num_bytes: 7843224039.084
num_examples: 20491
download_size: 6302088359
dataset_size: 7843224039.084
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "h-and-m-fashion-caption"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
zicsx/mC4-Hindi-Cleaned | zicsx | 2023-12-04T16:11:39Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T09:36:39Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 87366785273
num_examples: 15102635
download_size: 0
dataset_size: 87366785273
---
# Dataset Card for "mC4-hindi-cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
sleiva/xone_copilot | sleiva | 2023-12-04T11:08:16Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T09:45:13Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: project
dtype: string
- name: file
dtype: string
- name: content
dtype: string
splits:
- name: train
num_bytes: 12820368
num_examples: 1428
download_size: 3359472
dataset_size: 12820368
---
# Dataset Card for "xone_copilot"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
pig4431/TextGPT4V | pig4431 | 2023-12-04T09:54:06Z | 0 | 0 | [
"task_categories:visual-question-answering",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"region:us"
]
| [
"visual-question-answering",
"question-answering"
]
| 2023-12-04T09:46:55Z | ---
task_categories:
- visual-question-answering
- question-answering
language:
- en
pretty_name: TextGPT4V
size_categories:
- 10K<n<100K
---
# TextGPT4V 30K Dataset Card
## Dataset details
**Dataset type:**
TextGPT4V 30K is a set of GPT4V generated instruction data to enchance the textual capabilities of VLMs.
Constructed with prompting 'gpt-4-vision-preview'.
**Dataset date:**
TextGPT4V 30K was collected in Nov 2023, by prompting 'gpt-4-vision-preview' API.
**Paper or resources for more information:**
https://github.com/Etelis/TextGPT4V
**License:**
Attribution-NonCommercial 4.0 International
It should abide by the policy of OpenAI: https://openai.com/policies/terms-of-use | [
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|
UnderstandLing/oasst1_instruct | UnderstandLing | 2023-12-04T12:37:49Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T09:51:25Z | ---
license: apache-2.0
---
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|
ScandEval/swedn-mini | ScandEval | 2023-12-04T09:54:49Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T09:54:42Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: headline
dtype: string
- name: target_text
dtype: string
- name: text
dtype: string
- name: article_category
dtype: string
splits:
- name: train
num_bytes: 3423378
num_examples: 1024
- name: val
num_bytes: 1247967
num_examples: 256
- name: test
num_bytes: 12652889
num_examples: 2048
download_size: 10448841
dataset_size: 17324234
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
---
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|
yangp/chat-gvg-chinese | yangp | 2023-12-04T09:58:07Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T09:57:43Z | ---
license: apache-2.0
dataset_info:
features:
- name: context
dtype: string
- name: target
dtype: string
splits:
- name: train
num_bytes: 38901832
num_examples: 13166
download_size: 15698181
dataset_size: 38901832
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
zaanind/grdt | zaanind | 2023-12-04T10:02:18Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T10:02:17Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 7976
num_examples: 16
download_size: 8071
dataset_size: 7976
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Lacker1/mai-sakurajima-text-dataset | Lacker1 | 2023-12-04T15:49:37Z | 0 | 0 | [
"license:unknown",
"region:us"
]
| null | 2023-12-04T10:10:10Z | ---
license: unknown
---
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|
lawful-good-project/ipc_decisions_4k_512 | lawful-good-project | 2023-12-04T10:54:44Z | 0 | 0 | [
"license:gpl-3.0",
"region:us"
]
| null | 2023-12-04T10:18:59Z | ---
license: gpl-3.0
---
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|
Ajayaadhi/Medical-QA | Ajayaadhi | 2023-12-04T10:33:51Z | 0 | 0 | [
"task_categories:question-answering",
"language:en",
"region:us"
]
| [
"question-answering"
]
| 2023-12-04T10:29:06Z | ---
task_categories:
- question-answering
language:
- en
---
# Dataset Card for Dataset Name
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## Bias, Risks, and Limitations
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[More Information Needed] | [
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|
GroupSix/common-voice-sv | GroupSix | 2023-12-04T10:45:09Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T10:29:43Z | ---
license: apache-2.0
dataset_info:
features:
- name: input_features
sequence:
sequence: float32
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 12026242920
num_examples: 12521
- name: test
num_bytes: 4917685848
num_examples: 5120
download_size: 2495037720
dataset_size: 16943928768
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
ineoApp/dataset_02 | ineoApp | 2023-12-04T14:41:26Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T10:36:01Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: image
dtype: image
- name: bboxes
sequence:
sequence: int64
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': numero facture
'2': fournisseur
'3': date facture
'4': date limite
'5': montant ht
'6': montant ttc
'7': tva
'8': prix tva
'9': addresse
'10': reference
'11': art1 designation
'12': art1 quantite
'13': art1 prix unit
'14': art1 tva
'15': art1 montant ht
'16': art2 designation
'17': art2 quantite
'18': art2 prix unit
'19': art2 tva
'20': art2 montant ht
- name: tokens
sequence: string
splits:
- name: train
num_bytes: 35625168.0
num_examples: 24
- name: test
num_bytes: 8906292.0
num_examples: 6
download_size: 44448792
dataset_size: 44531460.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
Tejagoud/english_spain_20layouts | Tejagoud | 2023-12-04T10:59:34Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T10:45:35Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 2840533918.5972295
num_examples: 10322
- name: test
num_bytes: 358183551.4668479
num_examples: 1291
- name: validation
num_bytes: 358702625.69392234
num_examples: 1290
download_size: 3000508409
dataset_size: 3557420095.758
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
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|
FreedomIntelligence/2023_Pharmacist_Licensure_Examination-TCM_track | FreedomIntelligence | 2023-12-04T11:39:31Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T10:54:07Z | ---
license: apache-2.0
---
The 2023 Chinese National Pharmacist Licensure Examination is divided into two distinct tracks: the Pharmacy track and the Traditional Chinese Medicine (TCM) Pharmacy track. The data provided here pertains to the Traditional Chinese Medicine (TCM) Pharmacy track examination. It is important to note that this dataset was collected from online sources, and there may be some discrepancies between this data and the actual examination.
- **Repository:** https://github.com/FreedomIntelligence/HuatuoGPT-II | [
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|
FreedomIntelligence/2023_Pharmacist_Licensure_Examination-Pharmacy_track | FreedomIntelligence | 2023-12-04T11:39:08Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T10:54:29Z | ---
license: apache-2.0
---
The 2023 Chinese National Pharmacist Licensure Examination is divided into two distinct tracks: the Pharmacy track and the Traditional Chinese Medicine (TCM) Pharmacy track. The data provided here pertains to the Pharmacy track examination. It is important to note that this dataset was collected from online sources, and there may be some discrepancies between this data and the actual examination.
- **Repository:** https://github.com/FreedomIntelligence/HuatuoGPT-II | [
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|
bitadin/one-one-attributes-v2 | bitadin | 2023-12-04T10:59:57Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T10:59:49Z | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
splits:
- name: train
num_bytes: 222311661
num_examples: 391042
download_size: 38961258
dataset_size: 222311661
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
open-llm-leaderboard/details_WebraftAI__synapsellm-7b-mistral-v0.3-preview | open-llm-leaderboard | 2023-12-04T11:05:46Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T11:05:04Z | ---
pretty_name: Evaluation run of WebraftAI/synapsellm-7b-mistral-v0.3-preview
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [WebraftAI/synapsellm-7b-mistral-v0.3-preview](https://huggingface.co/WebraftAI/synapsellm-7b-mistral-v0.3-preview)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_WebraftAI__synapsellm-7b-mistral-v0.3-preview\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T11:02:12.262420](https://huggingface.co/datasets/open-llm-leaderboard/details_WebraftAI__synapsellm-7b-mistral-v0.3-preview/blob/main/results_2023-12-04T11-02-12.262420.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5468346216265638,\n\
\ \"acc_stderr\": 0.03408547225046011,\n \"acc_norm\": 0.5513258664220261,\n\
\ \"acc_norm_stderr\": 0.0348106640487534,\n \"mc1\": 0.37454100367197063,\n\
\ \"mc1_stderr\": 0.016943535128405324,\n \"mc2\": 0.5503392001553602,\n\
\ \"mc2_stderr\": 0.0150300089118087\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5255972696245734,\n \"acc_stderr\": 0.014592230885298962,\n\
\ \"acc_norm\": 0.53839590443686,\n \"acc_norm_stderr\": 0.014568245550296356\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5545708026289584,\n\
\ \"acc_stderr\": 0.004959973514772515,\n \"acc_norm\": 0.7485560645289783,\n\
\ \"acc_norm_stderr\": 0.004329565016527315\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252606,\n \
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252606\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4444444444444444,\n\
\ \"acc_stderr\": 0.04292596718256981,\n \"acc_norm\": 0.4444444444444444,\n\
\ \"acc_norm_stderr\": 0.04292596718256981\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.5789473684210527,\n \"acc_stderr\": 0.04017901275981749,\n\
\ \"acc_norm\": 0.5789473684210527,\n \"acc_norm_stderr\": 0.04017901275981749\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.5,\n\
\ \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\": 0.5,\n \
\ \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.5962264150943396,\n \"acc_stderr\": 0.03019761160019795,\n\
\ \"acc_norm\": 0.5962264150943396,\n \"acc_norm_stderr\": 0.03019761160019795\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6041666666666666,\n\
\ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\
\ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04923659639173309,\n \
\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04923659639173309\n },\n\
\ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.49,\n\
\ \"acc_stderr\": 0.05024183937956913,\n \"acc_norm\": 0.49,\n \
\ \"acc_norm_stderr\": 0.05024183937956913\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.49710982658959535,\n\
\ \"acc_stderr\": 0.03812400565974833,\n \"acc_norm\": 0.49710982658959535,\n\
\ \"acc_norm_stderr\": 0.03812400565974833\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.28431372549019607,\n \"acc_stderr\": 0.04488482852329017,\n\
\ \"acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.04488482852329017\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\": 0.66,\n\
\ \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.4595744680851064,\n \"acc_stderr\": 0.032579014820998356,\n\
\ \"acc_norm\": 0.4595744680851064,\n \"acc_norm_stderr\": 0.032579014820998356\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.37719298245614036,\n\
\ \"acc_stderr\": 0.04559522141958216,\n \"acc_norm\": 0.37719298245614036,\n\
\ \"acc_norm_stderr\": 0.04559522141958216\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.04161808503501531,\n\
\ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.04161808503501531\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.3544973544973545,\n \"acc_stderr\": 0.024636830602842,\n \"acc_norm\"\
: 0.3544973544973545,\n \"acc_norm_stderr\": 0.024636830602842\n },\n\
\ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3492063492063492,\n\
\ \"acc_stderr\": 0.042639068927951336,\n \"acc_norm\": 0.3492063492063492,\n\
\ \"acc_norm_stderr\": 0.042639068927951336\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.632258064516129,\n \"acc_stderr\": 0.027430866579973467,\n \"\
acc_norm\": 0.632258064516129,\n \"acc_norm_stderr\": 0.027430866579973467\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.4088669950738916,\n \"acc_stderr\": 0.034590588158832314,\n \"\
acc_norm\": 0.4088669950738916,\n \"acc_norm_stderr\": 0.034590588158832314\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\"\
: 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.6545454545454545,\n \"acc_stderr\": 0.03713158067481913,\n\
\ \"acc_norm\": 0.6545454545454545,\n \"acc_norm_stderr\": 0.03713158067481913\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7222222222222222,\n \"acc_stderr\": 0.03191178226713548,\n \"\
acc_norm\": 0.7222222222222222,\n \"acc_norm_stderr\": 0.03191178226713548\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.7357512953367875,\n \"acc_stderr\": 0.03182155050916644,\n\
\ \"acc_norm\": 0.7357512953367875,\n \"acc_norm_stderr\": 0.03182155050916644\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.5256410256410257,\n \"acc_stderr\": 0.025317649726448663,\n\
\ \"acc_norm\": 0.5256410256410257,\n \"acc_norm_stderr\": 0.025317649726448663\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3148148148148148,\n \"acc_stderr\": 0.02831753349606647,\n \
\ \"acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.02831753349606647\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.542016806722689,\n \"acc_stderr\": 0.03236361111951941,\n \
\ \"acc_norm\": 0.542016806722689,\n \"acc_norm_stderr\": 0.03236361111951941\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.33774834437086093,\n \"acc_stderr\": 0.038615575462551684,\n \"\
acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.038615575462551684\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.7119266055045872,\n \"acc_stderr\": 0.019416445892636032,\n \"\
acc_norm\": 0.7119266055045872,\n \"acc_norm_stderr\": 0.019416445892636032\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\
\ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\
: {\n \"acc\": 0.6911764705882353,\n \"acc_stderr\": 0.03242661719827218,\n\
\ \"acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.03242661719827218\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.6877637130801688,\n \"acc_stderr\": 0.030165137867847018,\n \
\ \"acc_norm\": 0.6877637130801688,\n \"acc_norm_stderr\": 0.030165137867847018\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6412556053811659,\n\
\ \"acc_stderr\": 0.032190792004199956,\n \"acc_norm\": 0.6412556053811659,\n\
\ \"acc_norm_stderr\": 0.032190792004199956\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.6793893129770993,\n \"acc_stderr\": 0.04093329229834278,\n\
\ \"acc_norm\": 0.6793893129770993,\n \"acc_norm_stderr\": 0.04093329229834278\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.6446280991735537,\n \"acc_stderr\": 0.0436923632657398,\n \"acc_norm\"\
: 0.6446280991735537,\n \"acc_norm_stderr\": 0.0436923632657398\n },\n\
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6851851851851852,\n\
\ \"acc_stderr\": 0.04489931073591312,\n \"acc_norm\": 0.6851851851851852,\n\
\ \"acc_norm_stderr\": 0.04489931073591312\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.6441717791411042,\n \"acc_stderr\": 0.03761521380046734,\n\
\ \"acc_norm\": 0.6441717791411042,\n \"acc_norm_stderr\": 0.03761521380046734\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4732142857142857,\n\
\ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.4732142857142857,\n\
\ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6601941747572816,\n \"acc_stderr\": 0.046897659372781335,\n\
\ \"acc_norm\": 0.6601941747572816,\n \"acc_norm_stderr\": 0.046897659372781335\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8418803418803419,\n\
\ \"acc_stderr\": 0.023902325549560396,\n \"acc_norm\": 0.8418803418803419,\n\
\ \"acc_norm_stderr\": 0.023902325549560396\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \
\ \"acc_norm\": 0.64,\n \"acc_norm_stderr\": 0.04824181513244218\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7496807151979565,\n\
\ \"acc_stderr\": 0.015491088951494569,\n \"acc_norm\": 0.7496807151979565,\n\
\ \"acc_norm_stderr\": 0.015491088951494569\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.5924855491329479,\n \"acc_stderr\": 0.026454578146931505,\n\
\ \"acc_norm\": 0.5924855491329479,\n \"acc_norm_stderr\": 0.026454578146931505\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24692737430167597,\n\
\ \"acc_stderr\": 0.01442229220480886,\n \"acc_norm\": 0.24692737430167597,\n\
\ \"acc_norm_stderr\": 0.01442229220480886\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6209150326797386,\n \"acc_stderr\": 0.027780141207023334,\n\
\ \"acc_norm\": 0.6209150326797386,\n \"acc_norm_stderr\": 0.027780141207023334\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6012861736334405,\n\
\ \"acc_stderr\": 0.0278093225857745,\n \"acc_norm\": 0.6012861736334405,\n\
\ \"acc_norm_stderr\": 0.0278093225857745\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.5895061728395061,\n \"acc_stderr\": 0.027371350925124764,\n\
\ \"acc_norm\": 0.5895061728395061,\n \"acc_norm_stderr\": 0.027371350925124764\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.35106382978723405,\n \"acc_stderr\": 0.028473501272963764,\n \
\ \"acc_norm\": 0.35106382978723405,\n \"acc_norm_stderr\": 0.028473501272963764\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.39895697522816165,\n\
\ \"acc_stderr\": 0.012506757655293665,\n \"acc_norm\": 0.39895697522816165,\n\
\ \"acc_norm_stderr\": 0.012506757655293665\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.5735294117647058,\n \"acc_stderr\": 0.030042615832714864,\n\
\ \"acc_norm\": 0.5735294117647058,\n \"acc_norm_stderr\": 0.030042615832714864\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.5228758169934641,\n \"acc_stderr\": 0.02020665318788479,\n \
\ \"acc_norm\": 0.5228758169934641,\n \"acc_norm_stderr\": 0.02020665318788479\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6363636363636364,\n\
\ \"acc_stderr\": 0.04607582090719976,\n \"acc_norm\": 0.6363636363636364,\n\
\ \"acc_norm_stderr\": 0.04607582090719976\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.6408163265306123,\n \"acc_stderr\": 0.030713560455108493,\n\
\ \"acc_norm\": 0.6408163265306123,\n \"acc_norm_stderr\": 0.030713560455108493\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7412935323383084,\n\
\ \"acc_stderr\": 0.030965903123573044,\n \"acc_norm\": 0.7412935323383084,\n\
\ \"acc_norm_stderr\": 0.030965903123573044\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \
\ \"acc_norm\": 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.45180722891566266,\n\
\ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.45180722891566266,\n\
\ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7192982456140351,\n \"acc_stderr\": 0.034462962170884265,\n\
\ \"acc_norm\": 0.7192982456140351,\n \"acc_norm_stderr\": 0.034462962170884265\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.37454100367197063,\n\
\ \"mc1_stderr\": 0.016943535128405324,\n \"mc2\": 0.5503392001553602,\n\
\ \"mc2_stderr\": 0.0150300089118087\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7458563535911602,\n \"acc_stderr\": 0.012236307219708266\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2896133434420015,\n \
\ \"acc_stderr\": 0.012493927348659629\n }\n}\n```"
repo_url: https://huggingface.co/WebraftAI/synapsellm-7b-mistral-v0.3-preview
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-02-12.262420.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-02-12.262420.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- '**/details_harness|winogrande|5_2023-12-04T11-02-12.262420.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T11-02-12.262420.parquet'
- config_name: results
data_files:
- split: 2023_12_04T11_02_12.262420
path:
- results_2023-12-04T11-02-12.262420.parquet
- split: latest
path:
- results_2023-12-04T11-02-12.262420.parquet
---
# Dataset Card for Evaluation run of WebraftAI/synapsellm-7b-mistral-v0.3-preview
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/WebraftAI/synapsellm-7b-mistral-v0.3-preview
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [WebraftAI/synapsellm-7b-mistral-v0.3-preview](https://huggingface.co/WebraftAI/synapsellm-7b-mistral-v0.3-preview) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_WebraftAI__synapsellm-7b-mistral-v0.3-preview",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T11:02:12.262420](https://huggingface.co/datasets/open-llm-leaderboard/details_WebraftAI__synapsellm-7b-mistral-v0.3-preview/blob/main/results_2023-12-04T11-02-12.262420.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
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},
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
bitadin/one-one-attributes-v3 | bitadin | 2023-12-04T11:05:27Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T11:05:24Z | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
splits:
- name: train
num_bytes: 70357612
num_examples: 243376
download_size: 15581603
dataset_size: 70357612
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
akash140500/question_ans | akash140500 | 2023-12-04T15:00:04Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T11:14:48Z | ---
license: apache-2.0
---
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|
yangp/chat-gvg-chinese-all | yangp | 2023-12-04T11:19:47Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T11:19:28Z | ---
license: apache-2.0
dataset_info:
features:
- name: context
dtype: string
- name: target
dtype: string
splits:
- name: train
num_bytes: 89930597
num_examples: 21322
download_size: 27216536
dataset_size: 89930597
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan | open-llm-leaderboard | 2023-12-04T11:21:54Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T11:21:05Z | ---
pretty_name: Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-100step-flan
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Korabbit/Llama-2-7b-chat-hf-afr-100step-flan](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-100step-flan)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T11:18:09.449875](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan/blob/main/results_2023-12-04T11-18-09.449875.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.4851611654629593,\n\
\ \"acc_stderr\": 0.03426525263666884,\n \"acc_norm\": 0.4898062511997487,\n\
\ \"acc_norm_stderr\": 0.03501503528186299,\n \"mc1\": 0.30354957160342716,\n\
\ \"mc1_stderr\": 0.016095884155386847,\n \"mc2\": 0.4566539974272441,\n\
\ \"mc2_stderr\": 0.01564839684478776\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.4948805460750853,\n \"acc_stderr\": 0.01461062489030916,\n\
\ \"acc_norm\": 0.5290102389078498,\n \"acc_norm_stderr\": 0.014586776355294323\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5961959768970324,\n\
\ \"acc_stderr\": 0.004896563126116811,\n \"acc_norm\": 0.7844054969129656,\n\
\ \"acc_norm_stderr\": 0.004103936879526262\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542129,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542129\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4222222222222222,\n\
\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.4222222222222222,\n\
\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.48026315789473684,\n \"acc_stderr\": 0.040657710025626036,\n\
\ \"acc_norm\": 0.48026315789473684,\n \"acc_norm_stderr\": 0.040657710025626036\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
\ \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.53,\n \
\ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.5433962264150943,\n \"acc_stderr\": 0.03065674869673943,\n\
\ \"acc_norm\": 0.5433962264150943,\n \"acc_norm_stderr\": 0.03065674869673943\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5208333333333334,\n\
\ \"acc_stderr\": 0.041775789507399935,\n \"acc_norm\": 0.5208333333333334,\n\
\ \"acc_norm_stderr\": 0.041775789507399935\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\"\
: 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4046242774566474,\n\
\ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.4046242774566474,\n\
\ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.58,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n\
\ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.4085106382978723,\n \"acc_stderr\": 0.03213418026701576,\n\
\ \"acc_norm\": 0.4085106382978723,\n \"acc_norm_stderr\": 0.03213418026701576\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.37719298245614036,\n\
\ \"acc_stderr\": 0.045595221419582166,\n \"acc_norm\": 0.37719298245614036,\n\
\ \"acc_norm_stderr\": 0.045595221419582166\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.503448275862069,\n \"acc_stderr\": 0.041665675771015785,\n\
\ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.041665675771015785\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.2962962962962963,\n \"acc_stderr\": 0.023517294335963286,\n \"\
acc_norm\": 0.2962962962962963,\n \"acc_norm_stderr\": 0.023517294335963286\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.24603174603174602,\n\
\ \"acc_stderr\": 0.03852273364924314,\n \"acc_norm\": 0.24603174603174602,\n\
\ \"acc_norm_stderr\": 0.03852273364924314\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.048241815132442176,\n \
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.048241815132442176\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.5225806451612903,\n \"acc_stderr\": 0.02841498501970786,\n \"\
