sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a0ecd86e4baa61ec6c88791f14037dd4d76013b1 | <p><strong><a href="https://savage-grow.clubeo.com/calendar/2024/01/01/savage-grow-plus-formula-usa-official-website-real-users-reviews-know-all-details-2023">Savage Grow Plus</a> Review-</strong> <a href="https://savage-grow.clubeo.com/page/savage-grow-plus-review-2024-ingredients-pros-cons-of-testosterone-booster.htm... | Savagegrowus/savage-grow-plus-review | [
"region:us"
] | 2023-12-30T11:59:56+00:00 | {} | 2023-12-30T12:00:19+00:00 | [] | [] | TAGS
#region-us
| <p><strong><a href="URL Grow Plus</a> Review-</strong> <a href="URL Grow Plus</strong></a> is a diet formula that reveals the true size of your penis. <a href="URL Grow Plus</strong></a> is made with the best all-natural herbs to quickly give you the best results.</p>
<p>Most men are obsessed with their penis size. Acc... | [
"# READ MORE</strong></h2>\n<p><strong><a href=\"URL/URL\n<p><strong><a href=\"URL/URL\n<p><strong><a href=\"URL/URL\n<p><strong><a href=\"URL/URL\n<p><strong><a href=\"URL/URL\n<p><strong><a href=\"URL/URL\n<p><strong><a href=\"URL/URL\n<p><strong><a href=\"URL/URL\n<p><strong><a href=\"URL/URL\n<p><strong><a href... | [
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10c7c37d42010b067c8223b3325d1a58f4dd2924 |
# SlimOrca-Dedup-Turkish
```
Dataset Cost: USD 558
Translated with: gpt-3.5-turbo-1106
Elapsed Time: 4 hours 12 minutes
```
## SlimOrcaPart1:
```
English Token Count: 63.983.788
Token Count After Turkish Translation: 92.292.655
Number of Successfully Translated Row: 181.747
```
## SlimOrcaPart2:
```
English Token C... | t3aile/SlimOrca-Dedup-Turkish | [
"size_categories:100K<n<1M",
"language:tr",
"region:us"
] | 2023-12-30T12:34:22+00:00 | {"language": ["tr"], "size_categories": ["100K<n<1M"]} | 2024-01-03T15:53:21+00:00 | [] | [
"tr"
] | TAGS
#size_categories-100K<n<1M #language-Turkish #region-us
|
# SlimOrca-Dedup-Turkish
## SlimOrcaPart1:
## SlimOrcaPart2:
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bab760451fd16d7c2111284695e027d3deee67a5 |
English books from gutenberg.org with fiction tag and at least 25 downloads, split into paragraphs.
For license details see: https://www.gutenberg.org/policy/permission.html | sanps/GutenbergFiction | [
"language:en",
"region:us"
] | 2023-12-30T13:16:50+00:00 | {"language": ["en"], "dataset_info": {"features": [{"name": "file_id", "dtype": "string"}, {"name": "text_sub_id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "tokens", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1696432957, "num_examples": 393386}], "download_size": 1069041271, "... | 2023-12-30T13:36:03+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
|
English books from URL with fiction tag and at least 25 downloads, split into paragraphs.
For license details see: URL | [] | [
"TAGS\n#language-English #region-us \n"
] | [
10
] | [
"passage: TAGS\n#language-English #region-us \n"
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13684af030b2d314128affccbe24c1dd4bbf4edb |
# Dataset Card for Evaluation run of jeonsworld/CarbonVillain-en-10.7B-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [jeonsworld/CarbonVillain-en-10.7B-v2](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v2) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_jeonsworld__CarbonVillain-en-10.7B-v2 | [
"region:us"
] | 2023-12-30T14:12:30+00:00 | {"pretty_name": "Evaluation run of jeonsworld/CarbonVillain-en-