acc_norm\": 0.5225806451612903,\n \"acc_norm_stderr\": 0.02841498501970786\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.3645320197044335,\n \"acc_stderr\": 0.033864057460620905,\n \"\
acc_norm\": 0.3645320197044335,\n \"acc_norm_stderr\": 0.033864057460620905\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.41,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\"\
: 0.41,\n \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.5878787878787879,\n \"acc_stderr\": 0.03843566993588717,\n\
\ \"acc_norm\": 0.5878787878787879,\n \"acc_norm_stderr\": 0.03843566993588717\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.6060606060606061,\n \"acc_stderr\": 0.034812853382329624,\n \"\
acc_norm\": 0.6060606060606061,\n \"acc_norm_stderr\": 0.034812853382329624\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.7150259067357513,\n \"acc_stderr\": 0.032577140777096614,\n\
\ \"acc_norm\": 0.7150259067357513,\n \"acc_norm_stderr\": 0.032577140777096614\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.4256410256410256,\n \"acc_stderr\": 0.02506909438729654,\n \
\ \"acc_norm\": 0.4256410256410256,\n \"acc_norm_stderr\": 0.02506909438729654\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.26296296296296295,\n \"acc_stderr\": 0.02684205787383371,\n \
\ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.02684205787383371\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.42436974789915966,\n \"acc_stderr\": 0.03210479051015776,\n\
\ \"acc_norm\": 0.42436974789915966,\n \"acc_norm_stderr\": 0.03210479051015776\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2847682119205298,\n \"acc_stderr\": 0.036848815213890225,\n \"\
acc_norm\": 0.2847682119205298,\n \"acc_norm_stderr\": 0.036848815213890225\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.6770642201834862,\n \"acc_stderr\": 0.02004811592341532,\n \"\
acc_norm\": 0.6770642201834862,\n \"acc_norm_stderr\": 0.02004811592341532\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.3333333333333333,\n \"acc_stderr\": 0.0321495214780275,\n \"acc_norm\"\
: 0.3333333333333333,\n \"acc_norm_stderr\": 0.0321495214780275\n },\n\
\ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.6666666666666666,\n\
\ \"acc_stderr\": 0.03308611113236434,\n \"acc_norm\": 0.6666666666666666,\n\
\ \"acc_norm_stderr\": 0.03308611113236434\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
: {\n \"acc\": 0.679324894514768,\n \"acc_stderr\": 0.030381931949990403,\n\
\ \"acc_norm\": 0.679324894514768,\n \"acc_norm_stderr\": 0.030381931949990403\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5695067264573991,\n\
\ \"acc_stderr\": 0.033231973029429394,\n \"acc_norm\": 0.5695067264573991,\n\
\ \"acc_norm_stderr\": 0.033231973029429394\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.5725190839694656,\n \"acc_stderr\": 0.04338920305792401,\n\
\ \"acc_norm\": 0.5725190839694656,\n \"acc_norm_stderr\": 0.04338920305792401\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.6363636363636364,\n \"acc_stderr\": 0.043913262867240704,\n \"\
acc_norm\": 0.6363636363636364,\n \"acc_norm_stderr\": 0.043913262867240704\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6018518518518519,\n\
\ \"acc_stderr\": 0.04732332615978813,\n \"acc_norm\": 0.6018518518518519,\n\
\ \"acc_norm_stderr\": 0.04732332615978813\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.558282208588957,\n \"acc_stderr\": 0.03901591825836184,\n\
\ \"acc_norm\": 0.558282208588957,\n \"acc_norm_stderr\": 0.03901591825836184\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3125,\n\
\ \"acc_stderr\": 0.043994650575715215,\n \"acc_norm\": 0.3125,\n\
\ \"acc_norm_stderr\": 0.043994650575715215\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6699029126213593,\n \"acc_stderr\": 0.04656147110012351,\n\
\ \"acc_norm\": 0.6699029126213593,\n \"acc_norm_stderr\": 0.04656147110012351\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.717948717948718,\n\
\ \"acc_stderr\": 0.029480360549541194,\n \"acc_norm\": 0.717948717948718,\n\
\ \"acc_norm_stderr\": 0.029480360549541194\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6768837803320562,\n\
\ \"acc_stderr\": 0.016723726512343048,\n \"acc_norm\": 0.6768837803320562,\n\
\ \"acc_norm_stderr\": 0.016723726512343048\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.5173410404624278,\n \"acc_stderr\": 0.02690290045866664,\n\
\ \"acc_norm\": 0.5173410404624278,\n \"acc_norm_stderr\": 0.02690290045866664\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2212290502793296,\n\
\ \"acc_stderr\": 0.013882164598887275,\n \"acc_norm\": 0.2212290502793296,\n\
\ \"acc_norm_stderr\": 0.013882164598887275\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.5163398692810458,\n \"acc_stderr\": 0.02861462475280544,\n\
\ \"acc_norm\": 0.5163398692810458,\n \"acc_norm_stderr\": 0.02861462475280544\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5659163987138264,\n\
\ \"acc_stderr\": 0.02815023224453559,\n \"acc_norm\": 0.5659163987138264,\n\
\ \"acc_norm_stderr\": 0.02815023224453559\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.5648148148148148,\n \"acc_stderr\": 0.0275860062216077,\n\
\ \"acc_norm\": 0.5648148148148148,\n \"acc_norm_stderr\": 0.0275860062216077\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.36879432624113473,\n \"acc_stderr\": 0.02878222756134724,\n \
\ \"acc_norm\": 0.36879432624113473,\n \"acc_norm_stderr\": 0.02878222756134724\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.34876140808344197,\n\
\ \"acc_stderr\": 0.01217203515712712,\n \"acc_norm\": 0.34876140808344197,\n\
\ \"acc_norm_stderr\": 0.01217203515712712\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.45955882352941174,\n \"acc_stderr\": 0.03027332507734576,\n\
\ \"acc_norm\": 0.45955882352941174,\n \"acc_norm_stderr\": 0.03027332507734576\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.48366013071895425,\n \"acc_stderr\": 0.020217030653186453,\n \
\ \"acc_norm\": 0.48366013071895425,\n \"acc_norm_stderr\": 0.020217030653186453\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5363636363636364,\n\
\ \"acc_stderr\": 0.04776449162396197,\n \"acc_norm\": 0.5363636363636364,\n\
\ \"acc_norm_stderr\": 0.04776449162396197\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.5224489795918368,\n \"acc_stderr\": 0.031976941187136725,\n\
\ \"acc_norm\": 0.5224489795918368,\n \"acc_norm_stderr\": 0.031976941187136725\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6467661691542289,\n\
\ \"acc_stderr\": 0.03379790611796777,\n \"acc_norm\": 0.6467661691542289,\n\
\ \"acc_norm_stderr\": 0.03379790611796777\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \
\ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.43373493975903615,\n\
\ \"acc_stderr\": 0.03858158940685517,\n \"acc_norm\": 0.43373493975903615,\n\
\ \"acc_norm_stderr\": 0.03858158940685517\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7251461988304093,\n \"acc_stderr\": 0.034240429246915824,\n\
\ \"acc_norm\": 0.7251461988304093,\n \"acc_norm_stderr\": 0.034240429246915824\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.30354957160342716,\n\
\ \"mc1_stderr\": 0.016095884155386847,\n \"mc2\": 0.4566539974272441,\n\
\ \"mc2_stderr\": 0.01564839684478776\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7237569060773481,\n \"acc_stderr\": 0.012566815015698158\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.19484457922668688,\n \
\ \"acc_stderr\": 0.010910039409578768\n }\n}\n```"
repo_url: https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-100step-flan
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-18-09.449875.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-18-09.449875.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- '**/details_harness|winogrande|5_2023-12-04T11-18-09.449875.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T11-18-09.449875.parquet'
- config_name: results
data_files:
- split: 2023_12_04T11_18_09.449875
path:
- results_2023-12-04T11-18-09.449875.parquet
- split: latest
path:
- results_2023-12-04T11-18-09.449875.parquet
---
# Dataset Card for Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-100step-flan
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-100step-flan
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Korabbit/Llama-2-7b-chat-hf-afr-100step-flan](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-100step-flan) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T11:18:09.449875](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan/blob/main/results_2023-12-04T11-18-09.449875.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
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"acc_stderr": 0.03426525263666884,
"acc_norm": 0.4898062511997487,
"acc_norm_stderr": 0.03501503528186299,
"mc1": 0.30354957160342716,
"mc1_stderr": 0.016095884155386847,
"mc2": 0.4566539974272441,
"mc2_stderr": 0.01564839684478776
},
"harness|arc:challenge|25": {
"acc": 0.4948805460750853,
"acc_stderr": 0.01461062489030916,
"acc_norm": 0.5290102389078498,
"acc_norm_stderr": 0.014586776355294323
},
"harness|hellaswag|10": {
"acc": 0.5961959768970324,
"acc_stderr": 0.004896563126116811,
"acc_norm": 0.7844054969129656,
"acc_norm_stderr": 0.004103936879526262
},
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"acc_norm": 0.28,
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},
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},
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},
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},
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"acc_norm": 0.5433962264150943,
"acc_norm_stderr": 0.03065674869673943
},
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"harness|hendrycksTest-high_school_us_history|5": {
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"harness|hendrycksTest-us_foreign_policy|5": {
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"harness|hendrycksTest-world_religions|5": {
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"acc_norm_stderr": 0.034240429246915824
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"harness|truthfulqa:mc|0": {
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"mc2": 0.4566539974272441,
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"harness|winogrande|5": {
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"acc_stderr": 0.012566815015698158
},
"harness|gsm8k|5": {
"acc": 0.19484457922668688,
"acc_stderr": 0.010910039409578768
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_abacusai__Giraffe-beta-13b-32k | open-llm-leaderboard | 2023-12-04T11:27:24Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T11:26:41Z | ---
pretty_name: Evaluation run of abacusai/Giraffe-beta-13b-32k
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [abacusai/Giraffe-beta-13b-32k](https://huggingface.co/abacusai/Giraffe-beta-13b-32k)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_abacusai__Giraffe-beta-13b-32k\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T11:23:46.573377](https://huggingface.co/datasets/open-llm-leaderboard/details_abacusai__Giraffe-beta-13b-32k/blob/main/results_2023-12-04T11-23-46.573377.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5350938644943618,\n\
\ \"acc_stderr\": 0.03417616181346088,\n \"acc_norm\": 0.5410188997846813,\n\
\ \"acc_norm_stderr\": 0.03491906704101023,\n \"mc1\": 0.28518971848225216,\n\
\ \"mc1_stderr\": 0.015805827874454892,\n \"mc2\": 0.4258338965668367,\n\
\ \"mc2_stderr\": 0.014377658114706975\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5204778156996587,\n \"acc_stderr\": 0.014599131353035009,\n\
\ \"acc_norm\": 0.5563139931740614,\n \"acc_norm_stderr\": 0.01451842182567045\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6017725552678749,\n\
\ \"acc_stderr\": 0.004885323175701676,\n \"acc_norm\": 0.8042222664807808,\n\
\ \"acc_norm_stderr\": 0.003959872578165267\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4962962962962963,\n\
\ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.4962962962962963,\n\
\ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.5526315789473685,\n \"acc_stderr\": 0.0404633688397825,\n\
\ \"acc_norm\": 0.5526315789473685,\n \"acc_norm_stderr\": 0.0404633688397825\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
\ \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.53,\n \
\ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.5584905660377358,\n \"acc_stderr\": 0.03056159042673183,\n\
\ \"acc_norm\": 0.5584905660377358,\n \"acc_norm_stderr\": 0.03056159042673183\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5347222222222222,\n\
\ \"acc_stderr\": 0.04171115858181618,\n \"acc_norm\": 0.5347222222222222,\n\
\ \"acc_norm_stderr\": 0.04171115858181618\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\
: 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \
\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.47398843930635837,\n\
\ \"acc_stderr\": 0.038073017265045125,\n \"acc_norm\": 0.47398843930635837,\n\
\ \"acc_norm_stderr\": 0.038073017265045125\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.30392156862745096,\n \"acc_stderr\": 0.04576665403207762,\n\
\ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.04576665403207762\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.67,\n \"acc_stderr\": 0.04725815626252607,\n \"acc_norm\": 0.67,\n\
\ \"acc_norm_stderr\": 0.04725815626252607\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.42127659574468085,\n \"acc_stderr\": 0.03227834510146268,\n\
\ \"acc_norm\": 0.42127659574468085,\n \"acc_norm_stderr\": 0.03227834510146268\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3157894736842105,\n\
\ \"acc_stderr\": 0.04372748290278007,\n \"acc_norm\": 0.3157894736842105,\n\
\ \"acc_norm_stderr\": 0.04372748290278007\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.496551724137931,\n \"acc_stderr\": 0.041665675771015785,\n\
\ \"acc_norm\": 0.496551724137931,\n \"acc_norm_stderr\": 0.041665675771015785\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.31216931216931215,\n \"acc_stderr\": 0.0238652068369726,\n \"\
acc_norm\": 0.31216931216931215,\n \"acc_norm_stderr\": 0.0238652068369726\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.373015873015873,\n\
\ \"acc_stderr\": 0.04325506042017086,\n \"acc_norm\": 0.373015873015873,\n\
\ \"acc_norm_stderr\": 0.04325506042017086\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6064516129032258,\n\
\ \"acc_stderr\": 0.027791878753132267,\n \"acc_norm\": 0.6064516129032258,\n\
\ \"acc_norm_stderr\": 0.027791878753132267\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.37438423645320196,\n \"acc_stderr\": 0.03405155380561953,\n\
\ \"acc_norm\": 0.37438423645320196,\n \"acc_norm_stderr\": 0.03405155380561953\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\
: 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.6,\n \"acc_stderr\": 0.03825460278380026,\n \
\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.03825460278380026\n },\n\
\ \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\": 0.6161616161616161,\n\
\ \"acc_stderr\": 0.03464881675016341,\n \"acc_norm\": 0.6161616161616161,\n\
\ \"acc_norm_stderr\": 0.03464881675016341\n },\n \"harness|hendrycksTest-high_school_government_and_politics|5\"\
: {\n \"acc\": 0.7564766839378239,\n \"acc_stderr\": 0.030975436386845436,\n\
\ \"acc_norm\": 0.7564766839378239,\n \"acc_norm_stderr\": 0.030975436386845436\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.4794871794871795,\n \"acc_stderr\": 0.02532966316348994,\n \
\ \"acc_norm\": 0.4794871794871795,\n \"acc_norm_stderr\": 0.02532966316348994\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \
\ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.5252100840336135,\n \"acc_stderr\": 0.0324371805513741,\n \
\ \"acc_norm\": 0.5252100840336135,\n \"acc_norm_stderr\": 0.0324371805513741\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.31125827814569534,\n \"acc_stderr\": 0.03780445850526733,\n \"\
acc_norm\": 0.31125827814569534,\n \"acc_norm_stderr\": 0.03780445850526733\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.708256880733945,\n \"acc_stderr\": 0.019489300968876508,\n \"\
acc_norm\": 0.708256880733945,\n \"acc_norm_stderr\": 0.019489300968876508\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.4722222222222222,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\
: 0.4722222222222222,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\
\ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.75,\n\
\ \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.75,\n \
\ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
: {\n \"acc\": 0.6877637130801688,\n \"acc_stderr\": 0.030165137867847,\n\
\ \"acc_norm\": 0.6877637130801688,\n \"acc_norm_stderr\": 0.030165137867847\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6367713004484304,\n\
\ \"acc_stderr\": 0.03227790442850499,\n \"acc_norm\": 0.6367713004484304,\n\
\ \"acc_norm_stderr\": 0.03227790442850499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.5419847328244275,\n \"acc_stderr\": 0.04369802690578756,\n\
\ \"acc_norm\": 0.5419847328244275,\n \"acc_norm_stderr\": 0.04369802690578756\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516303,\n \"\
acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516303\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6203703703703703,\n\
\ \"acc_stderr\": 0.04691521224077742,\n \"acc_norm\": 0.6203703703703703,\n\
\ \"acc_norm_stderr\": 0.04691521224077742\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.6257668711656442,\n \"acc_stderr\": 0.03802068102899615,\n\
\ \"acc_norm\": 0.6257668711656442,\n \"acc_norm_stderr\": 0.03802068102899615\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.29464285714285715,\n\
\ \"acc_stderr\": 0.0432704093257873,\n \"acc_norm\": 0.29464285714285715,\n\
\ \"acc_norm_stderr\": 0.0432704093257873\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6407766990291263,\n \"acc_stderr\": 0.04750458399041696,\n\
\ \"acc_norm\": 0.6407766990291263,\n \"acc_norm_stderr\": 0.04750458399041696\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7478632478632479,\n\
\ \"acc_stderr\": 0.02844796547623102,\n \"acc_norm\": 0.7478632478632479,\n\
\ \"acc_norm_stderr\": 0.02844796547623102\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \
\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.049236596391733084\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7049808429118773,\n\
\ \"acc_stderr\": 0.01630836377293273,\n \"acc_norm\": 0.7049808429118773,\n\
\ \"acc_norm_stderr\": 0.01630836377293273\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6098265895953757,\n \"acc_stderr\": 0.02626167760780665,\n\
\ \"acc_norm\": 0.6098265895953757,\n \"acc_norm_stderr\": 0.02626167760780665\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.36983240223463687,\n\
\ \"acc_stderr\": 0.016145881256056215,\n \"acc_norm\": 0.36983240223463687,\n\
\ \"acc_norm_stderr\": 0.016145881256056215\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6013071895424836,\n \"acc_stderr\": 0.028036092273891776,\n\
\ \"acc_norm\": 0.6013071895424836,\n \"acc_norm_stderr\": 0.028036092273891776\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.617363344051447,\n\
\ \"acc_stderr\": 0.02760468902858199,\n \"acc_norm\": 0.617363344051447,\n\
\ \"acc_norm_stderr\": 0.02760468902858199\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6141975308641975,\n \"acc_stderr\": 0.027085401226132143,\n\
\ \"acc_norm\": 0.6141975308641975,\n \"acc_norm_stderr\": 0.027085401226132143\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.40425531914893614,\n \"acc_stderr\": 0.029275532159704725,\n \
\ \"acc_norm\": 0.40425531914893614,\n \"acc_norm_stderr\": 0.029275532159704725\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3983050847457627,\n\
\ \"acc_stderr\": 0.012503310565166244,\n \"acc_norm\": 0.3983050847457627,\n\
\ \"acc_norm_stderr\": 0.012503310565166244\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.5147058823529411,\n \"acc_stderr\": 0.03035969707904612,\n\
\ \"acc_norm\": 0.5147058823529411,\n \"acc_norm_stderr\": 0.03035969707904612\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.5408496732026143,\n \"acc_stderr\": 0.020160213617222516,\n \
\ \"acc_norm\": 0.5408496732026143,\n \"acc_norm_stderr\": 0.020160213617222516\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6363636363636364,\n\
\ \"acc_stderr\": 0.046075820907199756,\n \"acc_norm\": 0.6363636363636364,\n\
\ \"acc_norm_stderr\": 0.046075820907199756\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.6448979591836734,\n \"acc_stderr\": 0.030635655150387638,\n\
\ \"acc_norm\": 0.6448979591836734,\n \"acc_norm_stderr\": 0.030635655150387638\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.736318407960199,\n\
\ \"acc_stderr\": 0.03115715086935555,\n \"acc_norm\": 0.736318407960199,\n\
\ \"acc_norm_stderr\": 0.03115715086935555\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \
\ \"acc_norm\": 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.46987951807228917,\n\
\ \"acc_stderr\": 0.03885425420866766,\n \"acc_norm\": 0.46987951807228917,\n\
\ \"acc_norm_stderr\": 0.03885425420866766\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7426900584795322,\n \"acc_stderr\": 0.03352799844161865,\n\
\ \"acc_norm\": 0.7426900584795322,\n \"acc_norm_stderr\": 0.03352799844161865\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.28518971848225216,\n\
\ \"mc1_stderr\": 0.015805827874454892,\n \"mc2\": 0.4258338965668367,\n\
\ \"mc2_stderr\": 0.014377658114706975\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7458563535911602,\n \"acc_stderr\": 0.012236307219708267\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.21304018195602728,\n \
\ \"acc_stderr\": 0.01127844785690078\n }\n}\n```"
repo_url: https://huggingface.co/abacusai/Giraffe-beta-13b-32k
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-23-46.573377.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
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path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-23-46.573377.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- '**/details_harness|winogrande|5_2023-12-04T11-23-46.573377.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T11-23-46.573377.parquet'
- config_name: results
data_files:
- split: 2023_12_04T11_23_46.573377
path:
- results_2023-12-04T11-23-46.573377.parquet
- split: latest
path:
- results_2023-12-04T11-23-46.573377.parquet
---
# Dataset Card for Evaluation run of abacusai/Giraffe-beta-13b-32k
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/abacusai/Giraffe-beta-13b-32k
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [abacusai/Giraffe-beta-13b-32k](https://huggingface.co/abacusai/Giraffe-beta-13b-32k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_abacusai__Giraffe-beta-13b-32k",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T11:23:46.573377](https://huggingface.co/datasets/open-llm-leaderboard/details_abacusai__Giraffe-beta-13b-32k/blob/main/results_2023-12-04T11-23-46.573377.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.5350938644943618,
"acc_stderr": 0.03417616181346088,
"acc_norm": 0.5410188997846813,
"acc_norm_stderr": 0.03491906704101023,
"mc1": 0.28518971848225216,
"mc1_stderr": 0.015805827874454892,
"mc2": 0.4258338965668367,
"mc2_stderr": 0.014377658114706975
},
"harness|arc:challenge|25": {
"acc": 0.5204778156996587,
"acc_stderr": 0.014599131353035009,
"acc_norm": 0.5563139931740614,
"acc_norm_stderr": 0.01451842182567045
},
"harness|hellaswag|10": {
"acc": 0.6017725552678749,
"acc_stderr": 0.004885323175701676,
"acc_norm": 0.8042222664807808,
"acc_norm_stderr": 0.003959872578165267
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.27,
"acc_stderr": 0.04461960433384741,
"acc_norm": 0.27,
"acc_norm_stderr": 0.04461960433384741
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.4962962962962963,
"acc_stderr": 0.04319223625811331,
"acc_norm": 0.4962962962962963,
"acc_norm_stderr": 0.04319223625811331
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.5526315789473685,
"acc_stderr": 0.0404633688397825,
"acc_norm": 0.5526315789473685,
"acc_norm_stderr": 0.0404633688397825
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.53,
"acc_stderr": 0.05016135580465919,
"acc_norm": 0.53,
"acc_norm_stderr": 0.05016135580465919
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.5584905660377358,
"acc_stderr": 0.03056159042673183,
"acc_norm": 0.5584905660377358,
"acc_norm_stderr": 0.03056159042673183
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.5347222222222222,
"acc_stderr": 0.04171115858181618,
"acc_norm": 0.5347222222222222,
"acc_norm_stderr": 0.04171115858181618
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.38,
"acc_stderr": 0.048783173121456316,
"acc_norm": 0.38,
"acc_norm_stderr": 0.048783173121456316
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.46,
"acc_stderr": 0.05009082659620333,
"acc_norm": 0.46,
"acc_norm_stderr": 0.05009082659620333
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.4,
"acc_stderr": 0.049236596391733084,
"acc_norm": 0.4,
"acc_norm_stderr": 0.049236596391733084
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.47398843930635837,
"acc_stderr": 0.038073017265045125,
"acc_norm": 0.47398843930635837,
"acc_norm_stderr": 0.038073017265045125
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.30392156862745096,
"acc_stderr": 0.04576665403207762,
"acc_norm": 0.30392156862745096,
"acc_norm_stderr": 0.04576665403207762
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.67,
"acc_stderr": 0.04725815626252607,
"acc_norm": 0.67,
"acc_norm_stderr": 0.04725815626252607
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.42127659574468085,
"acc_stderr": 0.03227834510146268,
"acc_norm": 0.42127659574468085,
"acc_norm_stderr": 0.03227834510146268
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.3157894736842105,
"acc_stderr": 0.04372748290278007,
"acc_norm": 0.3157894736842105,
"acc_norm_stderr": 0.04372748290278007
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.496551724137931,
"acc_stderr": 0.041665675771015785,
"acc_norm": 0.496551724137931,
"acc_norm_stderr": 0.041665675771015785
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.31216931216931215,
"acc_stderr": 0.0238652068369726,
"acc_norm": 0.31216931216931215,
"acc_norm_stderr": 0.0238652068369726
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.373015873015873,
"acc_stderr": 0.04325506042017086,
"acc_norm": 0.373015873015873,
"acc_norm_stderr": 0.04325506042017086
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.6064516129032258,
"acc_stderr": 0.027791878753132267,
"acc_norm": 0.6064516129032258,
"acc_norm_stderr": 0.027791878753132267
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.37438423645320196,
"acc_stderr": 0.03405155380561953,
"acc_norm": 0.37438423645320196,
"acc_norm_stderr": 0.03405155380561953
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.54,
"acc_stderr": 0.05009082659620333,
"acc_norm": 0.54,
"acc_norm_stderr": 0.05009082659620333
},
"harness|hendrycksTest-high_school_european_history|5": {
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_Weyaxi__Platypus-Nebula-v2-7B | open-llm-leaderboard | 2023-12-04T11:29:27Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T11:28:45Z | ---
pretty_name: Evaluation run of Weyaxi/Platypus-Nebula-v2-7B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Weyaxi/Platypus-Nebula-v2-7B](https://huggingface.co/Weyaxi/Platypus-Nebula-v2-7B)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Weyaxi__Platypus-Nebula-v2-7B\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T11:25:54.972492](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Platypus-Nebula-v2-7B/blob/main/results_2023-12-04T11-25-54.972492.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5564269677143451,\n\
\ \"acc_stderr\": 0.03374811024697019,\n \"acc_norm\": 0.5651516514420288,\n\
\ \"acc_norm_stderr\": 0.03451915951620442,\n \"mc1\": 0.3268053855569155,\n\
\ \"mc1_stderr\": 0.01641987473113502,\n \"mc2\": 0.4693887506938676,\n\
\ \"mc2_stderr\": 0.015134250861855079\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5213310580204779,\n \"acc_stderr\": 0.014598087973127108,\n\
\ \"acc_norm\": 0.5537542662116041,\n \"acc_norm_stderr\": 0.014526705548539982\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6377215694084843,\n\
\ \"acc_stderr\": 0.004796763521045228,\n \"acc_norm\": 0.8302131049591714,\n\
\ \"acc_norm_stderr\": 0.003746781712509652\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.046482319871173156,\n \
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.046482319871173156\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5333333333333333,\n\
\ \"acc_stderr\": 0.043097329010363554,\n \"acc_norm\": 0.5333333333333333,\n\
\ \"acc_norm_stderr\": 0.043097329010363554\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.5723684210526315,\n \"acc_stderr\": 0.04026097083296564,\n\
\ \"acc_norm\": 0.5723684210526315,\n \"acc_norm_stderr\": 0.04026097083296564\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.52,\n\
\ \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n \
\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.5584905660377358,\n \"acc_stderr\": 0.030561590426731833,\n\
\ \"acc_norm\": 0.5584905660377358,\n \"acc_norm_stderr\": 0.030561590426731833\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6319444444444444,\n\
\ \"acc_stderr\": 0.04032999053960718,\n \"acc_norm\": 0.6319444444444444,\n\
\ \"acc_norm_stderr\": 0.04032999053960718\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.43,\n\
\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5664739884393064,\n\
\ \"acc_stderr\": 0.03778621079092055,\n \"acc_norm\": 0.5664739884393064,\n\
\ \"acc_norm_stderr\": 0.03778621079092055\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.04784060704105654,\n\
\ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.04784060704105654\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\": 0.73,\n\
\ \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.49361702127659574,\n \"acc_stderr\": 0.03268335899936337,\n\
\ \"acc_norm\": 0.49361702127659574,\n \"acc_norm_stderr\": 0.03268335899936337\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.42105263157894735,\n\
\ \"acc_stderr\": 0.046446020912223177,\n \"acc_norm\": 0.42105263157894735,\n\
\ \"acc_norm_stderr\": 0.046446020912223177\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.4413793103448276,\n \"acc_stderr\": 0.04137931034482758,\n\
\ \"acc_norm\": 0.4413793103448276,\n \"acc_norm_stderr\": 0.04137931034482758\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137595,\n \"\
acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137595\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3968253968253968,\n\
\ \"acc_stderr\": 0.043758884927270605,\n \"acc_norm\": 0.3968253968253968,\n\
\ \"acc_norm_stderr\": 0.043758884927270605\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.6612903225806451,\n \"acc_stderr\": 0.026923446059302844,\n \"\
acc_norm\": 0.6612903225806451,\n \"acc_norm_stderr\": 0.026923446059302844\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.42857142857142855,\n \"acc_stderr\": 0.03481904844438804,\n \"\
acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.03481904844438804\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.58,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\"\
: 0.58,\n \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.703030303030303,\n \"acc_stderr\": 0.035679697722680495,\n\
\ \"acc_norm\": 0.703030303030303,\n \"acc_norm_stderr\": 0.035679697722680495\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.6868686868686869,\n \"acc_stderr\": 0.033042050878136525,\n \"\
acc_norm\": 0.6868686868686869,\n \"acc_norm_stderr\": 0.033042050878136525\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.7202072538860104,\n \"acc_stderr\": 0.03239637046735704,\n\
\ \"acc_norm\": 0.7202072538860104,\n \"acc_norm_stderr\": 0.03239637046735704\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.5282051282051282,\n \"acc_stderr\": 0.025310639254933882,\n\
\ \"acc_norm\": 0.5282051282051282,\n \"acc_norm_stderr\": 0.025310639254933882\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.27037037037037037,\n \"acc_stderr\": 0.027080372815145654,\n \
\ \"acc_norm\": 0.27037037037037037,\n \"acc_norm_stderr\": 0.027080372815145654\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.5378151260504201,\n \"acc_stderr\": 0.0323854694875898,\n \
\ \"acc_norm\": 0.5378151260504201,\n \"acc_norm_stderr\": 0.0323854694875898\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.33774834437086093,\n \"acc_stderr\": 0.0386155754625517,\n \"\
acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.0386155754625517\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.7963302752293578,\n \"acc_stderr\": 0.01726674208763079,\n \"\
acc_norm\": 0.7963302752293578,\n \"acc_norm_stderr\": 0.01726674208763079\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.375,\n \"acc_stderr\": 0.033016908987210894,\n \"acc_norm\": 0.375,\n\
\ \"acc_norm_stderr\": 0.033016908987210894\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\
: {\n \"acc\": 0.7009803921568627,\n \"acc_stderr\": 0.03213325717373617,\n\
\ \"acc_norm\": 0.7009803921568627,\n \"acc_norm_stderr\": 0.03213325717373617\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7383966244725738,\n \"acc_stderr\": 0.028609516716994934,\n \
\ \"acc_norm\": 0.7383966244725738,\n \"acc_norm_stderr\": 0.028609516716994934\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6457399103139013,\n\
\ \"acc_stderr\": 0.032100621541349864,\n \"acc_norm\": 0.6457399103139013,\n\
\ \"acc_norm_stderr\": 0.032100621541349864\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.6870229007633588,\n \"acc_stderr\": 0.04066962905677697,\n\
\ \"acc_norm\": 0.6870229007633588,\n \"acc_norm_stderr\": 0.04066962905677697\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.743801652892562,\n \"acc_stderr\": 0.039849796533028725,\n \"\
acc_norm\": 0.743801652892562,\n \"acc_norm_stderr\": 0.039849796533028725\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6574074074074074,\n\
\ \"acc_stderr\": 0.045879047413018105,\n \"acc_norm\": 0.6574074074074074,\n\
\ \"acc_norm_stderr\": 0.045879047413018105\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.6871165644171779,\n \"acc_stderr\": 0.036429145782924055,\n\
\ \"acc_norm\": 0.6871165644171779,\n \"acc_norm_stderr\": 0.036429145782924055\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.35714285714285715,\n\
\ \"acc_stderr\": 0.04547960999764376,\n \"acc_norm\": 0.35714285714285715,\n\
\ \"acc_norm_stderr\": 0.04547960999764376\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7281553398058253,\n \"acc_stderr\": 0.044052680241409216,\n\
\ \"acc_norm\": 0.7281553398058253,\n \"acc_norm_stderr\": 0.044052680241409216\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8076923076923077,\n\
\ \"acc_stderr\": 0.025819233256483717,\n \"acc_norm\": 0.8076923076923077,\n\
\ \"acc_norm_stderr\": 0.025819233256483717\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.65,\n \"acc_stderr\": 0.0479372485441102,\n \
\ \"acc_norm\": 0.65,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\
\ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7790549169859514,\n\
\ \"acc_stderr\": 0.01483620516733356,\n \"acc_norm\": 0.7790549169859514,\n\
\ \"acc_norm_stderr\": 0.01483620516733356\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.5895953757225434,\n \"acc_stderr\": 0.02648339204209818,\n\
\ \"acc_norm\": 0.5895953757225434,\n \"acc_norm_stderr\": 0.02648339204209818\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3206703910614525,\n\
\ \"acc_stderr\": 0.015609929559348402,\n \"acc_norm\": 0.3206703910614525,\n\
\ \"acc_norm_stderr\": 0.015609929559348402\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6045751633986928,\n \"acc_stderr\": 0.027996723180631438,\n\
\ \"acc_norm\": 0.6045751633986928,\n \"acc_norm_stderr\": 0.027996723180631438\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6977491961414791,\n\
\ \"acc_stderr\": 0.026082700695399662,\n \"acc_norm\": 0.6977491961414791,\n\
\ \"acc_norm_stderr\": 0.026082700695399662\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6790123456790124,\n \"acc_stderr\": 0.02597656601086274,\n\
\ \"acc_norm\": 0.6790123456790124,\n \"acc_norm_stderr\": 0.02597656601086274\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.42907801418439717,\n \"acc_stderr\": 0.02952591430255856,\n \
\ \"acc_norm\": 0.42907801418439717,\n \"acc_norm_stderr\": 0.02952591430255856\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4452411994784876,\n\
\ \"acc_stderr\": 0.012693421303973294,\n \"acc_norm\": 0.4452411994784876,\n\
\ \"acc_norm_stderr\": 0.012693421303973294\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.5919117647058824,\n \"acc_stderr\": 0.029855261393483924,\n\
\ \"acc_norm\": 0.5919117647058824,\n \"acc_norm_stderr\": 0.029855261393483924\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.5522875816993464,\n \"acc_stderr\": 0.020116925347422425,\n \
\ \"acc_norm\": 0.5522875816993464,\n \"acc_norm_stderr\": 0.020116925347422425\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6181818181818182,\n\
\ \"acc_stderr\": 0.046534298079135075,\n \"acc_norm\": 0.6181818181818182,\n\
\ \"acc_norm_stderr\": 0.046534298079135075\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.5020408163265306,\n \"acc_stderr\": 0.0320089533497105,\n\
\ \"acc_norm\": 0.5020408163265306,\n \"acc_norm_stderr\": 0.0320089533497105\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7263681592039801,\n\
\ \"acc_stderr\": 0.03152439186555404,\n \"acc_norm\": 0.7263681592039801,\n\
\ \"acc_norm_stderr\": 0.03152439186555404\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.8,\n \"acc_stderr\": 0.040201512610368445,\n \
\ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.040201512610368445\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4759036144578313,\n\
\ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.4759036144578313,\n\
\ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7602339181286549,\n \"acc_stderr\": 0.032744852119469564,\n\
\ \"acc_norm\": 0.7602339181286549,\n \"acc_norm_stderr\": 0.032744852119469564\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3268053855569155,\n\
\ \"mc1_stderr\": 0.01641987473113502,\n \"mc2\": 0.4693887506938676,\n\
\ \"mc2_stderr\": 0.015134250861855079\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7221783741120757,\n \"acc_stderr\": 0.01258891818387159\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.10083396512509477,\n \
\ \"acc_stderr\": 0.008294031192126605\n }\n}\n```"
repo_url: https://huggingface.co/Weyaxi/Platypus-Nebula-v2-7B
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-25-54.972492.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-25-54.972492.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- '**/details_harness|winogrande|5_2023-12-04T11-25-54.972492.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T11-25-54.972492.parquet'
- config_name: results
data_files:
- split: 2023_12_04T11_25_54.972492
path:
- results_2023-12-04T11-25-54.972492.parquet
- split: latest
path:
- results_2023-12-04T11-25-54.972492.parquet
---
# Dataset Card for Evaluation run of Weyaxi/Platypus-Nebula-v2-7B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Weyaxi/Platypus-Nebula-v2-7B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Weyaxi/Platypus-Nebula-v2-7B](https://huggingface.co/Weyaxi/Platypus-Nebula-v2-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Weyaxi__Platypus-Nebula-v2-7B",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T11:25:54.972492](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Platypus-Nebula-v2-7B/blob/main/results_2023-12-04T11-25-54.972492.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.5564269677143451,
"acc_stderr": 0.03374811024697019,
"acc_norm": 0.5651516514420288,
"acc_norm_stderr": 0.03451915951620442,
"mc1": 0.3268053855569155,
"mc1_stderr": 0.01641987473113502,
"mc2": 0.4693887506938676,
"mc2_stderr": 0.015134250861855079
},
"harness|arc:challenge|25": {
"acc": 0.5213310580204779,
"acc_stderr": 0.014598087973127108,
"acc_norm": 0.5537542662116041,
"acc_norm_stderr": 0.014526705548539982
},
"harness|hellaswag|10": {
"acc": 0.6377215694084843,
"acc_stderr": 0.004796763521045228,
"acc_norm": 0.8302131049591714,
"acc_norm_stderr": 0.003746781712509652
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.31,
"acc_stderr": 0.046482319871173156,
"acc_norm": 0.31,
"acc_norm_stderr": 0.046482319871173156
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.5333333333333333,
"acc_stderr": 0.043097329010363554,
"acc_norm": 0.5333333333333333,
"acc_norm_stderr": 0.043097329010363554
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.5723684210526315,
"acc_stderr": 0.04026097083296564,
"acc_norm": 0.5723684210526315,
"acc_norm_stderr": 0.04026097083296564
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.52,
"acc_stderr": 0.050211673156867795,
"acc_norm": 0.52,
"acc_norm_stderr": 0.050211673156867795
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.5584905660377358,
"acc_stderr": 0.030561590426731833,
"acc_norm": 0.5584905660377358,
"acc_norm_stderr": 0.030561590426731833
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.6319444444444444,
"acc_stderr": 0.04032999053960718,
"acc_norm": 0.6319444444444444,
"acc_norm_stderr": 0.04032999053960718
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.43,
"acc_stderr": 0.049756985195624284,
"acc_norm": 0.43,
"acc_norm_stderr": 0.049756985195624284
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.5664739884393064,
"acc_stderr": 0.03778621079092055,
"acc_norm": 0.5664739884393064,
"acc_norm_stderr": 0.03778621079092055
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.3627450980392157,
"acc_stderr": 0.04784060704105654,
"acc_norm": 0.3627450980392157,
"acc_norm_stderr": 0.04784060704105654
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.73,
"acc_stderr": 0.044619604333847394,
"acc_norm": 0.73,
"acc_norm_stderr": 0.044619604333847394
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.49361702127659574,
"acc_stderr": 0.03268335899936337,
"acc_norm": 0.49361702127659574,
"acc_norm_stderr": 0.03268335899936337
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.42105263157894735,
"acc_stderr": 0.046446020912223177,
"acc_norm": 0.42105263157894735,
"acc_norm_stderr": 0.046446020912223177
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.4413793103448276,
"acc_stderr": 0.04137931034482758,
"acc_norm": 0.4413793103448276,
"acc_norm_stderr": 0.04137931034482758
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.38095238095238093,
"acc_stderr": 0.025010749116137595,
"acc_norm": 0.38095238095238093,
"acc_norm_stderr": 0.025010749116137595
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.3968253968253968,
"acc_stderr": 0.043758884927270605,
"acc_norm": 0.3968253968253968,
"acc_norm_stderr": 0.043758884927270605
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.32,
"acc_stderr": 0.046882617226215034,
"acc_norm": 0.32,
"acc_norm_stderr": 0.046882617226215034
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.6612903225806451,
"acc_stderr": 0.026923446059302844,
"acc_norm": 0.6612903225806451,
"acc_norm_stderr": 0.026923446059302844
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.42857142857142855,
"acc_stderr": 0.03481904844438804,
"acc_norm": 0.42857142857142855,
"acc_norm_stderr": 0.03481904844438804
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.58,
"acc_stderr": 0.049604496374885836,
"acc_norm": 0.58,
"acc_norm_stderr": 0.049604496374885836
},
"harness|hendrycksTest-high_school_european_history|5": {
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"acc_norm": 0.703030303030303,
"acc_norm_stderr": 0.035679697722680495
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.6868686868686869,
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"acc_norm": 0.6868686868686869,
"acc_norm_stderr": 0.033042050878136525
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.7202072538860104,
"acc_stderr": 0.03239637046735704,
"acc_norm": 0.7202072538860104,
"acc_norm_stderr": 0.03239637046735704
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.5282051282051282,
"acc_stderr": 0.025310639254933882,
"acc_norm": 0.5282051282051282,
"acc_norm_stderr": 0.025310639254933882
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.27037037037037037,
"acc_stderr": 0.027080372815145654,
"acc_norm": 0.27037037037037037,
"acc_norm_stderr": 0.027080372815145654
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.5378151260504201,
"acc_stderr": 0.0323854694875898,
"acc_norm": 0.5378151260504201,
"acc_norm_stderr": 0.0323854694875898
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.33774834437086093,
"acc_stderr": 0.0386155754625517,
"acc_norm": 0.33774834437086093,
"acc_norm_stderr": 0.0386155754625517
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.7963302752293578,
"acc_stderr": 0.01726674208763079,
"acc_norm": 0.7963302752293578,
"acc_norm_stderr": 0.01726674208763079
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.375,
"acc_stderr": 0.033016908987210894,
"acc_norm": 0.375,
"acc_norm_stderr": 0.033016908987210894
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.7009803921568627,
"acc_stderr": 0.03213325717373617,
"acc_norm": 0.7009803921568627,
"acc_norm_stderr": 0.03213325717373617
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.7383966244725738,
"acc_stderr": 0.028609516716994934,
"acc_norm": 0.7383966244725738,
"acc_norm_stderr": 0.028609516716994934
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6457399103139013,
"acc_stderr": 0.032100621541349864,
"acc_norm": 0.6457399103139013,
"acc_norm_stderr": 0.032100621541349864
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.6870229007633588,
"acc_stderr": 0.04066962905677697,
"acc_norm": 0.6870229007633588,
"acc_norm_stderr": 0.04066962905677697
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.743801652892562,
"acc_stderr": 0.039849796533028725,
"acc_norm": 0.743801652892562,
"acc_norm_stderr": 0.039849796533028725
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.6574074074074074,
"acc_stderr": 0.045879047413018105,
"acc_norm": 0.6574074074074074,
"acc_norm_stderr": 0.045879047413018105
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.6871165644171779,
"acc_stderr": 0.036429145782924055,
"acc_norm": 0.6871165644171779,
"acc_norm_stderr": 0.036429145782924055
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.35714285714285715,
"acc_stderr": 0.04547960999764376,
"acc_norm": 0.35714285714285715,
"acc_norm_stderr": 0.04547960999764376
},
"harness|hendrycksTest-management|5": {
"acc": 0.7281553398058253,
"acc_stderr": 0.044052680241409216,
"acc_norm": 0.7281553398058253,
"acc_norm_stderr": 0.044052680241409216
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8076923076923077,
"acc_stderr": 0.025819233256483717,
"acc_norm": 0.8076923076923077,
"acc_norm_stderr": 0.025819233256483717
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.65,
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"acc_norm": 0.65,
"acc_norm_stderr": 0.0479372485441102
},
"harness|hendrycksTest-miscellaneous|5": {
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"acc_norm": 0.7790549169859514,
"acc_norm_stderr": 0.01483620516733356
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.5895953757225434,
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"acc_norm": 0.5895953757225434,
"acc_norm_stderr": 0.02648339204209818
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.3206703910614525,
"acc_stderr": 0.015609929559348402,
"acc_norm": 0.3206703910614525,
"acc_norm_stderr": 0.015609929559348402
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.6045751633986928,
"acc_stderr": 0.027996723180631438,
"acc_norm": 0.6045751633986928,
"acc_norm_stderr": 0.027996723180631438
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.6977491961414791,
"acc_stderr": 0.026082700695399662,
"acc_norm": 0.6977491961414791,
"acc_norm_stderr": 0.026082700695399662
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.6790123456790124,
"acc_stderr": 0.02597656601086274,
"acc_norm": 0.6790123456790124,
"acc_norm_stderr": 0.02597656601086274
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.42907801418439717,
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"acc_norm": 0.42907801418439717,
"acc_norm_stderr": 0.02952591430255856
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.4452411994784876,
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"acc_norm": 0.4452411994784876,
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},
"harness|hendrycksTest-professional_medicine|5": {
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"acc_norm": 0.5919117647058824,
"acc_norm_stderr": 0.029855261393483924
},
"harness|hendrycksTest-professional_psychology|5": {
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},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.6181818181818182,
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"acc_norm": 0.6181818181818182,
"acc_norm_stderr": 0.046534298079135075
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.5020408163265306,
"acc_stderr": 0.0320089533497105,
"acc_norm": 0.5020408163265306,
"acc_norm_stderr": 0.0320089533497105
},
"harness|hendrycksTest-sociology|5": {
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"acc_norm": 0.7263681592039801,
"acc_norm_stderr": 0.03152439186555404
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.8,
"acc_stderr": 0.040201512610368445,
"acc_norm": 0.8,
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},
"harness|hendrycksTest-virology|5": {
"acc": 0.4759036144578313,
"acc_stderr": 0.03887971849597264,
"acc_norm": 0.4759036144578313,
"acc_norm_stderr": 0.03887971849597264
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.7602339181286549,
"acc_stderr": 0.032744852119469564,
"acc_norm": 0.7602339181286549,
"acc_norm_stderr": 0.032744852119469564
},
"harness|truthfulqa:mc|0": {
"mc1": 0.3268053855569155,
"mc1_stderr": 0.01641987473113502,
"mc2": 0.4693887506938676,
"mc2_stderr": 0.015134250861855079
},
"harness|winogrande|5": {
"acc": 0.7221783741120757,
"acc_stderr": 0.01258891818387159
},
"harness|gsm8k|5": {
"acc": 0.10083396512509477,
"acc_stderr": 0.008294031192126605
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
amirali900/Anime-Face-Dataset-10k | amirali900 | 2023-12-04T11:29:36Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T11:29:27Z | ---
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 61809562.0
num_examples: 10000
download_size: 60422985
dataset_size: 61809562.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
HassenMh/ArabNER | HassenMh | 2023-12-04T12:01:23Z | 0 | 0 | [
"license:cc-by-nc-4.0",
"region:us"
]
| null | 2023-12-04T11:39:03Z | ---
license: cc-by-nc-4.0
---
# Create dataset for arabic named entiy
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|
mirfan899/movies_reviews_summaries | mirfan899 | 2023-12-04T11:44:23Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-04T11:42:26Z | ---
license: mit
---
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|
boeddeker/espnet_libri_css_diarize_spectral_rttm | boeddeker | 2023-12-04T11:54:56Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-04T11:50:37Z | ---
license: mit
---
The RTTM files are generated by executing the `libri_css` recipe from `ESPnet` (https://github.com/espnet/espnet/tree/master/egs/libri_css/asr1).
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|
open-llm-leaderboard/details_mlabonne__NeuralHermes-2.5-Mistral-7B | open-llm-leaderboard | 2023-12-04T11:54:49Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T11:54:06Z | ---
pretty_name: Evaluation run of mlabonne/NeuralHermes-2.5-Mistral-7B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_mlabonne__NeuralHermes-2.5-Mistral-7B\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T11:51:15.903375](https://huggingface.co/datasets/open-llm-leaderboard/details_mlabonne__NeuralHermes-2.5-Mistral-7B/blob/main/results_2023-12-04T11-51-15.903375.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6355941629435156,\n\
\ \"acc_stderr\": 0.03230794527671688,\n \"acc_norm\": 0.637383178314279,\n\
\ \"acc_norm_stderr\": 0.03295364147633226,\n \"mc1\": 0.3769889840881273,\n\
\ \"mc1_stderr\": 0.01696551757893035,\n \"mc2\": 0.5492935605551788,\n\
\ \"mc2_stderr\": 0.015342233606445274\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6245733788395904,\n \"acc_stderr\": 0.014150631435111726,\n\
\ \"acc_norm\": 0.6655290102389079,\n \"acc_norm_stderr\": 0.013787460322441374\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6593308105954989,\n\
\ \"acc_stderr\": 0.004729656826803945,\n \"acc_norm\": 0.8490340569607648,\n\
\ \"acc_norm_stderr\": 0.003572839969521997\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621503,\n \
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621503\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5851851851851851,\n\
\ \"acc_stderr\": 0.04256193767901408,\n \"acc_norm\": 0.5851851851851851,\n\
\ \"acc_norm_stderr\": 0.04256193767901408\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6973684210526315,\n \"acc_stderr\": 0.037385206761196686,\n\
\ \"acc_norm\": 0.6973684210526315,\n \"acc_norm_stderr\": 0.037385206761196686\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.56,\n\
\ \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \
\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6943396226415094,\n \"acc_stderr\": 0.028353298073322666,\n\
\ \"acc_norm\": 0.6943396226415094,\n \"acc_norm_stderr\": 0.028353298073322666\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7569444444444444,\n\
\ \"acc_stderr\": 0.03586879280080341,\n \"acc_norm\": 0.7569444444444444,\n\
\ \"acc_norm_stderr\": 0.03586879280080341\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.45,\n \"\
acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6127167630057804,\n\
\ \"acc_stderr\": 0.03714325906302065,\n \"acc_norm\": 0.6127167630057804,\n\
\ \"acc_norm_stderr\": 0.03714325906302065\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082635,\n\
\ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082635\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.77,\n \"acc_stderr\": 0.042295258468165065,\n \"acc_norm\": 0.77,\n\
\ \"acc_norm_stderr\": 0.042295258468165065\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5659574468085107,\n \"acc_stderr\": 0.03240038086792747,\n\
\ \"acc_norm\": 0.5659574468085107,\n \"acc_norm_stderr\": 0.03240038086792747\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.47368421052631576,\n\
\ \"acc_stderr\": 0.04697085136647863,\n \"acc_norm\": 0.47368421052631576,\n\
\ \"acc_norm_stderr\": 0.04697085136647863\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5103448275862069,\n \"acc_stderr\": 0.04165774775728762,\n\
\ \"acc_norm\": 0.5103448275862069,\n \"acc_norm_stderr\": 0.04165774775728762\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.42592592592592593,\n \"acc_stderr\": 0.02546714904546955,\n \"\
acc_norm\": 0.42592592592592593,\n \"acc_norm_stderr\": 0.02546714904546955\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.46825396825396826,\n\
\ \"acc_stderr\": 0.04463112720677172,\n \"acc_norm\": 0.46825396825396826,\n\
\ \"acc_norm_stderr\": 0.04463112720677172\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.7774193548387097,\n \"acc_stderr\": 0.023664216671642507,\n \"\
acc_norm\": 0.7774193548387097,\n \"acc_norm_stderr\": 0.023664216671642507\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n \"\
acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.65,\n \"acc_stderr\": 0.047937248544110196,\n \"acc_norm\"\
: 0.65,\n \"acc_norm_stderr\": 0.047937248544110196\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7878787878787878,\n \"acc_stderr\": 0.03192271569548301,\n\
\ \"acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.03192271569548301\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586815,\n \"\
acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586815\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8860103626943006,\n \"acc_stderr\": 0.022935144053919436,\n\
\ \"acc_norm\": 0.8860103626943006,\n \"acc_norm_stderr\": 0.022935144053919436\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6051282051282051,\n \"acc_stderr\": 0.0247843169421564,\n \
\ \"acc_norm\": 0.6051282051282051,\n \"acc_norm_stderr\": 0.0247843169421564\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.28888888888888886,\n \"acc_stderr\": 0.027634907264178544,\n \
\ \"acc_norm\": 0.28888888888888886,\n \"acc_norm_stderr\": 0.027634907264178544\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6596638655462185,\n \"acc_stderr\": 0.03077805742293167,\n \
\ \"acc_norm\": 0.6596638655462185,\n \"acc_norm_stderr\": 0.03077805742293167\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\
acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8348623853211009,\n \"acc_stderr\": 0.015919557829976037,\n \"\
acc_norm\": 0.8348623853211009,\n \"acc_norm_stderr\": 0.015919557829976037\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5231481481481481,\n \"acc_stderr\": 0.03406315360711507,\n \"\
acc_norm\": 0.5231481481481481,\n \"acc_norm_stderr\": 0.03406315360711507\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.7892156862745098,\n \"acc_stderr\": 0.028626547912437413,\n \"\
acc_norm\": 0.7892156862745098,\n \"acc_norm_stderr\": 0.028626547912437413\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.810126582278481,\n \"acc_stderr\": 0.02553010046023349,\n \
\ \"acc_norm\": 0.810126582278481,\n \"acc_norm_stderr\": 0.02553010046023349\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7040358744394619,\n\
\ \"acc_stderr\": 0.030636591348699796,\n \"acc_norm\": 0.7040358744394619,\n\
\ \"acc_norm_stderr\": 0.030636591348699796\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.035477710041594654,\n\
\ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.035477710041594654\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\
: 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\n },\n\
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7962962962962963,\n\
\ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\
\ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7975460122699386,\n \"acc_stderr\": 0.031570650789119005,\n\
\ \"acc_norm\": 0.7975460122699386,\n \"acc_norm_stderr\": 0.031570650789119005\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.49107142857142855,\n\
\ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.49107142857142855,\n\
\ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\
\ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8632478632478633,\n\
\ \"acc_stderr\": 0.02250903393707781,\n \"acc_norm\": 0.8632478632478633,\n\
\ \"acc_norm_stderr\": 0.02250903393707781\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \
\ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.822477650063857,\n\
\ \"acc_stderr\": 0.013664230995834834,\n \"acc_norm\": 0.822477650063857,\n\
\ \"acc_norm_stderr\": 0.013664230995834834\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7196531791907514,\n \"acc_stderr\": 0.02418242749657761,\n\
\ \"acc_norm\": 0.7196531791907514,\n \"acc_norm_stderr\": 0.02418242749657761\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3128491620111732,\n\
\ \"acc_stderr\": 0.01550689259464726,\n \"acc_norm\": 0.3128491620111732,\n\
\ \"acc_norm_stderr\": 0.01550689259464726\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7516339869281046,\n \"acc_stderr\": 0.02473998135511359,\n\
\ \"acc_norm\": 0.7516339869281046,\n \"acc_norm_stderr\": 0.02473998135511359\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6784565916398714,\n\
\ \"acc_stderr\": 0.026527724079528872,\n \"acc_norm\": 0.6784565916398714,\n\
\ \"acc_norm_stderr\": 0.026527724079528872\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7469135802469136,\n \"acc_stderr\": 0.024191808600713,\n\
\ \"acc_norm\": 0.7469135802469136,\n \"acc_norm_stderr\": 0.024191808600713\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.5106382978723404,\n \"acc_stderr\": 0.02982074719142244,\n \
\ \"acc_norm\": 0.5106382978723404,\n \"acc_norm_stderr\": 0.02982074719142244\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.46740547588005216,\n\
\ \"acc_stderr\": 0.012743072942653342,\n \"acc_norm\": 0.46740547588005216,\n\
\ \"acc_norm_stderr\": 0.012743072942653342\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6727941176470589,\n \"acc_stderr\": 0.028501452860396546,\n\
\ \"acc_norm\": 0.6727941176470589,\n \"acc_norm_stderr\": 0.028501452860396546\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6666666666666666,\n \"acc_stderr\": 0.019070985589687492,\n \
\ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.019070985589687492\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n\
\ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\
\ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.028123429335142773,\n\
\ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.028123429335142773\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8159203980099502,\n\
\ \"acc_stderr\": 0.027403859410786855,\n \"acc_norm\": 0.8159203980099502,\n\
\ \"acc_norm_stderr\": 0.027403859410786855\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \
\ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\
\ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\
\ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\
\ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3769889840881273,\n\
\ \"mc1_stderr\": 0.01696551757893035,\n \"mc2\": 0.5492935605551788,\n\
\ \"mc2_stderr\": 0.015342233606445274\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7829518547750592,\n \"acc_stderr\": 0.01158587171020941\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6133434420015162,\n \
\ \"acc_stderr\": 0.013413955095965309\n }\n}\n```"
repo_url: https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-51-15.903375.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-51-15.903375.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- '**/details_harness|winogrande|5_2023-12-04T11-51-15.903375.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T11-51-15.903375.parquet'
- config_name: results
data_files:
- split: 2023_12_04T11_51_15.903375
path:
- results_2023-12-04T11-51-15.903375.parquet
- split: latest
path:
- results_2023-12-04T11-51-15.903375.parquet
---
# Dataset Card for Evaluation run of mlabonne/NeuralHermes-2.5-Mistral-7B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_mlabonne__NeuralHermes-2.5-Mistral-7B",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T11:51:15.903375](https://huggingface.co/datasets/open-llm-leaderboard/details_mlabonne__NeuralHermes-2.5-Mistral-7B/blob/main/results_2023-12-04T11-51-15.903375.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.6355941629435156,
"acc_stderr": 0.03230794527671688,
"acc_norm": 0.637383178314279,
"acc_norm_stderr": 0.03295364147633226,
"mc1": 0.3769889840881273,
"mc1_stderr": 0.01696551757893035,
"mc2": 0.5492935605551788,
"mc2_stderr": 0.015342233606445274
},
"harness|arc:challenge|25": {
"acc": 0.6245733788395904,
"acc_stderr": 0.014150631435111726,
"acc_norm": 0.6655290102389079,
"acc_norm_stderr": 0.013787460322441374
},
"harness|hellaswag|10": {
"acc": 0.6593308105954989,
"acc_stderr": 0.004729656826803945,
"acc_norm": 0.8490340569607648,
"acc_norm_stderr": 0.003572839969521997
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.32,
"acc_stderr": 0.04688261722621503,
"acc_norm": 0.32,
"acc_norm_stderr": 0.04688261722621503
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.5851851851851851,
"acc_stderr": 0.04256193767901408,
"acc_norm": 0.5851851851851851,
"acc_norm_stderr": 0.04256193767901408
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6973684210526315,
"acc_stderr": 0.037385206761196686,
"acc_norm": 0.6973684210526315,
"acc_norm_stderr": 0.037385206761196686
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.56,
"acc_stderr": 0.04988876515698589,
"acc_norm": 0.56,
"acc_norm_stderr": 0.04988876515698589
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6943396226415094,
"acc_stderr": 0.028353298073322666,
"acc_norm": 0.6943396226415094,
"acc_norm_stderr": 0.028353298073322666
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7569444444444444,
"acc_stderr": 0.03586879280080341,
"acc_norm": 0.7569444444444444,
"acc_norm_stderr": 0.03586879280080341
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.49,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.49,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.45,
"acc_stderr": 0.05,
"acc_norm": 0.45,
"acc_norm_stderr": 0.05
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.27,
"acc_stderr": 0.044619604333847394,
"acc_norm": 0.27,
"acc_norm_stderr": 0.044619604333847394
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6127167630057804,
"acc_stderr": 0.03714325906302065,
"acc_norm": 0.6127167630057804,
"acc_norm_stderr": 0.03714325906302065
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.37254901960784315,
"acc_stderr": 0.04810840148082635,
"acc_norm": 0.37254901960784315,
"acc_norm_stderr": 0.04810840148082635
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.77,
"acc_stderr": 0.042295258468165065,
"acc_norm": 0.77,
"acc_norm_stderr": 0.042295258468165065
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5659574468085107,
"acc_stderr": 0.03240038086792747,
"acc_norm": 0.5659574468085107,
"acc_norm_stderr": 0.03240038086792747
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.47368421052631576,
"acc_stderr": 0.04697085136647863,
"acc_norm": 0.47368421052631576,
"acc_norm_stderr": 0.04697085136647863
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5103448275862069,
"acc_stderr": 0.04165774775728762,
"acc_norm": 0.5103448275862069,
"acc_norm_stderr": 0.04165774775728762
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.42592592592592593,
"acc_stderr": 0.02546714904546955,
"acc_norm": 0.42592592592592593,
"acc_norm_stderr": 0.02546714904546955
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.46825396825396826,
"acc_stderr": 0.04463112720677172,
"acc_norm": 0.46825396825396826,
"acc_norm_stderr": 0.04463112720677172
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.35,
"acc_stderr": 0.047937248544110196,
"acc_norm": 0.35,
"acc_norm_stderr": 0.047937248544110196
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7774193548387097,
"acc_stderr": 0.023664216671642507,
"acc_norm": 0.7774193548387097,
"acc_norm_stderr": 0.023664216671642507
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.5172413793103449,
"acc_stderr": 0.035158955511656986,
"acc_norm": 0.5172413793103449,
"acc_norm_stderr": 0.035158955511656986
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.65,
"acc_stderr": 0.047937248544110196,
"acc_norm": 0.65,
"acc_norm_stderr": 0.047937248544110196
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7878787878787878,
"acc_stderr": 0.03192271569548301,
"acc_norm": 0.7878787878787878,
"acc_norm_stderr": 0.03192271569548301
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7878787878787878,
"acc_stderr": 0.029126522834586815,
"acc_norm": 0.7878787878787878,
"acc_norm_stderr": 0.029126522834586815
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.8860103626943006,
"acc_stderr": 0.022935144053919436,
"acc_norm": 0.8860103626943006,
"acc_norm_stderr": 0.022935144053919436
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.6051282051282051,
"acc_stderr": 0.0247843169421564,
"acc_norm": 0.6051282051282051,
"acc_norm_stderr": 0.0247843169421564
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.28888888888888886,
"acc_stderr": 0.027634907264178544,
"acc_norm": 0.28888888888888886,
"acc_norm_stderr": 0.027634907264178544
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6596638655462185,
"acc_stderr": 0.03077805742293167,
"acc_norm": 0.6596638655462185,
"acc_norm_stderr": 0.03077805742293167
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.3443708609271523,
"acc_stderr": 0.038796870240733264,
"acc_norm": 0.3443708609271523,
"acc_norm_stderr": 0.038796870240733264
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8348623853211009,
"acc_stderr": 0.015919557829976037,
"acc_norm": 0.8348623853211009,
"acc_norm_stderr": 0.015919557829976037
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.5231481481481481,
"acc_stderr": 0.03406315360711507,
"acc_norm": 0.5231481481481481,
"acc_norm_stderr": 0.03406315360711507
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.7892156862745098,
"acc_stderr": 0.028626547912437413,
"acc_norm": 0.7892156862745098,
"acc_norm_stderr": 0.028626547912437413
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.810126582278481,
"acc_stderr": 0.02553010046023349,
"acc_norm": 0.810126582278481,
"acc_norm_stderr": 0.02553010046023349
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.7040358744394619,
"acc_stderr": 0.030636591348699796,
"acc_norm": 0.7040358744394619,
"acc_norm_stderr": 0.030636591348699796
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.7938931297709924,
"acc_stderr": 0.035477710041594654,
"acc_norm": 0.7938931297709924,
"acc_norm_stderr": 0.035477710041594654
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.768595041322314,
"acc_stderr": 0.03849856098794088,
"acc_norm": 0.768595041322314,
"acc_norm_stderr": 0.03849856098794088
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7962962962962963,
"acc_stderr": 0.03893542518824847,
"acc_norm": 0.7962962962962963,
"acc_norm_stderr": 0.03893542518824847
},
"harness|hendrycksTest-logical_fallacies|5": {
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```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
hkust-nlp/deita-images | hkust-nlp | 2023-12-04T11:57:48Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T11:56:21Z | ---
license: apache-2.0
---
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|
lingkoai/test | lingkoai | 2023-12-04T12:09:34Z | 0 | 0 | [
"art",
"region:us"
]
| null | 2023-12-04T11:57:48Z | ---
tags:
- art
pretty_name: lingko
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|
open-llm-leaderboard/details_Minirecord__Mini_DPO_test02 | open-llm-leaderboard | 2023-12-04T11:59:49Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T11:59:06Z | ---
pretty_name: Evaluation run of Minirecord/Mini_DPO_test02
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Minirecord/Mini_DPO_test02](https://huggingface.co/Minirecord/Mini_DPO_test02)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Minirecord__Mini_DPO_test02\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T11:56:14.353700](https://huggingface.co/datasets/open-llm-leaderboard/details_Minirecord__Mini_DPO_test02/blob/main/results_2023-12-04T11-56-14.353700.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6168729607530143,\n\
\ \"acc_stderr\": 0.03275935687592929,\n \"acc_norm\": 0.6223546289993482,\n\
\ \"acc_norm_stderr\": 0.033429838036267936,\n \"mc1\": 0.31946144430844553,\n\
\ \"mc1_stderr\": 0.016322644182960498,\n \"mc2\": 0.48469236116826936,\n\
\ \"mc2_stderr\": 0.014679613330954367\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5699658703071673,\n \"acc_stderr\": 0.014467631559137994,\n\
\ \"acc_norm\": 0.5972696245733788,\n \"acc_norm_stderr\": 0.01433223630679014\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6425014937263493,\n\
\ \"acc_stderr\": 0.00478283835222253,\n \"acc_norm\": 0.8388767177853017,\n\
\ \"acc_norm_stderr\": 0.0036689326296725643\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\
\ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\
\ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6513157894736842,\n \"acc_stderr\": 0.0387813988879761,\n\
\ \"acc_norm\": 0.6513157894736842,\n \"acc_norm_stderr\": 0.0387813988879761\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\
\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \
\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.028637235639800886,\n\
\ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.028637235639800886\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6875,\n\
\ \"acc_stderr\": 0.038760854559127644,\n \"acc_norm\": 0.6875,\n\
\ \"acc_norm_stderr\": 0.038760854559127644\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \
\ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\
: 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6127167630057804,\n\
\ \"acc_stderr\": 0.03714325906302065,\n \"acc_norm\": 0.6127167630057804,\n\
\ \"acc_norm_stderr\": 0.03714325906302065\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.3235294117647059,\n \"acc_stderr\": 0.04655010411319616,\n\
\ \"acc_norm\": 0.3235294117647059,\n \"acc_norm_stderr\": 0.04655010411319616\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\
\ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5574468085106383,\n \"acc_stderr\": 0.032469569197899575,\n\
\ \"acc_norm\": 0.5574468085106383,\n \"acc_norm_stderr\": 0.032469569197899575\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5087719298245614,\n\
\ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.5087719298245614,\n\
\ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n\
\ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.3835978835978836,\n \"acc_stderr\": 0.0250437573185202,\n \"acc_norm\"\
: 0.3835978835978836,\n \"acc_norm_stderr\": 0.0250437573185202\n },\n\
\ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.373015873015873,\n\
\ \"acc_stderr\": 0.04325506042017086,\n \"acc_norm\": 0.373015873015873,\n\
\ \"acc_norm_stderr\": 0.04325506042017086\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.45,\n \"acc_stderr\": 0.049999999999999996,\n \
\ \"acc_norm\": 0.45,\n \"acc_norm_stderr\": 0.049999999999999996\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.7129032258064516,\n \"acc_stderr\": 0.025736542745594528,\n \"\
acc_norm\": 0.7129032258064516,\n \"acc_norm_stderr\": 0.025736542745594528\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.4876847290640394,\n \"acc_stderr\": 0.035169204442208966,\n \"\
acc_norm\": 0.4876847290640394,\n \"acc_norm_stderr\": 0.035169204442208966\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\"\
: 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7333333333333333,\n \"acc_stderr\": 0.03453131801885417,\n\
\ \"acc_norm\": 0.7333333333333333,\n \"acc_norm_stderr\": 0.03453131801885417\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7777777777777778,\n \"acc_stderr\": 0.029620227874790482,\n \"\
acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.029620227874790482\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8704663212435233,\n \"acc_stderr\": 0.02423353229775873,\n\
\ \"acc_norm\": 0.8704663212435233,\n \"acc_norm_stderr\": 0.02423353229775873\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6230769230769231,\n \"acc_stderr\": 0.024570975364225995,\n\
\ \"acc_norm\": 0.6230769230769231,\n \"acc_norm_stderr\": 0.024570975364225995\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3148148148148148,\n \"acc_stderr\": 0.028317533496066468,\n \
\ \"acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.028317533496066468\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6218487394957983,\n \"acc_stderr\": 0.03149930577784906,\n \
\ \"acc_norm\": 0.6218487394957983,\n \"acc_norm_stderr\": 0.03149930577784906\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\
acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8055045871559633,\n \"acc_stderr\": 0.01697028909045804,\n \"\
acc_norm\": 0.8055045871559633,\n \"acc_norm_stderr\": 0.01697028909045804\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.44907407407407407,\n \"acc_stderr\": 0.03392238405321617,\n \"\
acc_norm\": 0.44907407407407407,\n \"acc_norm_stderr\": 0.03392238405321617\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.7892156862745098,\n \"acc_stderr\": 0.028626547912437406,\n \"\
acc_norm\": 0.7892156862745098,\n \"acc_norm_stderr\": 0.028626547912437406\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.759493670886076,\n \"acc_stderr\": 0.02782078198114968,\n \
\ \"acc_norm\": 0.759493670886076,\n \"acc_norm_stderr\": 0.02782078198114968\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6771300448430493,\n\
\ \"acc_stderr\": 0.03138147637575499,\n \"acc_norm\": 0.6771300448430493,\n\
\ \"acc_norm_stderr\": 0.03138147637575499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7404580152671756,\n \"acc_stderr\": 0.038448761397852714,\n\
\ \"acc_norm\": 0.7404580152671756,\n \"acc_norm_stderr\": 0.038448761397852714\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228732,\n \"\
acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228732\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7592592592592593,\n\
\ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.7592592592592593,\n\
\ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\
\ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5089285714285714,\n\
\ \"acc_stderr\": 0.04745033255489122,\n \"acc_norm\": 0.5089285714285714,\n\
\ \"acc_norm_stderr\": 0.04745033255489122\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\
\ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8504273504273504,\n\
\ \"acc_stderr\": 0.023365051491753715,\n \"acc_norm\": 0.8504273504273504,\n\
\ \"acc_norm_stderr\": 0.023365051491753715\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.67,\n \"acc_stderr\": 0.047258156262526094,\n \
\ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.047258156262526094\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8084291187739464,\n\
\ \"acc_stderr\": 0.014072859310451949,\n \"acc_norm\": 0.8084291187739464,\n\
\ \"acc_norm_stderr\": 0.014072859310451949\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6763005780346821,\n \"acc_stderr\": 0.025190181327608405,\n\
\ \"acc_norm\": 0.6763005780346821,\n \"acc_norm_stderr\": 0.025190181327608405\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2737430167597765,\n\
\ \"acc_stderr\": 0.014912413096372434,\n \"acc_norm\": 0.2737430167597765,\n\
\ \"acc_norm_stderr\": 0.014912413096372434\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6895424836601307,\n \"acc_stderr\": 0.026493033225145898,\n\
\ \"acc_norm\": 0.6895424836601307,\n \"acc_norm_stderr\": 0.026493033225145898\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6945337620578779,\n\
\ \"acc_stderr\": 0.026160584450140446,\n \"acc_norm\": 0.6945337620578779,\n\
\ \"acc_norm_stderr\": 0.026160584450140446\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7160493827160493,\n \"acc_stderr\": 0.025089478523765127,\n\
\ \"acc_norm\": 0.7160493827160493,\n \"acc_norm_stderr\": 0.025089478523765127\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.43617021276595747,\n \"acc_stderr\": 0.02958345203628407,\n \
\ \"acc_norm\": 0.43617021276595747,\n \"acc_norm_stderr\": 0.02958345203628407\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.44784876140808344,\n\
\ \"acc_stderr\": 0.012700582404768221,\n \"acc_norm\": 0.44784876140808344,\n\
\ \"acc_norm_stderr\": 0.012700582404768221\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6397058823529411,\n \"acc_stderr\": 0.02916312857067073,\n\
\ \"acc_norm\": 0.6397058823529411,\n \"acc_norm_stderr\": 0.02916312857067073\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.630718954248366,\n \"acc_stderr\": 0.019524316744866353,\n \
\ \"acc_norm\": 0.630718954248366,\n \"acc_norm_stderr\": 0.019524316744866353\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6272727272727273,\n\
\ \"acc_stderr\": 0.04631381319425465,\n \"acc_norm\": 0.6272727272727273,\n\
\ \"acc_norm_stderr\": 0.04631381319425465\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.028666857790274648,\n\
\ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.028666857790274648\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\
\ \"acc_stderr\": 0.026193923544454132,\n \"acc_norm\": 0.835820895522388,\n\
\ \"acc_norm_stderr\": 0.026193923544454132\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \
\ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.03775251680686371\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5120481927710844,\n\
\ \"acc_stderr\": 0.03891364495835817,\n \"acc_norm\": 0.5120481927710844,\n\
\ \"acc_norm_stderr\": 0.03891364495835817\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.02954774168764004,\n\
\ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.02954774168764004\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.31946144430844553,\n\
\ \"mc1_stderr\": 0.016322644182960498,\n \"mc2\": 0.48469236116826936,\n\
\ \"mc2_stderr\": 0.014679613330954367\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7837411207576953,\n \"acc_stderr\": 0.01157061486140935\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3502653525398029,\n \
\ \"acc_stderr\": 0.013140409455571276\n }\n}\n```"
repo_url: https://huggingface.co/Minirecord/Mini_DPO_test02
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-56-14.353700.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-56-14.353700.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- '**/details_harness|winogrande|5_2023-12-04T11-56-14.353700.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T11-56-14.353700.parquet'
- config_name: results
data_files:
- split: 2023_12_04T11_56_14.353700
path:
- results_2023-12-04T11-56-14.353700.parquet
- split: latest
path:
- results_2023-12-04T11-56-14.353700.parquet
---
# Dataset Card for Evaluation run of Minirecord/Mini_DPO_test02
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Minirecord/Mini_DPO_test02
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Minirecord/Mini_DPO_test02](https://huggingface.co/Minirecord/Mini_DPO_test02) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Minirecord__Mini_DPO_test02",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T11:56:14.353700](https://huggingface.co/datasets/open-llm-leaderboard/details_Minirecord__Mini_DPO_test02/blob/main/results_2023-12-04T11-56-14.353700.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.6168729607530143,
"acc_stderr": 0.03275935687592929,
"acc_norm": 0.6223546289993482,
"acc_norm_stderr": 0.033429838036267936,
"mc1": 0.31946144430844553,
"mc1_stderr": 0.016322644182960498,
"mc2": 0.48469236116826936,
"mc2_stderr": 0.014679613330954367
},
"harness|arc:challenge|25": {
"acc": 0.5699658703071673,
"acc_stderr": 0.014467631559137994,
"acc_norm": 0.5972696245733788,
"acc_norm_stderr": 0.01433223630679014
},
"harness|hellaswag|10": {
"acc": 0.6425014937263493,
"acc_stderr": 0.00478283835222253,
"acc_norm": 0.8388767177853017,
"acc_norm_stderr": 0.0036689326296725643
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252605,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252605
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.6074074074074074,
"acc_stderr": 0.0421850621536888,
"acc_norm": 0.6074074074074074,
"acc_norm_stderr": 0.0421850621536888
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6513157894736842,
"acc_stderr": 0.0387813988879761,
"acc_norm": 0.6513157894736842,
"acc_norm_stderr": 0.0387813988879761
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.57,
"acc_stderr": 0.049756985195624284,
"acc_norm": 0.57,
"acc_norm_stderr": 0.049756985195624284
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6830188679245283,
"acc_stderr": 0.028637235639800886,
"acc_norm": 0.6830188679245283,
"acc_norm_stderr": 0.028637235639800886
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.6875,
"acc_stderr": 0.038760854559127644,
"acc_norm": 0.6875,
"acc_norm_stderr": 0.038760854559127644
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.42,
"acc_stderr": 0.049604496374885836,
"acc_norm": 0.42,
"acc_norm_stderr": 0.049604496374885836
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.54,
"acc_stderr": 0.05009082659620333,
"acc_norm": 0.54,
"acc_norm_stderr": 0.05009082659620333
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.35,
"acc_stderr": 0.047937248544110196,
"acc_norm": 0.35,
"acc_norm_stderr": 0.047937248544110196
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6127167630057804,
"acc_stderr": 0.03714325906302065,
"acc_norm": 0.6127167630057804,
"acc_norm_stderr": 0.03714325906302065
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.3235294117647059,
"acc_stderr": 0.04655010411319616,
"acc_norm": 0.3235294117647059,
"acc_norm_stderr": 0.04655010411319616
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.79,
"acc_stderr": 0.04093601807403326,
"acc_norm": 0.79,
"acc_norm_stderr": 0.04093601807403326
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5574468085106383,
"acc_stderr": 0.032469569197899575,
"acc_norm": 0.5574468085106383,
"acc_norm_stderr": 0.032469569197899575
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.5087719298245614,
"acc_stderr": 0.04702880432049615,
"acc_norm": 0.5087719298245614,
"acc_norm_stderr": 0.04702880432049615
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5586206896551724,
"acc_stderr": 0.04137931034482757,
"acc_norm": 0.5586206896551724,
"acc_norm_stderr": 0.04137931034482757
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.3835978835978836,
"acc_stderr": 0.0250437573185202,
"acc_norm": 0.3835978835978836,
"acc_norm_stderr": 0.0250437573185202
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.373015873015873,
"acc_stderr": 0.04325506042017086,
"acc_norm": 0.373015873015873,
"acc_norm_stderr": 0.04325506042017086
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.45,
"acc_stderr": 0.049999999999999996,
"acc_norm": 0.45,
"acc_norm_stderr": 0.049999999999999996
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7129032258064516,
"acc_stderr": 0.025736542745594528,
"acc_norm": 0.7129032258064516,
"acc_norm_stderr": 0.025736542745594528
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.4876847290640394,
"acc_stderr": 0.035169204442208966,
"acc_norm": 0.4876847290640394,
"acc_norm_stderr": 0.035169204442208966
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.72,
"acc_stderr": 0.04512608598542127,
"acc_norm": 0.72,
"acc_norm_stderr": 0.04512608598542127
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7333333333333333,
"acc_stderr": 0.03453131801885417,
"acc_norm": 0.7333333333333333,
"acc_norm_stderr": 0.03453131801885417
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7777777777777778,
"acc_stderr": 0.029620227874790482,
"acc_norm": 0.7777777777777778,
"acc_norm_stderr": 0.029620227874790482
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.8704663212435233,
"acc_stderr": 0.02423353229775873,
"acc_norm": 0.8704663212435233,
"acc_norm_stderr": 0.02423353229775873
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.6230769230769231,
"acc_stderr": 0.024570975364225995,
"acc_norm": 0.6230769230769231,
"acc_norm_stderr": 0.024570975364225995
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3148148148148148,
"acc_stderr": 0.028317533496066468,
"acc_norm": 0.3148148148148148,
"acc_norm_stderr": 0.028317533496066468
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6218487394957983,
"acc_stderr": 0.03149930577784906,
"acc_norm": 0.6218487394957983,
"acc_norm_stderr": 0.03149930577784906
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.3443708609271523,
"acc_stderr": 0.038796870240733264,
"acc_norm": 0.3443708609271523,
"acc_norm_stderr": 0.038796870240733264
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8055045871559633,
"acc_stderr": 0.01697028909045804,
"acc_norm": 0.8055045871559633,
"acc_norm_stderr": 0.01697028909045804
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.44907407407407407,
"acc_stderr": 0.03392238405321617,
"acc_norm": 0.44907407407407407,
"acc_norm_stderr": 0.03392238405321617
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.7892156862745098,
"acc_stderr": 0.028626547912437406,
"acc_norm": 0.7892156862745098,
"acc_norm_stderr": 0.028626547912437406
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.759493670886076,
"acc_stderr": 0.02782078198114968,
"acc_norm": 0.759493670886076,
"acc_norm_stderr": 0.02782078198114968
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6771300448430493,
"acc_stderr": 0.03138147637575499,
"acc_norm": 0.6771300448430493,
"acc_norm_stderr": 0.03138147637575499
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.7404580152671756,
"acc_stderr": 0.038448761397852714,
"acc_norm": 0.7404580152671756,
"acc_norm_stderr": 0.038448761397852714
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.7768595041322314,
"acc_stderr": 0.03800754475228732,
"acc_norm": 0.7768595041322314,
"acc_norm_stderr": 0.03800754475228732
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7592592592592593,
"acc_stderr": 0.04133119440243838,
"acc_norm": 0.7592592592592593,
"acc_norm_stderr": 0.04133119440243838
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.7668711656441718,
"acc_stderr": 0.0332201579577674,
"acc_norm": 0.7668711656441718,
"acc_norm_stderr": 0.0332201579577674
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.5089285714285714,
"acc_stderr": 0.04745033255489122,
"acc_norm": 0.5089285714285714,
"acc_norm_stderr": 0.04745033255489122
},
"harness|hendrycksTest-management|5": {
"acc": 0.7669902912621359,
"acc_stderr": 0.04185832598928315,
"acc_norm": 0.7669902912621359,
"acc_norm_stderr": 0.04185832598928315
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8504273504273504,
"acc_stderr": 0.023365051491753715,
"acc_norm": 0.8504273504273504,
"acc_norm_stderr": 0.023365051491753715
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.67,
"acc_stderr": 0.047258156262526094,
"acc_norm": 0.67,
"acc_norm_stderr": 0.047258156262526094
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.8084291187739464,
"acc_stderr": 0.014072859310451949,
"acc_norm": 0.8084291187739464,
"acc_norm_stderr": 0.014072859310451949
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.6763005780346821,
"acc_stderr": 0.025190181327608405,
"acc_norm": 0.6763005780346821,
"acc_norm_stderr": 0.025190181327608405
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.2737430167597765,
"acc_stderr": 0.014912413096372434,
"acc_norm": 0.2737430167597765,
"acc_norm_stderr": 0.014912413096372434
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.6895424836601307,
"acc_stderr": 0.026493033225145898,
"acc_norm": 0.6895424836601307,
"acc_norm_stderr": 0.026493033225145898
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.6945337620578779,
"acc_stderr": 0.026160584450140446,
"acc_norm": 0.6945337620578779,
"acc_norm_stderr": 0.026160584450140446
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.7160493827160493,
"acc_stderr": 0.025089478523765127,
"acc_norm": 0.7160493827160493,
"acc_norm_stderr": 0.025089478523765127
},
"harness|hendrycksTest-professional_accounting|5": {
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_KoboldAI__LLaMA2-13B-Psyfighter2 | open-llm-leaderboard | 2023-12-04T12:01:02Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T12:00:19Z | ---
pretty_name: Evaluation run of KoboldAI/LLaMA2-13B-Psyfighter2
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [KoboldAI/LLaMA2-13B-Psyfighter2](https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_KoboldAI__LLaMA2-13B-Psyfighter2\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T11:57:24.228849](https://huggingface.co/datasets/open-llm-leaderboard/details_KoboldAI__LLaMA2-13B-Psyfighter2/blob/main/results_2023-12-04T11-57-24.228849.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5470210161245963,\n\
\ \"acc_stderr\": 0.033586335697642675,\n \"acc_norm\": 0.5564143725807108,\n\
\ \"acc_norm_stderr\": 0.03444006583011199,\n \"mc1\": 0.3769889840881273,\n\
\ \"mc1_stderr\": 0.016965517578930354,\n \"mc2\": 0.5299552830341843,\n\
\ \"mc2_stderr\": 0.01569290592260198\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5725255972696246,\n \"acc_stderr\": 0.014456862944650649,\n\
\ \"acc_norm\": 0.6006825938566553,\n \"acc_norm_stderr\": 0.014312094557946707\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6502688707428799,\n\
\ \"acc_stderr\": 0.004759103432380757,\n \"acc_norm\": 0.8401712806213901,\n\
\ \"acc_norm_stderr\": 0.0036569821653861826\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621503,\n \
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621503\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4888888888888889,\n\
\ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.4888888888888889,\n\
\ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.5723684210526315,\n \"acc_stderr\": 0.040260970832965634,\n\
\ \"acc_norm\": 0.5723684210526315,\n \"acc_norm_stderr\": 0.040260970832965634\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.54,\n\
\ \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n \
\ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.5962264150943396,\n \"acc_stderr\": 0.03019761160019795,\n\
\ \"acc_norm\": 0.5962264150943396,\n \"acc_norm_stderr\": 0.03019761160019795\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5972222222222222,\n\
\ \"acc_stderr\": 0.04101405519842426,\n \"acc_norm\": 0.5972222222222222,\n\
\ \"acc_norm_stderr\": 0.04101405519842426\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.41,\n\
\ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5375722543352601,\n\
\ \"acc_stderr\": 0.0380168510452446,\n \"acc_norm\": 0.5375722543352601,\n\
\ \"acc_norm_stderr\": 0.0380168510452446\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.30392156862745096,\n \"acc_stderr\": 0.04576665403207762,\n\
\ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.04576665403207762\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.66,\n \"acc_stderr\": 0.04760952285695238,\n \"acc_norm\": 0.66,\n\
\ \"acc_norm_stderr\": 0.04760952285695238\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.46808510638297873,\n \"acc_stderr\": 0.03261936918467382,\n\
\ \"acc_norm\": 0.46808510638297873,\n \"acc_norm_stderr\": 0.03261936918467382\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.35964912280701755,\n\
\ \"acc_stderr\": 0.045144961328736334,\n \"acc_norm\": 0.35964912280701755,\n\
\ \"acc_norm_stderr\": 0.045144961328736334\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\
\ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.30158730158730157,\n \"acc_stderr\": 0.023636975996101813,\n \"\
acc_norm\": 0.30158730158730157,\n \"acc_norm_stderr\": 0.023636975996101813\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.29365079365079366,\n\
\ \"acc_stderr\": 0.04073524322147125,\n \"acc_norm\": 0.29365079365079366,\n\
\ \"acc_norm_stderr\": 0.04073524322147125\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6419354838709678,\n\
\ \"acc_stderr\": 0.027273890594300645,\n \"acc_norm\": 0.6419354838709678,\n\
\ \"acc_norm_stderr\": 0.027273890594300645\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.4236453201970443,\n \"acc_stderr\": 0.034767257476490364,\n\
\ \"acc_norm\": 0.4236453201970443,\n \"acc_norm_stderr\": 0.034767257476490364\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\
: 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.6787878787878788,\n \"acc_stderr\": 0.036462049632538115,\n\
\ \"acc_norm\": 0.6787878787878788,\n \"acc_norm_stderr\": 0.036462049632538115\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7070707070707071,\n \"acc_stderr\": 0.032424979581788166,\n \"\
acc_norm\": 0.7070707070707071,\n \"acc_norm_stderr\": 0.032424979581788166\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.7772020725388601,\n \"acc_stderr\": 0.03003114797764154,\n\
\ \"acc_norm\": 0.7772020725388601,\n \"acc_norm_stderr\": 0.03003114797764154\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.5051282051282051,\n \"acc_stderr\": 0.025349672906838653,\n\
\ \"acc_norm\": 0.5051282051282051,\n \"acc_norm_stderr\": 0.025349672906838653\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3,\n \"acc_stderr\": 0.0279404571362284,\n \"acc_norm\":\
\ 0.3,\n \"acc_norm_stderr\": 0.0279404571362284\n },\n \"harness|hendrycksTest-high_school_microeconomics|5\"\
: {\n \"acc\": 0.5546218487394958,\n \"acc_stderr\": 0.032284106267163895,\n\
\ \"acc_norm\": 0.5546218487394958,\n \"acc_norm_stderr\": 0.032284106267163895\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2847682119205298,\n \"acc_stderr\": 0.03684881521389023,\n \"\
acc_norm\": 0.2847682119205298,\n \"acc_norm_stderr\": 0.03684881521389023\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.7302752293577982,\n \"acc_stderr\": 0.019028486711115438,\n \"\
acc_norm\": 0.7302752293577982,\n \"acc_norm_stderr\": 0.019028486711115438\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.38425925925925924,\n \"acc_stderr\": 0.03317354514310742,\n \"\
acc_norm\": 0.38425925925925924,\n \"acc_norm_stderr\": 0.03317354514310742\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.75,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.75,\n\
\ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
: {\n \"acc\": 0.7468354430379747,\n \"acc_stderr\": 0.0283046579430353,\n\
\ \"acc_norm\": 0.7468354430379747,\n \"acc_norm_stderr\": 0.0283046579430353\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6681614349775785,\n\
\ \"acc_stderr\": 0.03160295143776678,\n \"acc_norm\": 0.6681614349775785,\n\
\ \"acc_norm_stderr\": 0.03160295143776678\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.6259541984732825,\n \"acc_stderr\": 0.042438692422305246,\n\
\ \"acc_norm\": 0.6259541984732825,\n \"acc_norm_stderr\": 0.042438692422305246\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\
: 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\n },\n\
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7222222222222222,\n\
\ \"acc_stderr\": 0.043300437496507416,\n \"acc_norm\": 0.7222222222222222,\n\
\ \"acc_norm_stderr\": 0.043300437496507416\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.656441717791411,\n \"acc_stderr\": 0.037311335196738925,\n\
\ \"acc_norm\": 0.656441717791411,\n \"acc_norm_stderr\": 0.037311335196738925\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.38392857142857145,\n\
\ \"acc_stderr\": 0.04616143075028547,\n \"acc_norm\": 0.38392857142857145,\n\
\ \"acc_norm_stderr\": 0.04616143075028547\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6796116504854369,\n \"acc_stderr\": 0.04620284082280041,\n\
\ \"acc_norm\": 0.6796116504854369,\n \"acc_norm_stderr\": 0.04620284082280041\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8205128205128205,\n\
\ \"acc_stderr\": 0.02514093595033544,\n \"acc_norm\": 0.8205128205128205,\n\
\ \"acc_norm_stderr\": 0.02514093595033544\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.52,\n \"acc_stderr\": 0.05021167315686779,\n \
\ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.05021167315686779\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7471264367816092,\n\
\ \"acc_stderr\": 0.015543377313719683,\n \"acc_norm\": 0.7471264367816092,\n\
\ \"acc_norm_stderr\": 0.015543377313719683\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6242774566473989,\n \"acc_stderr\": 0.026074314851657083,\n\
\ \"acc_norm\": 0.6242774566473989,\n \"acc_norm_stderr\": 0.026074314851657083\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.34301675977653634,\n\
\ \"acc_stderr\": 0.015876912673057738,\n \"acc_norm\": 0.34301675977653634,\n\
\ \"acc_norm_stderr\": 0.015876912673057738\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6209150326797386,\n \"acc_stderr\": 0.027780141207023344,\n\
\ \"acc_norm\": 0.6209150326797386,\n \"acc_norm_stderr\": 0.027780141207023344\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.617363344051447,\n\
\ \"acc_stderr\": 0.027604689028581986,\n \"acc_norm\": 0.617363344051447,\n\
\ \"acc_norm_stderr\": 0.027604689028581986\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6141975308641975,\n \"acc_stderr\": 0.027085401226132146,\n\
\ \"acc_norm\": 0.6141975308641975,\n \"acc_norm_stderr\": 0.027085401226132146\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.40425531914893614,\n \"acc_stderr\": 0.02927553215970473,\n \
\ \"acc_norm\": 0.40425531914893614,\n \"acc_norm_stderr\": 0.02927553215970473\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.42959582790091266,\n\
\ \"acc_stderr\": 0.012643004623790203,\n \"acc_norm\": 0.42959582790091266,\n\
\ \"acc_norm_stderr\": 0.012643004623790203\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.5183823529411765,\n \"acc_stderr\": 0.030352303395351964,\n\
\ \"acc_norm\": 0.5183823529411765,\n \"acc_norm_stderr\": 0.030352303395351964\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.5637254901960784,\n \"acc_stderr\": 0.02006287424353913,\n \
\ \"acc_norm\": 0.5637254901960784,\n \"acc_norm_stderr\": 0.02006287424353913\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\
\ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \
\ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.6326530612244898,\n \"acc_stderr\": 0.03086214492108756,\n\
\ \"acc_norm\": 0.6326530612244898,\n \"acc_norm_stderr\": 0.03086214492108756\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7263681592039801,\n\
\ \"acc_stderr\": 0.03152439186555401,\n \"acc_norm\": 0.7263681592039801,\n\
\ \"acc_norm_stderr\": 0.03152439186555401\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \
\ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.03775251680686371\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4819277108433735,\n\
\ \"acc_stderr\": 0.038899512528272166,\n \"acc_norm\": 0.4819277108433735,\n\
\ \"acc_norm_stderr\": 0.038899512528272166\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.783625730994152,\n \"acc_stderr\": 0.031581495393387324,\n\
\ \"acc_norm\": 0.783625730994152,\n \"acc_norm_stderr\": 0.031581495393387324\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3769889840881273,\n\
\ \"mc1_stderr\": 0.016965517578930354,\n \"mc2\": 0.5299552830341843,\n\
\ \"mc2_stderr\": 0.01569290592260198\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7434885556432518,\n \"acc_stderr\": 0.012273648008759987\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.014404852160727824,\n \
\ \"acc_stderr\": 0.003282055917136976\n }\n}\n```"
repo_url: https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-57-24.228849.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-57-24.228849.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- '**/details_harness|winogrande|5_2023-12-04T11-57-24.228849.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T11-57-24.228849.parquet'
- config_name: results
data_files:
- split: 2023_12_04T11_57_24.228849
path:
- results_2023-12-04T11-57-24.228849.parquet
- split: latest
path:
- results_2023-12-04T11-57-24.228849.parquet
---
# Dataset Card for Evaluation run of KoboldAI/LLaMA2-13B-Psyfighter2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [KoboldAI/LLaMA2-13B-Psyfighter2](https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_KoboldAI__LLaMA2-13B-Psyfighter2",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T11:57:24.228849](https://huggingface.co/datasets/open-llm-leaderboard/details_KoboldAI__LLaMA2-13B-Psyfighter2/blob/main/results_2023-12-04T11-57-24.228849.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.5470210161245963,
"acc_stderr": 0.033586335697642675,
"acc_norm": 0.5564143725807108,
"acc_norm_stderr": 0.03444006583011199,
"mc1": 0.3769889840881273,
"mc1_stderr": 0.016965517578930354,
"mc2": 0.5299552830341843,
"mc2_stderr": 0.01569290592260198
},
"harness|arc:challenge|25": {
"acc": 0.5725255972696246,
"acc_stderr": 0.014456862944650649,
"acc_norm": 0.6006825938566553,
"acc_norm_stderr": 0.014312094557946707
},
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```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_Medilora__medilora-qwen-14b | open-llm-leaderboard | 2023-12-04T12:01:56Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T12:01:12Z | ---
pretty_name: Evaluation run of Medilora/medilora-qwen-14b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Medilora/medilora-qwen-14b](https://huggingface.co/Medilora/medilora-qwen-14b)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Medilora__medilora-qwen-14b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T11:58:35.188155](https://huggingface.co/datasets/open-llm-leaderboard/details_Medilora__medilora-qwen-14b/blob/main/results_2023-12-04T11-58-35.188155.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6559355919072443,\n\
\ \"acc_stderr\": 0.03225211233928835,\n \"acc_norm\": 0.65931119421255,\n\
\ \"acc_norm_stderr\": 0.03289326762517802,\n \"mc1\": 0.3243574051407589,\n\
\ \"mc1_stderr\": 0.01638797677964794,\n \"mc2\": 0.4774778409132138,\n\
\ \"mc2_stderr\": 0.015634826376144897\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5307167235494881,\n \"acc_stderr\": 0.014583792546304037,\n\
\ \"acc_norm\": 0.5665529010238908,\n \"acc_norm_stderr\": 0.0144813762245589\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6042620991834295,\n\
\ \"acc_stderr\": 0.004880092083408044,\n \"acc_norm\": 0.7907787293367855,\n\
\ \"acc_norm_stderr\": 0.004059213774735545\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5925925925925926,\n\
\ \"acc_stderr\": 0.04244633238353228,\n \"acc_norm\": 0.5925925925925926,\n\
\ \"acc_norm_stderr\": 0.04244633238353228\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6644736842105263,\n \"acc_stderr\": 0.03842498559395268,\n\
\ \"acc_norm\": 0.6644736842105263,\n \"acc_norm_stderr\": 0.03842498559395268\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.68,\n\
\ \"acc_stderr\": 0.046882617226215034,\n \"acc_norm\": 0.68,\n \
\ \"acc_norm_stderr\": 0.046882617226215034\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.690566037735849,\n \"acc_stderr\": 0.028450154794118637,\n\
\ \"acc_norm\": 0.690566037735849,\n \"acc_norm_stderr\": 0.028450154794118637\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7916666666666666,\n\
\ \"acc_stderr\": 0.03396116205845334,\n \"acc_norm\": 0.7916666666666666,\n\
\ \"acc_norm_stderr\": 0.03396116205845334\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956911,\n \
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956911\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n\
\ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \
\ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6936416184971098,\n\
\ \"acc_stderr\": 0.035149425512674394,\n \"acc_norm\": 0.6936416184971098,\n\
\ \"acc_norm_stderr\": 0.035149425512674394\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\
\ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\
\ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.6,\n \"acc_stderr\": 0.03202563076101735,\n \
\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.03202563076101735\n },\n\
\ \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\n\
\ \"acc_stderr\": 0.047028804320496165,\n \"acc_norm\": 0.49122807017543857,\n\
\ \"acc_norm_stderr\": 0.047028804320496165\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.6,\n \"acc_stderr\": 0.040824829046386284,\n \
\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.040824829046386284\n \
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.5291005291005291,\n \"acc_stderr\": 0.025707658614154947,\n \"\
acc_norm\": 0.5291005291005291,\n \"acc_norm_stderr\": 0.025707658614154947\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5,\n\
\ \"acc_stderr\": 0.04472135954999579,\n \"acc_norm\": 0.5,\n \
\ \"acc_norm_stderr\": 0.04472135954999579\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \
\ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7677419354838709,\n\
\ \"acc_stderr\": 0.024022256130308235,\n \"acc_norm\": 0.7677419354838709,\n\
\ \"acc_norm_stderr\": 0.024022256130308235\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.5911330049261084,\n \"acc_stderr\": 0.03459058815883232,\n\
\ \"acc_norm\": 0.5911330049261084,\n \"acc_norm_stderr\": 0.03459058815883232\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.65,\n \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\"\
: 0.65,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\
\ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.8484848484848485,\n \"acc_stderr\": 0.025545650426603617,\n \"\
acc_norm\": 0.8484848484848485,\n \"acc_norm_stderr\": 0.025545650426603617\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8704663212435233,\n \"acc_stderr\": 0.02423353229775873,\n\
\ \"acc_norm\": 0.8704663212435233,\n \"acc_norm_stderr\": 0.02423353229775873\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.658974358974359,\n \"acc_stderr\": 0.024035489676335065,\n \
\ \"acc_norm\": 0.658974358974359,\n \"acc_norm_stderr\": 0.024035489676335065\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3851851851851852,\n \"acc_stderr\": 0.029670906124630886,\n \
\ \"acc_norm\": 0.3851851851851852,\n \"acc_norm_stderr\": 0.029670906124630886\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.7563025210084033,\n \"acc_stderr\": 0.027886828078380558,\n\
\ \"acc_norm\": 0.7563025210084033,\n \"acc_norm_stderr\": 0.027886828078380558\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\
acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8348623853211009,\n \"acc_stderr\": 0.015919557829976044,\n \"\
acc_norm\": 0.8348623853211009,\n \"acc_norm_stderr\": 0.015919557829976044\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.6064814814814815,\n \"acc_stderr\": 0.03331747876370312,\n \"\
acc_norm\": 0.6064814814814815,\n \"acc_norm_stderr\": 0.03331747876370312\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.803921568627451,\n \"acc_stderr\": 0.027865942286639325,\n \"\
acc_norm\": 0.803921568627451,\n \"acc_norm_stderr\": 0.027865942286639325\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601446,\n \
\ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601446\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7130044843049327,\n\
\ \"acc_stderr\": 0.03036037971029195,\n \"acc_norm\": 0.7130044843049327,\n\
\ \"acc_norm_stderr\": 0.03036037971029195\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7557251908396947,\n \"acc_stderr\": 0.03768335959728742,\n\
\ \"acc_norm\": 0.7557251908396947,\n \"acc_norm_stderr\": 0.03768335959728742\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\
acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7314814814814815,\n\
\ \"acc_stderr\": 0.042844679680521934,\n \"acc_norm\": 0.7314814814814815,\n\
\ \"acc_norm_stderr\": 0.042844679680521934\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7423312883435583,\n \"acc_stderr\": 0.03436150827846917,\n\
\ \"acc_norm\": 0.7423312883435583,\n \"acc_norm_stderr\": 0.03436150827846917\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5178571428571429,\n\
\ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.5178571428571429,\n\
\ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.039891398595317706,\n\
\ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.039891398595317706\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8760683760683761,\n\
\ \"acc_stderr\": 0.02158649400128137,\n \"acc_norm\": 0.8760683760683761,\n\
\ \"acc_norm_stderr\": 0.02158649400128137\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \
\ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8173690932311622,\n\
\ \"acc_stderr\": 0.01381633538997313,\n \"acc_norm\": 0.8173690932311622,\n\
\ \"acc_norm_stderr\": 0.01381633538997313\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7167630057803468,\n \"acc_stderr\": 0.02425790170532338,\n\
\ \"acc_norm\": 0.7167630057803468,\n \"acc_norm_stderr\": 0.02425790170532338\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.39106145251396646,\n\
\ \"acc_stderr\": 0.01632076376380838,\n \"acc_norm\": 0.39106145251396646,\n\
\ \"acc_norm_stderr\": 0.01632076376380838\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7124183006535948,\n \"acc_stderr\": 0.02591780611714716,\n\
\ \"acc_norm\": 0.7124183006535948,\n \"acc_norm_stderr\": 0.02591780611714716\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7202572347266881,\n\
\ \"acc_stderr\": 0.02549425935069491,\n \"acc_norm\": 0.7202572347266881,\n\
\ \"acc_norm_stderr\": 0.02549425935069491\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6851851851851852,\n \"acc_stderr\": 0.02584224870090217,\n\
\ \"acc_norm\": 0.6851851851851852,\n \"acc_norm_stderr\": 0.02584224870090217\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.5106382978723404,\n \"acc_stderr\": 0.02982074719142244,\n \
\ \"acc_norm\": 0.5106382978723404,\n \"acc_norm_stderr\": 0.02982074719142244\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5104302477183833,\n\
\ \"acc_stderr\": 0.012767457253930657,\n \"acc_norm\": 0.5104302477183833,\n\
\ \"acc_norm_stderr\": 0.012767457253930657\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6911764705882353,\n \"acc_stderr\": 0.028064998167040094,\n\
\ \"acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.028064998167040094\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6584967320261438,\n \"acc_stderr\": 0.019184639328092487,\n \
\ \"acc_norm\": 0.6584967320261438,\n \"acc_norm_stderr\": 0.019184639328092487\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n\
\ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\
\ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7591836734693878,\n \"acc_stderr\": 0.027372942201788163,\n\
\ \"acc_norm\": 0.7591836734693878,\n \"acc_norm_stderr\": 0.027372942201788163\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8955223880597015,\n\
\ \"acc_stderr\": 0.021628920516700637,\n \"acc_norm\": 0.8955223880597015,\n\
\ \"acc_norm_stderr\": 0.021628920516700637\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.88,\n \"acc_stderr\": 0.032659863237109066,\n \
\ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.032659863237109066\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5240963855421686,\n\
\ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\
\ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.030611116557432528,\n\
\ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.030611116557432528\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3243574051407589,\n\
\ \"mc1_stderr\": 0.01638797677964794,\n \"mc2\": 0.4774778409132138,\n\
\ \"mc2_stderr\": 0.015634826376144897\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7490134175217048,\n \"acc_stderr\": 0.012185776220516137\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5860500379075056,\n \
\ \"acc_stderr\": 0.013566991960151781\n }\n}\n```"
repo_url: https://huggingface.co/Medilora/medilora-qwen-14b
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-58-35.188155.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T11-58-35.188155.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- '**/details_harness|winogrande|5_2023-12-04T11-58-35.188155.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T11-58-35.188155.parquet'
- config_name: results
data_files:
- split: 2023_12_04T11_58_35.188155
path:
- results_2023-12-04T11-58-35.188155.parquet
- split: latest
path:
- results_2023-12-04T11-58-35.188155.parquet
---
# Dataset Card for Evaluation run of Medilora/medilora-qwen-14b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Medilora/medilora-qwen-14b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Medilora/medilora-qwen-14b](https://huggingface.co/Medilora/medilora-qwen-14b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Medilora__medilora-qwen-14b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T11:58:35.188155](https://huggingface.co/datasets/open-llm-leaderboard/details_Medilora__medilora-qwen-14b/blob/main/results_2023-12-04T11-58-35.188155.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.6559355919072443,
"acc_stderr": 0.03225211233928835,
"acc_norm": 0.65931119421255,
"acc_norm_stderr": 0.03289326762517802,
"mc1": 0.3243574051407589,
"mc1_stderr": 0.01638797677964794,
"mc2": 0.4774778409132138,
"mc2_stderr": 0.015634826376144897
},
"harness|arc:challenge|25": {
"acc": 0.5307167235494881,
"acc_stderr": 0.014583792546304037,
"acc_norm": 0.5665529010238908,
"acc_norm_stderr": 0.0144813762245589
},
"harness|hellaswag|10": {
"acc": 0.6042620991834295,
"acc_stderr": 0.004880092083408044,
"acc_norm": 0.7907787293367855,
"acc_norm_stderr": 0.004059213774735545
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.32,
"acc_stderr": 0.04688261722621504,
"acc_norm": 0.32,
"acc_norm_stderr": 0.04688261722621504
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.5925925925925926,
"acc_stderr": 0.04244633238353228,
"acc_norm": 0.5925925925925926,
"acc_norm_stderr": 0.04244633238353228
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6644736842105263,
"acc_stderr": 0.03842498559395268,
"acc_norm": 0.6644736842105263,
"acc_norm_stderr": 0.03842498559395268
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.68,
"acc_stderr": 0.046882617226215034,
"acc_norm": 0.68,
"acc_norm_stderr": 0.046882617226215034
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.690566037735849,
"acc_stderr": 0.028450154794118637,
"acc_norm": 0.690566037735849,
"acc_norm_stderr": 0.028450154794118637
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7916666666666666,
"acc_stderr": 0.03396116205845334,
"acc_norm": 0.7916666666666666,
"acc_norm_stderr": 0.03396116205845334
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.49,
"acc_stderr": 0.05024183937956911,
"acc_norm": 0.49,
"acc_norm_stderr": 0.05024183937956911
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.57,
"acc_stderr": 0.04975698519562428,
"acc_norm": 0.57,
"acc_norm_stderr": 0.04975698519562428
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.43,
"acc_stderr": 0.049756985195624284,
"acc_norm": 0.43,
"acc_norm_stderr": 0.049756985195624284
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6936416184971098,
"acc_stderr": 0.035149425512674394,
"acc_norm": 0.6936416184971098,
"acc_norm_stderr": 0.035149425512674394
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.43137254901960786,
"acc_stderr": 0.04928099597287534,
"acc_norm": 0.43137254901960786,
"acc_norm_stderr": 0.04928099597287534
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.76,
"acc_stderr": 0.042923469599092816,
"acc_norm": 0.76,
"acc_norm_stderr": 0.042923469599092816
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.6,
"acc_stderr": 0.03202563076101735,
"acc_norm": 0.6,
"acc_norm_stderr": 0.03202563076101735
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.49122807017543857,
"acc_stderr": 0.047028804320496165,
"acc_norm": 0.49122807017543857,
"acc_norm_stderr": 0.047028804320496165
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.6,
"acc_stderr": 0.040824829046386284,
"acc_norm": 0.6,
"acc_norm_stderr": 0.040824829046386284
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.5291005291005291,
"acc_stderr": 0.025707658614154947,
"acc_norm": 0.5291005291005291,
"acc_norm_stderr": 0.025707658614154947
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.5,
"acc_stderr": 0.04472135954999579,
"acc_norm": 0.5,
"acc_norm_stderr": 0.04472135954999579
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.44,
"acc_stderr": 0.04988876515698589,
"acc_norm": 0.44,
"acc_norm_stderr": 0.04988876515698589
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7677419354838709,
"acc_stderr": 0.024022256130308235,
"acc_norm": 0.7677419354838709,
"acc_norm_stderr": 0.024022256130308235
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.5911330049261084,
"acc_stderr": 0.03459058815883232,
"acc_norm": 0.5911330049261084,
"acc_norm_stderr": 0.03459058815883232
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.65,
"acc_stderr": 0.0479372485441102,
"acc_norm": 0.65,
"acc_norm_stderr": 0.0479372485441102
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7818181818181819,
"acc_stderr": 0.03225078108306289,
"acc_norm": 0.7818181818181819,
"acc_norm_stderr": 0.03225078108306289
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.8484848484848485,
"acc_stderr": 0.025545650426603617,
"acc_norm": 0.8484848484848485,
"acc_norm_stderr": 0.025545650426603617
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.8704663212435233,
"acc_stderr": 0.02423353229775873,
"acc_norm": 0.8704663212435233,
"acc_norm_stderr": 0.02423353229775873
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.658974358974359,
"acc_stderr": 0.024035489676335065,
"acc_norm": 0.658974358974359,
"acc_norm_stderr": 0.024035489676335065
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3851851851851852,
"acc_stderr": 0.029670906124630886,
"acc_norm": 0.3851851851851852,
"acc_norm_stderr": 0.029670906124630886
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.7563025210084033,
"acc_stderr": 0.027886828078380558,
"acc_norm": 0.7563025210084033,
"acc_norm_stderr": 0.027886828078380558
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.3576158940397351,
"acc_stderr": 0.03913453431177258,
"acc_norm": 0.3576158940397351,
"acc_norm_stderr": 0.03913453431177258
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8348623853211009,
"acc_stderr": 0.015919557829976044,
"acc_norm": 0.8348623853211009,
"acc_norm_stderr": 0.015919557829976044
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.6064814814814815,
"acc_stderr": 0.03331747876370312,
"acc_norm": 0.6064814814814815,
"acc_norm_stderr": 0.03331747876370312
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.803921568627451,
"acc_stderr": 0.027865942286639325,
"acc_norm": 0.803921568627451,
"acc_norm_stderr": 0.027865942286639325
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.7974683544303798,
"acc_stderr": 0.026160568246601446,
"acc_norm": 0.7974683544303798,
"acc_norm_stderr": 0.026160568246601446
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.7130044843049327,
"acc_stderr": 0.03036037971029195,
"acc_norm": 0.7130044843049327,
"acc_norm_stderr": 0.03036037971029195
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.7557251908396947,
"acc_stderr": 0.03768335959728742,
"acc_norm": 0.7557251908396947,
"acc_norm_stderr": 0.03768335959728742
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.7851239669421488,
"acc_stderr": 0.037494924487096966,
"acc_norm": 0.7851239669421488,
"acc_norm_stderr": 0.037494924487096966
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7314814814814815,
"acc_stderr": 0.042844679680521934,
"acc_norm": 0.7314814814814815,
"acc_norm_stderr": 0.042844679680521934
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.7423312883435583,
"acc_stderr": 0.03436150827846917,
"acc_norm": 0.7423312883435583,
"acc_norm_stderr": 0.03436150827846917
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.5178571428571429,
"acc_stderr": 0.047427623612430116,
"acc_norm": 0.5178571428571429,
"acc_norm_stderr": 0.047427623612430116
},
"harness|hendrycksTest-management|5": {
"acc": 0.7961165048543689,
"acc_stderr": 0.039891398595317706,
"acc_norm": 0.7961165048543689,
"acc_norm_stderr": 0.039891398595317706
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8760683760683761,
"acc_stderr": 0.02158649400128137,
"acc_norm": 0.8760683760683761,
"acc_norm_stderr": 0.02158649400128137
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.72,
"acc_stderr": 0.045126085985421276,
"acc_norm": 0.72,
"acc_norm_stderr": 0.045126085985421276
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.8173690932311622,
"acc_stderr": 0.01381633538997313,
"acc_norm": 0.8173690932311622,
"acc_norm_stderr": 0.01381633538997313
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.7167630057803468,
"acc_stderr": 0.02425790170532338,
"acc_norm": 0.7167630057803468,
"acc_norm_stderr": 0.02425790170532338
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.39106145251396646,
"acc_stderr": 0.01632076376380838,
"acc_norm": 0.39106145251396646,
"acc_norm_stderr": 0.01632076376380838
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.7124183006535948,
"acc_stderr": 0.02591780611714716,
"acc_norm": 0.7124183006535948,
"acc_norm_stderr": 0.02591780611714716
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.7202572347266881,
"acc_stderr": 0.02549425935069491,
"acc_norm": 0.7202572347266881,
"acc_norm_stderr": 0.02549425935069491
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.6851851851851852,
"acc_stderr": 0.02584224870090217,
"acc_norm": 0.6851851851851852,
"acc_norm_stderr": 0.02584224870090217
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.5106382978723404,
"acc_stderr": 0.02982074719142244,
"acc_norm": 0.5106382978723404,
"acc_norm_stderr": 0.02982074719142244
},
"harness|hendrycksTest-professional_law|5": {
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_Medilora__medilora-mistral-7b | open-llm-leaderboard | 2023-12-04T12:12:52Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T12:12:06Z | ---
pretty_name: Evaluation run of Medilora/medilora-mistral-7b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Medilora/medilora-mistral-7b](https://huggingface.co/Medilora/medilora-mistral-7b)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Medilora__medilora-mistral-7b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T12:09:16.453203](https://huggingface.co/datasets/open-llm-leaderboard/details_Medilora__medilora-mistral-7b/blob/main/results_2023-12-04T12-09-16.453203.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6225779223336574,\n\
\ \"acc_stderr\": 0.03262923869284095,\n \"acc_norm\": 0.6256207177826597,\n\
\ \"acc_norm_stderr\": 0.03328227496804697,\n \"mc1\": 0.3329253365973072,\n\
\ \"mc1_stderr\": 0.016497402382012055,\n \"mc2\": 0.49909817615808516,\n\
\ \"mc2_stderr\": 0.014849029663559004\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5861774744027304,\n \"acc_stderr\": 0.014392730009221007,\n\
\ \"acc_norm\": 0.6168941979522184,\n \"acc_norm_stderr\": 0.014206472661672874\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6324437363075085,\n\
\ \"acc_stderr\": 0.004811543077792712,\n \"acc_norm\": 0.8313085042820155,\n\
\ \"acc_norm_stderr\": 0.003737138752336941\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847415,\n \
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847415\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5481481481481482,\n\
\ \"acc_stderr\": 0.042992689054808644,\n \"acc_norm\": 0.5481481481481482,\n\
\ \"acc_norm_stderr\": 0.042992689054808644\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6710526315789473,\n \"acc_stderr\": 0.03823428969926604,\n\
\ \"acc_norm\": 0.6710526315789473,\n \"acc_norm_stderr\": 0.03823428969926604\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
\ \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.53,\n \
\ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.660377358490566,\n \"acc_stderr\": 0.029146904747798335,\n\
\ \"acc_norm\": 0.660377358490566,\n \"acc_norm_stderr\": 0.029146904747798335\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7013888888888888,\n\
\ \"acc_stderr\": 0.03827052357950756,\n \"acc_norm\": 0.7013888888888888,\n\
\ \"acc_norm_stderr\": 0.03827052357950756\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\
: 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\
: {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \
\ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \
\ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\": 0.32,\n\
\ \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\": 0.32,\n \
\ \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-college_medicine|5\"\
: {\n \"acc\": 0.5953757225433526,\n \"acc_stderr\": 0.03742461193887248,\n\
\ \"acc_norm\": 0.5953757225433526,\n \"acc_norm_stderr\": 0.03742461193887248\n\
\ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.4215686274509804,\n\
\ \"acc_stderr\": 0.04913595201274498,\n \"acc_norm\": 0.4215686274509804,\n\
\ \"acc_norm_stderr\": 0.04913595201274498\n },\n \"harness|hendrycksTest-computer_security|5\"\
: {\n \"acc\": 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \
\ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.04351941398892446\n \
\ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.5148936170212766,\n\
\ \"acc_stderr\": 0.032671518489247764,\n \"acc_norm\": 0.5148936170212766,\n\
\ \"acc_norm_stderr\": 0.032671518489247764\n },\n \"harness|hendrycksTest-econometrics|5\"\
: {\n \"acc\": 0.5350877192982456,\n \"acc_stderr\": 0.046920083813689104,\n\
\ \"acc_norm\": 0.5350877192982456,\n \"acc_norm_stderr\": 0.046920083813689104\n\
\ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\
: 0.503448275862069,\n \"acc_stderr\": 0.0416656757710158,\n \"acc_norm\"\
: 0.503448275862069,\n \"acc_norm_stderr\": 0.0416656757710158\n },\n\
\ \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\": 0.41005291005291006,\n\
\ \"acc_stderr\": 0.02533120243894443,\n \"acc_norm\": 0.41005291005291006,\n\
\ \"acc_norm_stderr\": 0.02533120243894443\n },\n \"harness|hendrycksTest-formal_logic|5\"\
: {\n \"acc\": 0.42857142857142855,\n \"acc_stderr\": 0.04426266681379909,\n\
\ \"acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.04426266681379909\n\
\ },\n \"harness|hendrycksTest-global_facts|5\": {\n \"acc\": 0.38,\n\
\ \"acc_stderr\": 0.04878317312145633,\n \"acc_norm\": 0.38,\n \
\ \"acc_norm_stderr\": 0.04878317312145633\n },\n \"harness|hendrycksTest-high_school_biology|5\"\
: {\n \"acc\": 0.7387096774193549,\n \"acc_stderr\": 0.024993053397764815,\n\
\ \"acc_norm\": 0.7387096774193549,\n \"acc_norm_stderr\": 0.024993053397764815\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.5221674876847291,\n \"acc_stderr\": 0.03514528562175008,\n \"\
acc_norm\": 0.5221674876847291,\n \"acc_norm_stderr\": 0.03514528562175008\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.65,\n \"acc_stderr\": 0.047937248544110196,\n \"acc_norm\"\
: 0.65,\n \"acc_norm_stderr\": 0.047937248544110196\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.793939393939394,\n \"acc_stderr\": 0.0315841532404771,\n\
\ \"acc_norm\": 0.793939393939394,\n \"acc_norm_stderr\": 0.0315841532404771\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217483,\n \"\
acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217483\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8808290155440415,\n \"acc_stderr\": 0.023381935348121437,\n\
\ \"acc_norm\": 0.8808290155440415,\n \"acc_norm_stderr\": 0.023381935348121437\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6333333333333333,\n \"acc_stderr\": 0.024433016466052466,\n\
\ \"acc_norm\": 0.6333333333333333,\n \"acc_norm_stderr\": 0.024433016466052466\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3074074074074074,\n \"acc_stderr\": 0.028133252578815632,\n \
\ \"acc_norm\": 0.3074074074074074,\n \"acc_norm_stderr\": 0.028133252578815632\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6428571428571429,\n \"acc_stderr\": 0.031124619309328177,\n\
\ \"acc_norm\": 0.6428571428571429,\n \"acc_norm_stderr\": 0.031124619309328177\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\
acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8293577981651377,\n \"acc_stderr\": 0.016129271025099864,\n \"\
acc_norm\": 0.8293577981651377,\n \"acc_norm_stderr\": 0.016129271025099864\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.4675925925925926,\n \"acc_stderr\": 0.03402801581358966,\n \"\
acc_norm\": 0.4675925925925926,\n \"acc_norm_stderr\": 0.03402801581358966\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8088235294117647,\n \"acc_stderr\": 0.027599174300640766,\n \"\
acc_norm\": 0.8088235294117647,\n \"acc_norm_stderr\": 0.027599174300640766\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7848101265822784,\n \"acc_stderr\": 0.026750826994676166,\n \
\ \"acc_norm\": 0.7848101265822784,\n \"acc_norm_stderr\": 0.026750826994676166\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6771300448430493,\n\
\ \"acc_stderr\": 0.03138147637575499,\n \"acc_norm\": 0.6771300448430493,\n\
\ \"acc_norm_stderr\": 0.03138147637575499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7633587786259542,\n \"acc_stderr\": 0.03727673575596915,\n\
\ \"acc_norm\": 0.7633587786259542,\n \"acc_norm_stderr\": 0.03727673575596915\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\
acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\
\ \"acc_stderr\": 0.03957835471980981,\n \"acc_norm\": 0.7870370370370371,\n\
\ \"acc_norm_stderr\": 0.03957835471980981\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7300613496932515,\n \"acc_stderr\": 0.034878251684978906,\n\
\ \"acc_norm\": 0.7300613496932515,\n \"acc_norm_stderr\": 0.034878251684978906\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.49107142857142855,\n\
\ \"acc_stderr\": 0.04745033255489124,\n \"acc_norm\": 0.49107142857142855,\n\
\ \"acc_norm_stderr\": 0.04745033255489124\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\
\ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\
\ \"acc_stderr\": 0.022801382534597524,\n \"acc_norm\": 0.8589743589743589,\n\
\ \"acc_norm_stderr\": 0.022801382534597524\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \
\ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8058748403575989,\n\
\ \"acc_stderr\": 0.014143970276657574,\n \"acc_norm\": 0.8058748403575989,\n\
\ \"acc_norm_stderr\": 0.014143970276657574\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6878612716763006,\n \"acc_stderr\": 0.024946792225272314,\n\
\ \"acc_norm\": 0.6878612716763006,\n \"acc_norm_stderr\": 0.024946792225272314\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.33743016759776534,\n\
\ \"acc_stderr\": 0.015813901283913048,\n \"acc_norm\": 0.33743016759776534,\n\
\ \"acc_norm_stderr\": 0.015813901283913048\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7222222222222222,\n \"acc_stderr\": 0.025646863097137897,\n\
\ \"acc_norm\": 0.7222222222222222,\n \"acc_norm_stderr\": 0.025646863097137897\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.662379421221865,\n\
\ \"acc_stderr\": 0.026858825879488544,\n \"acc_norm\": 0.662379421221865,\n\
\ \"acc_norm_stderr\": 0.026858825879488544\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.691358024691358,\n \"acc_stderr\": 0.02570264026060374,\n\
\ \"acc_norm\": 0.691358024691358,\n \"acc_norm_stderr\": 0.02570264026060374\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.5106382978723404,\n \"acc_stderr\": 0.02982074719142244,\n \
\ \"acc_norm\": 0.5106382978723404,\n \"acc_norm_stderr\": 0.02982074719142244\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.45632333767926986,\n\
\ \"acc_stderr\": 0.012721420501462546,\n \"acc_norm\": 0.45632333767926986,\n\
\ \"acc_norm_stderr\": 0.012721420501462546\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.5992647058823529,\n \"acc_stderr\": 0.029768263528933105,\n\
\ \"acc_norm\": 0.5992647058823529,\n \"acc_norm_stderr\": 0.029768263528933105\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6421568627450981,\n \"acc_stderr\": 0.019393058402355442,\n \
\ \"acc_norm\": 0.6421568627450981,\n \"acc_norm_stderr\": 0.019393058402355442\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\
\ \"acc_stderr\": 0.044612721759105085,\n \"acc_norm\": 0.6818181818181818,\n\
\ \"acc_norm_stderr\": 0.044612721759105085\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784596,\n\
\ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784596\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\
\ \"acc_stderr\": 0.026508590656233264,\n \"acc_norm\": 0.8308457711442786,\n\
\ \"acc_norm_stderr\": 0.026508590656233264\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5180722891566265,\n\
\ \"acc_stderr\": 0.03889951252827216,\n \"acc_norm\": 0.5180722891566265,\n\
\ \"acc_norm_stderr\": 0.03889951252827216\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\
\ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3329253365973072,\n\
\ \"mc1_stderr\": 0.016497402382012055,\n \"mc2\": 0.49909817615808516,\n\
\ \"mc2_stderr\": 0.014849029663559004\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.77663772691397,\n \"acc_stderr\": 0.011705697565205201\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5185746777862017,\n \
\ \"acc_stderr\": 0.013762977910317584\n }\n}\n```"
repo_url: https://huggingface.co/Medilora/medilora-mistral-7b
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|arc:challenge|25_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|gsm8k|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hellaswag|10_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T12-09-16.453203.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T12-09-16.453203.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- '**/details_harness|winogrande|5_2023-12-04T12-09-16.453203.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T12-09-16.453203.parquet'
- config_name: results
data_files:
- split: 2023_12_04T12_09_16.453203
path:
- results_2023-12-04T12-09-16.453203.parquet
- split: latest
path:
- results_2023-12-04T12-09-16.453203.parquet
---
# Dataset Card for Evaluation run of Medilora/medilora-mistral-7b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Medilora/medilora-mistral-7b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Medilora/medilora-mistral-7b](https://huggingface.co/Medilora/medilora-mistral-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Medilora__medilora-mistral-7b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T12:09:16.453203](https://huggingface.co/datasets/open-llm-leaderboard/details_Medilora__medilora-mistral-7b/blob/main/results_2023-12-04T12-09-16.453203.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.6225779223336574,
"acc_stderr": 0.03262923869284095,
"acc_norm": 0.6256207177826597,
"acc_norm_stderr": 0.03328227496804697,
"mc1": 0.3329253365973072,
"mc1_stderr": 0.016497402382012055,
"mc2": 0.49909817615808516,
"mc2_stderr": 0.014849029663559004
},
"harness|arc:challenge|25": {
"acc": 0.5861774744027304,
"acc_stderr": 0.014392730009221007,
"acc_norm": 0.6168941979522184,
"acc_norm_stderr": 0.014206472661672874
},
"harness|hellaswag|10": {
"acc": 0.6324437363075085,
"acc_stderr": 0.004811543077792712,
"acc_norm": 0.8313085042820155,
"acc_norm_stderr": 0.003737138752336941
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.27,
"acc_stderr": 0.044619604333847415,
"acc_norm": 0.27,
"acc_norm_stderr": 0.044619604333847415
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.5481481481481482,
"acc_stderr": 0.042992689054808644,
"acc_norm": 0.5481481481481482,
"acc_norm_stderr": 0.042992689054808644
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6710526315789473,
"acc_stderr": 0.03823428969926604,
"acc_norm": 0.6710526315789473,
"acc_norm_stderr": 0.03823428969926604
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.53,
"acc_stderr": 0.05016135580465919,
"acc_norm": 0.53,
"acc_norm_stderr": 0.05016135580465919
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```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
lawful-good-project/ipc_decisions_4k | lawful-good-project | 2023-12-04T12:26:05Z | 0 | 0 | [
"license:gpl-3.0",
"region:us"
]
| null | 2023-12-04T12:24:57Z | ---
license: gpl-3.0
---
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|
satyambarnwal/balcony8 | satyambarnwal | 2023-12-04T12:37:51Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T12:37:48Z | ---
dataset_info:
features:
- name: original_image
dtype: image
- name: edit_prompt
dtype: string
- name: output_image
dtype: image
splits:
- name: train
num_bytes: 56784678.0
num_examples: 63
download_size: 29126186
dataset_size: 56784678.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
kedarphutane/ism_usecase_sample_dataset | kedarphutane | 2023-12-04T12:38:42Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-04T12:38:42Z | ---
license: mit
---
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|
open-llm-leaderboard/details_TheBloke__orca_mini_v3_13B-GPTQ | open-llm-leaderboard | 2023-12-04T12:42:53Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T12:42:00Z | ---
pretty_name: Evaluation run of TheBloke/orca_mini_v3_13B-GPTQ
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [TheBloke/orca_mini_v3_13B-GPTQ](https://huggingface.co/TheBloke/orca_mini_v3_13B-GPTQ)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_TheBloke__orca_mini_v3_13B-GPTQ\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T12:38:59.699618](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__orca_mini_v3_13B-GPTQ/blob/main/results_2023-12-04T12-38-59.699618.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5613401785987572,\n\
\ \"acc_stderr\": 0.033576900106646816,\n \"acc_norm\": 0.5663280514839403,\n\
\ \"acc_norm_stderr\": 0.0342786577705747,\n \"mc1\": 0.3561811505507956,\n\
\ \"mc1_stderr\": 0.016763790728446335,\n \"mc2\": 0.4922092515317753,\n\
\ \"mc2_stderr\": 0.015510989644544924\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5930034129692833,\n \"acc_stderr\": 0.01435639941800912,\n\
\ \"acc_norm\": 0.6194539249146758,\n \"acc_norm_stderr\": 0.014188277712349814\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.617805218084047,\n\
\ \"acc_stderr\": 0.004849306998727771,\n \"acc_norm\": 0.81557458673571,\n\
\ \"acc_norm_stderr\": 0.003870381199967957\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.04605661864718381,\n \
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.04605661864718381\n },\n\
\ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4740740740740741,\n\
\ \"acc_stderr\": 0.04313531696750574,\n \"acc_norm\": 0.4740740740740741,\n\
\ \"acc_norm_stderr\": 0.04313531696750574\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.04068942293855797,\n \
\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.04068942293855797\n },\n\
\ \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.61,\n \
\ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n \
\ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6188679245283019,\n \"acc_stderr\": 0.029890609686286637,\n\
\ \"acc_norm\": 0.6188679245283019,\n \"acc_norm_stderr\": 0.029890609686286637\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5902777777777778,\n\
\ \"acc_stderr\": 0.041124909746707884,\n \"acc_norm\": 0.5902777777777778,\n\
\ \"acc_norm_stderr\": 0.041124909746707884\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.44,\n \"acc_stderr\": 0.049888765156985884,\n \"acc_norm\": 0.44,\n\
\ \"acc_norm_stderr\": 0.049888765156985884\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4913294797687861,\n\
\ \"acc_stderr\": 0.03811890988940412,\n \"acc_norm\": 0.4913294797687861,\n\
\ \"acc_norm_stderr\": 0.03811890988940412\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.04533838195929776,\n\
\ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.04533838195929776\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.74,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.74,\n\
\ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.4808510638297872,\n \"acc_stderr\": 0.03266204299064678,\n\
\ \"acc_norm\": 0.4808510638297872,\n \"acc_norm_stderr\": 0.03266204299064678\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2894736842105263,\n\
\ \"acc_stderr\": 0.04266339443159394,\n \"acc_norm\": 0.2894736842105263,\n\
\ \"acc_norm_stderr\": 0.04266339443159394\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5103448275862069,\n \"acc_stderr\": 0.04165774775728763,\n\
\ \"acc_norm\": 0.5103448275862069,\n \"acc_norm_stderr\": 0.04165774775728763\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.30952380952380953,\n \"acc_stderr\": 0.023809523809523846,\n \"\
acc_norm\": 0.30952380952380953,\n \"acc_norm_stderr\": 0.023809523809523846\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3333333333333333,\n\
\ \"acc_stderr\": 0.04216370213557836,\n \"acc_norm\": 0.3333333333333333,\n\
\ \"acc_norm_stderr\": 0.04216370213557836\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6387096774193548,\n\
\ \"acc_stderr\": 0.02732754844795754,\n \"acc_norm\": 0.6387096774193548,\n\
\ \"acc_norm_stderr\": 0.02732754844795754\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.43842364532019706,\n \"acc_stderr\": 0.03491207857486519,\n\
\ \"acc_norm\": 0.43842364532019706,\n \"acc_norm_stderr\": 0.03491207857486519\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\"\
: 0.6,\n \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.6848484848484848,\n \"acc_stderr\": 0.0362773057502241,\n\
\ \"acc_norm\": 0.6848484848484848,\n \"acc_norm_stderr\": 0.0362773057502241\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7373737373737373,\n \"acc_stderr\": 0.03135305009533086,\n \"\
acc_norm\": 0.7373737373737373,\n \"acc_norm_stderr\": 0.03135305009533086\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8082901554404145,\n \"acc_stderr\": 0.02840895362624527,\n\
\ \"acc_norm\": 0.8082901554404145,\n \"acc_norm_stderr\": 0.02840895362624527\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.541025641025641,\n \"acc_stderr\": 0.025265525491284295,\n \
\ \"acc_norm\": 0.541025641025641,\n \"acc_norm_stderr\": 0.025265525491284295\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3148148148148148,\n \"acc_stderr\": 0.02831753349606647,\n \
\ \"acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.02831753349606647\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.5840336134453782,\n \"acc_stderr\": 0.032016501007396114,\n\
\ \"acc_norm\": 0.5840336134453782,\n \"acc_norm_stderr\": 0.032016501007396114\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2847682119205298,\n \"acc_stderr\": 0.03684881521389024,\n \"\
acc_norm\": 0.2847682119205298,\n \"acc_norm_stderr\": 0.03684881521389024\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.7541284403669725,\n \"acc_stderr\": 0.018461940968708436,\n \"\
acc_norm\": 0.7541284403669725,\n \"acc_norm_stderr\": 0.018461940968708436\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.4861111111111111,\n \"acc_stderr\": 0.03408655867977749,\n \"\
acc_norm\": 0.4861111111111111,\n \"acc_norm_stderr\": 0.03408655867977749\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.7352941176470589,\n \"acc_stderr\": 0.030964517926923403,\n \"\
acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.030964517926923403\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7637130801687764,\n \"acc_stderr\": 0.027652153144159256,\n \
\ \"acc_norm\": 0.7637130801687764,\n \"acc_norm_stderr\": 0.027652153144159256\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6278026905829597,\n\
\ \"acc_stderr\": 0.03244305283008731,\n \"acc_norm\": 0.6278026905829597,\n\
\ \"acc_norm_stderr\": 0.03244305283008731\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.6564885496183206,\n \"acc_stderr\": 0.041649760719448786,\n\
\ \"acc_norm\": 0.6564885496183206,\n \"acc_norm_stderr\": 0.041649760719448786\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302872,\n \"acc_norm\"\
: 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302872\n },\n\
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.75,\n \
\ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.75,\n \
\ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.6748466257668712,\n \"acc_stderr\": 0.036803503712864616,\n\
\ \"acc_norm\": 0.6748466257668712,\n \"acc_norm_stderr\": 0.036803503712864616\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3482142857142857,\n\
\ \"acc_stderr\": 0.04521829902833585,\n \"acc_norm\": 0.3482142857142857,\n\
\ \"acc_norm_stderr\": 0.04521829902833585\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\
\ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7777777777777778,\n\
\ \"acc_stderr\": 0.0272360139461967,\n \"acc_norm\": 0.7777777777777778,\n\
\ \"acc_norm_stderr\": 0.0272360139461967\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.61,\n \"acc_stderr\": 0.04902071300001975,\n \
\ \"acc_norm\": 0.61,\n \"acc_norm_stderr\": 0.04902071300001975\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.756066411238825,\n\
\ \"acc_stderr\": 0.015357212665829461,\n \"acc_norm\": 0.756066411238825,\n\
\ \"acc_norm_stderr\": 0.015357212665829461\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6473988439306358,\n \"acc_stderr\": 0.025722802200895803,\n\
\ \"acc_norm\": 0.6473988439306358,\n \"acc_norm_stderr\": 0.025722802200895803\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3787709497206704,\n\
\ \"acc_stderr\": 0.016223533510365113,\n \"acc_norm\": 0.3787709497206704,\n\
\ \"acc_norm_stderr\": 0.016223533510365113\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6078431372549019,\n \"acc_stderr\": 0.027956046165424516,\n\
\ \"acc_norm\": 0.6078431372549019,\n \"acc_norm_stderr\": 0.027956046165424516\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6655948553054662,\n\
\ \"acc_stderr\": 0.026795422327893934,\n \"acc_norm\": 0.6655948553054662,\n\
\ \"acc_norm_stderr\": 0.026795422327893934\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6327160493827161,\n \"acc_stderr\": 0.0268228017595079,\n\
\ \"acc_norm\": 0.6327160493827161,\n \"acc_norm_stderr\": 0.0268228017595079\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.40425531914893614,\n \"acc_stderr\": 0.029275532159704725,\n \
\ \"acc_norm\": 0.40425531914893614,\n \"acc_norm_stderr\": 0.029275532159704725\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4198174706649283,\n\
\ \"acc_stderr\": 0.012604960816087377,\n \"acc_norm\": 0.4198174706649283,\n\
\ \"acc_norm_stderr\": 0.012604960816087377\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.5147058823529411,\n \"acc_stderr\": 0.03035969707904612,\n\
\ \"acc_norm\": 0.5147058823529411,\n \"acc_norm_stderr\": 0.03035969707904612\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.5669934640522876,\n \"acc_stderr\": 0.020045442473324227,\n \
\ \"acc_norm\": 0.5669934640522876,\n \"acc_norm_stderr\": 0.020045442473324227\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\
\ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \
\ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.6530612244897959,\n \"acc_stderr\": 0.030472526026726496,\n\
\ \"acc_norm\": 0.6530612244897959,\n \"acc_norm_stderr\": 0.030472526026726496\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6616915422885572,\n\
\ \"acc_stderr\": 0.033455630703391935,\n \"acc_norm\": 0.6616915422885572,\n\
\ \"acc_norm_stderr\": 0.033455630703391935\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536934,\n \
\ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.038612291966536934\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4578313253012048,\n\
\ \"acc_stderr\": 0.038786267710023595,\n \"acc_norm\": 0.4578313253012048,\n\
\ \"acc_norm_stderr\": 0.038786267710023595\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7719298245614035,\n \"acc_stderr\": 0.03218093795602357,\n\
\ \"acc_norm\": 0.7719298245614035,\n \"acc_norm_stderr\": 0.03218093795602357\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3561811505507956,\n\
\ \"mc1_stderr\": 0.016763790728446335,\n \"mc2\": 0.4922092515317753,\n\
\ \"mc2_stderr\": 0.015510989644544924\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7576953433307024,\n \"acc_stderr\": 0.012042352526174789\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.29492039423805916,\n \
\ \"acc_stderr\": 0.01256069801095475\n }\n}\n```"
repo_url: https://huggingface.co/TheBloke/orca_mini_v3_13B-GPTQ
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|arc:challenge|25_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|gsm8k|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hellaswag|10_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T12-38-59.699618.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T12-38-59.699618.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- '**/details_harness|winogrande|5_2023-12-04T12-38-59.699618.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T12-38-59.699618.parquet'
- config_name: results
data_files:
- split: 2023_12_04T12_38_59.699618
path:
- results_2023-12-04T12-38-59.699618.parquet
- split: latest
path:
- results_2023-12-04T12-38-59.699618.parquet
---
# Dataset Card for Evaluation run of TheBloke/orca_mini_v3_13B-GPTQ
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/TheBloke/orca_mini_v3_13B-GPTQ
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [TheBloke/orca_mini_v3_13B-GPTQ](https://huggingface.co/TheBloke/orca_mini_v3_13B-GPTQ) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_TheBloke__orca_mini_v3_13B-GPTQ",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T12:38:59.699618](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__orca_mini_v3_13B-GPTQ/blob/main/results_2023-12-04T12-38-59.699618.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
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```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
HuggingFaceH4/metamath_ift | HuggingFaceH4 | 2023-12-04T12:51:59Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T12:51:36Z | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: prompt_id
dtype: string
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train_ift
num_bytes: 383571305.55
num_examples: 375250
- name: test_ift
num_bytes: 20187963.45
num_examples: 19750
download_size: 203596725
dataset_size: 403759269.0
configs:
- config_name: default
data_files:
- split: train_ift
path: data/train_ift-*
- split: test_ift
path: data/test_ift-*
---
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|
Bilic/phishing | Bilic | 2023-12-04T13:13:31Z | 0 | 0 | [
"task_categories:text-classification",
"task_categories:summarization",
"task_categories:question-answering",
"task_categories:conversational",
"task_categories:text-to-speech",
"size_categories:10K<n<100K",
"license:mit",
"phishing",
"fraud",
"region:us"
]
| [
"text-classification",
"summarization",
"question-answering",
"conversational",
"text-to-speech"
]
| 2023-12-04T12:52:14Z | ---
license: mit
task_categories:
- text-classification
- summarization
- question-answering
- conversational
- text-to-speech
tags:
- phishing
- fraud
pretty_name: bilic-phishing
size_categories:
- 10K<n<100K
---
# Dataset Card for Cooperate Phishing
<!-- Provide a quick summary of the dataset. -->
Bilic Phishing Corpus contains over 20k chat dialogues with annotated summaries. There are two features: - dialogue: text of dialogue. - summary: A summary of the dialogure to determine phishing attempt. "
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Dialogue:** Intra Cooperate Conversation
- **Summary:** A summary of the dialogure to determine phishing attempt
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://huggingface.co/datasets/samsum
## Uses
Build models to Anti- Phishing detection in a conversation or dialogue
### Direct Use
For fraud prevention, security and clasfficiation models
[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 Creation
### Curation Rationale
Below is an example of the dialogue and summary synthetic data we used to train a Mistral 7b model for real time fraud detection. We were faced with data constraints for real time dailogure, synthetic data becomes our ally in enhancing model performance.
[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] | [
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|
mjbuehler/GPTSilkomePretrained | mjbuehler | 2023-12-04T12:54:25Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T12:54:17Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 213036133
num_examples: 731354
download_size: 203708011
dataset_size: 213036133
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "GPTSilkomePretrained"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
lamm-mit/SilkomePretrainedGPT | lamm-mit | 2023-12-04T13:01:18Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T13:01:11Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 213036133
num_examples: 731354
download_size: 203708011
dataset_size: 213036133
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "GPTSilkomePretrained"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
mesolitica/chatgpt-malaysian-extractive-qa | mesolitica | 2023-12-04T13:32:29Z | 0 | 0 | [
"task_categories:question-answering",
"language:ms",
"region:us"
]
| [
"question-answering"
]
| 2023-12-04T13:06:49Z | ---
task_categories:
- question-answering
language:
- ms
pretty_name: synthetic-malaysian-extract-qa
---
# Synthetic Malaysian Extractive QA
Generated using ChatGPT3.5, notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/question-answer/chatgpt3.5-extractive-news | [
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|
nRuaif/Spice_and_wolf_LM | nRuaif | 2023-12-04T13:07:59Z | 0 | 0 | [
"license:cc-by-nc-sa-4.0",
"region:us"
]
| null | 2023-12-04T13:07:39Z | ---
license: cc-by-nc-sa-4.0
---
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|
KoladeOdunope/yoruba_text | KoladeOdunope | 2023-12-04T13:24:33Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T13:14:03Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 295073286
num_examples: 54774762
download_size: 63435846
dataset_size: 295073286
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
blanchon/INRIA-Aerial-Image-Labeling | blanchon | 2023-12-04T14:47:42Z | 0 | 0 | [
"task_categories:image-segmentation",
"size_categories:n<1K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"scene-segmentation",
"semantic-segmentation",
"building-labeling",
"arxiv:1608.05167",
"region:us"
]
| [
"image-segmentation"
]
| 2023-12-04T13:17:26Z | ---
license:
- unknown
task_categories:
- image-segmentation
language:
- en
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- scene-segmentation
- semantic-segmentation
- building-labeling
pretty_name: Inria Aerial Image Labeling Dataset
size_categories:
- n<1K
---
# Inria Aerial Image Labeling Dataset
## Description
The Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in ["Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark," Maggiori et al.](https://ieeexplore.ieee.org/document/8127684). It consists of 360 high-resolution (0.3m) RGB images, each with a size of 5000x5000 pixels. These images are extracted from various international GIS services, such as the [USGS National Map](https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map).
Project page: https://project.inria.fr/aerialimagelabeling/
## Details
## Structure
```tree
.
├── README.md
└── data
├── test
│ └── images
│ ├── bellingham1.tif
│ ├── bellingham2.tif
│ ├── ...
│ └── tyrol-e36.tif
└── train
├── gt
│ ├── austin1.tif
│ ├── austin2.tif
│ ├── ...
│ └── vienna36.tif
└── images
├── austin1.tif
├── austin2.tif
├── ...
└── vienna36.tif
```
### Statistics
- **Image Resolution:** 0.3 meters per pixel
- **Image Size:** 5000x5000 pixels
- **Total Images:** 360
- **Regions:** 10 regions around the world, including both urban and rural areas.
- **Split:** Train and test sets are split into different cities for evaluating model generalization across dramatically different locations.
- **Test Set Ground Truth Masks:** Note that the ground truth masks for the test set have not been publicly released.
The dataset was originally used in the [Inria Aerial Image Labeling Dataset Contest](https://project.inria.fr/aerialimagelabeling/contest/).
### About the Dataset
The Inria Aerial Image Labeling Dataset is a comprehensive resource for semantic segmentation tasks in the field of remote sensing, with additional information as follows:
- **Dataset Coverage:** The dataset spans a total area of 810 km², meticulously divided into 405 km² for training and another 405 km² for testing purposes.
- **Image Characteristics:** This dataset offers aerial orthorectified color imagery, capturing scenes at an impressive spatial resolution of 0.3 meters per pixel.
- **Semantic Classes:** Ground truth data is provided for two fundamental semantic classes: "building" and "not building." It's important to note that ground truth data for the "not building" class is publicly disclosed exclusively for the training subset.
- **Diverse Urban Settlements:** The images cover a diverse range of urban settlements, ranging from densely populated areas such as San Francisco's financial district to picturesque alpine towns like Lienz in Austrian Tyrol.
- **City-Based Split:** Instead of merely dividing adjacent portions of the same images into the training and test subsets, this dataset adopts a unique approach. Different cities are included in each of the subsets. For instance, images from Chicago are part of the training set and excluded from the test set, while images from San Francisco are included in the test set and not in the training set. This design aims to assess the generalization capabilities of semantic labeling techniques across regions with varying illumination conditions, urban landscapes, and times of the year.
- **Data Sources:** The dataset was meticulously constructed by combining publicly available imagery and official building footprints.
This additional information further enriches the understanding of the Inria Aerial Image Labeling Dataset and its potential applications in remote sensing research.
<!-- ### Sample Images
You can explore sample images from this dataset:
-  Chicago
-  Chicago - Reference
-  Kitsap County, WA
-  Kitsap County, WA - Reference
-  Vienna
-  Vienna - Reference -->
## Citation
If you use the Inria Aerial Image Labeling Dataset dataset in your research, please consider citing the following publication or the dataset's official website:
```bibtex
@article{xia2017aid,
title = {AID: A benchmark data set for performance evaluation of aerial scene classification},
author = {Xia, Gui-Song and Hu, Jingwen and Hu, Fan and Shi, Baoguang and Bai, Xiang and Zhong, Yanfei and Zhang, Liangpei and Lu, Xiaoqiang},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
volume = {55},
number = {7},
pages = {3965-3981},
year = {2017},
publisher = {IEEE}
}
```
[AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification](https://arxiv.org/pdf/1608.05167v1.pdf) | [
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|
lamm-mit/GPTProteinPretrained | lamm-mit | 2023-12-04T13:48:20Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T13:48:11Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 266893442
num_examples: 772027
download_size: 257822249
dataset_size: 266893442
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "GPTProteinPretrained"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
blanchon/AID | blanchon | 2023-12-04T13:58:07Z | 0 | 0 | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"region:us"
]
| [
"image-classification"
]
| 2023-12-04T13:57:13Z | ---
license:
- unknown
task_categories:
- image-classification
language:
- en
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
pretty_name: Aerial Image Dataset (AID)
size_categories:
- 1K<n<10K
---
# Aerial Image Dataset (AID)
## Description
The Aerial Image Dataset (AID) is a scene classification dataset consisting of 10,000 RGB images, each with a resolution of 600x600 pixels. These images have been extracted using [Google Earth](https://earth.google.com/web/) and cover various scenes from regions and countries around the world. AID comprises 30 different scene categories, with several hundred images per class.
The new dataset is made up of the following 30 aerial scene types: airport, bare land, baseball field, beach, bridge, center, church, commercial, dense residential, desert, farmland, forest, industrial, meadow, medium residential, mountain, park, parking, playground, pond, port, railway station, resort, river, school, sparse residential, square, stadium, storage tanks and viaduct. All the images are labelled by the specialists in the field of remote sensing image interpretation, and some samples of each class are shown in Fig.1. In all, the AID dataset has a number of 10000 images within 30 classes.
The dataset is designed for the evaluation of aerial scene classification algorithms and models. It is considered a relatively easy dataset, with approximately 90% accuracy achievable using a VGG-16 architecture.
## Details
## Structure
```tree
.
├── README.md
└── data
├── Airport
│ ├── airport_1.png
│ ├── airport_2.png
│ ├── ...
│ └── airport_360.png
├── BareLand
│ ├── bareland_1.png
│ ├── ...
│ └── bareland_310.png
├── ...
└── Viaduct
```
### Statistics
- Total Number of Images: 10,000
- Image Resolution: 600x600 pixels
- Scene Categories: 30
- Dataset Size: 2.6GB
## Citation
If you use the Aerial Image Dataset (AID) in your research, please consider citing the following publication:
```bibtex
@article{xia2017aid,
title = {AID: A benchmark data set for performance evaluation of aerial scene classification},
author = {Xia, Gui-Song and Hu, Jingwen and Hu, Fan and Shi, Baoguang and Bai, Xiang and Zhong, Yanfei and Zhang, Liangpei and Lu, Xiaoqiang},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
volume = {55},
number = {7},
pages = {3965-3981},
year = {2017},
publisher = {IEEE}
}
```
Paper with code: https://paperswithcode.com/dataset/aid | [
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|
Sk4467/punjabi_alpaca_52K | Sk4467 | 2023-12-04T14:07:00Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T14:04:46Z | ---
license: apache-2.0
dataset_info:
features:
- name: input
dtype: string
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 46649317
num_examples: 52002
download_size: 18652304
dataset_size: 46649317
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
blanchon/ETCI-2021-Flood-Detection | blanchon | 2023-12-04T14:07:18Z | 0 | 0 | [
"license:unknown",
"region:us"
]
| null | 2023-12-04T14:07:18Z | ---
license: unknown
---
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|
blanchon/EuroSAT-RGB | blanchon | 2023-12-04T14:18:35Z | 0 | 0 | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"land-cover-classification",
"sentinel-2",
"region:us"
]
| [
"image-classification"
]
| 2023-12-04T14:18:03Z | ---
license:
- unknown
task_categories:
- image-classification
language:
- en
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- land-cover-classification
- sentinel-2
pretty_name: EuroSAT
size_categories:
- 10K<n<100K
---
# EuroSAT RGB
## Description
The EuroSAT dataset is a comprehensive land cover classification dataset that focuses on images taken by the [ESA Sentinel-2 satellite](https://sentinel.esa.int/web/sentinel/missions/sentinel-2). It contains a total of 27,000 images, each with a resolution of 64x64 pixels. These images cover 10 distinct land cover classes and are collected from over 34 European countries.
The dataset is available in two versions: **RGB only** (this repo) and all 13 [Multispectral (MS) Sentinel-2 bands](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/resolutions/spatial). EuroSAT is considered a relatively easy dataset, with approximately 98.6% accuracy achievable using a ResNet-50 architecture.
## Details
### Statistics
- Total Number of Images: 27,000
- Bands: 3 (RGB)
- Image Resolution: 64x64 pixels
- Land Cover Classes: 10
- Dataset Size: Approximately 13GB
## Citation
If you use the EuroSAT dataset in your research, please consider citing the following publication:
```bibtex
@article{helber2017eurosat,
title={EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification},
author={Helber, et al.},
journal={ArXiv preprint arXiv:1709.00029},
year={2017}
}
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|
EmmaGthn/Moji_balanced_90 | EmmaGthn | 2023-12-04T14:39:40Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T14:34:32Z | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: sa
dtype: int64
splits:
- name: train
num_bytes: 162535.0
num_examples: 1324
- name: test
num_bytes: 257051.49806856085
num_examples: 2000
download_size: 157990
dataset_size: 419586.49806856085
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
blanchon/LEVIR-CDPlus | blanchon | 2023-12-04T14:38:44Z | 0 | 0 | [
"task_categories:image-segmentation",
"size_categories:n<1G",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"change-detection",
"urban-building",
"region:us"
]
| [
"image-segmentation"
]
| 2023-12-04T14:37:01Z | ---
license:
- unknown
task_categories:
- image-segmentation
language:
- en
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- change-detection
- urban-building
pretty_name: LEVIR Change Detection+ (LEVIR-CD+) Dataset
size_categories:
- n<1G
---
# LEVIR Change Detection+ (LEVIR-CD+) Dataset
## Description
The [LEVIR-CD+](https://chenhao.in/LEVIR/) dataset is an urban building change detection dataset that focuses on RGB image pairs extracted from Google Earth. This dataset consists of a total of 985 image pairs, each with a resolution of 1024x1024 pixels and a spatial resolution of 0.5 meters per pixel. The dataset includes building and land use change masks for 20 different regions in Texas, spanning the years 2002 to 2020, with a time span of 5 years between observations. LEVIR-CD+ is designed as the easier version of the S2Looking dataset, primarily due to its urban locations and near-nadir angles.
## Details
## Structure
```tree
.
├── README.md
└── data
├── test
│ ├── A
│ │ ├── train_638.png
│ │ ├── ...
│ │ └── train_985.png
│ ├── B
│ │ └── ...
│ └── label
│ └── ...
└── train
├── A
│ ├── train_1.png
│ ├── ...
│ └── train_637.png
├── B
│ └── ...
└── label
└── ...
```
### Statistics
- Total Number of Image Pairs: 985
- Image Resolution: 1024x1024 pixels
- Spatial Resolution: 0.5 meters per pixel
- Change Detection Labels: Building and land use change masks
- Dataset Size: 3.6GB
### Geospatial Distribution of LEVIR-CD
The bitemporal images in LEVIR-CD are from 20 different regions that sit in several cities in Texas of the US, including Austin, Lakeway, Bee Cave, Buda, Kyle, Manor, Pflugervilletx, Dripping Springs, etc. The Figure below illustrates the geospatial distribution of our new dataset and an enlarged image patch. The captured time of our image data varies from 2002 to 2018. Images in different regions may be taken at different times. We want to introduce variations due to seasonal changes and illumination changes into our new dataset, which could help develop effective methods that can mitigate the impact of irrelevant changes on real changes.
### Examples of annotated samples
#### Samples size of 1024 × 1024
#### Cropped samples size of 256 × 256
## Citation
If you use the LEVIR Change Detection+ (LEVIR-CD+) dataset in your research, please consider citing the following publication or the dataset's official website:
```bibtex
@Article{Chen2020,
AUTHOR = {Chen, Hao and Shi, Zhenwei},
TITLE = {A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection},
JOURNAL = {Remote Sensing},
VOLUME = {12},
YEAR = {2020},
NUMBER = {10},
ARTICLE-NUMBER = {1662},
URL = {https://www.mdpi.com/2072-4292/12/10/1662},
ISSN = {2072-4292},
DOI = {10.3390/rs12101662}
}
```
We are from LEVIR, which is the abbreviation of ours’ laboratory: LEarning, VIsion and Remote sensing laboratory. Visit the lab homepage for more details.
If you have any the problem or feedback in using LEVIR-CD, please contact
Hao Chen at [email protected]
Zhenwei Shi at [email protected]
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|
Gabriel1322/rafaelmodelo | Gabriel1322 | 2023-12-04T14:44:05Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-04T14:42:26Z | ---
license: openrail
---
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|
pallie/training_aml | pallie | 2023-12-04T15:08:33Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T14:57:10Z | ---
license: apache-2.0
---
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|
octoz/domingos | octoz | 2023-12-04T14:58:07Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-04T14:57:54Z | ---
license: openrail
---
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|
portafolio/llamadas-celular-es-1618-90-10 | portafolio | 2023-12-04T15:08:36Z | 0 | 0 | [
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:es",
"region:us"
]
| [
"conversational"
]
| 2023-12-04T14:58:07Z | ---
task_categories:
- conversational
language:
- es
size_categories:
- 1K<n<10K
divition:
- 90 10
--- | [
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|
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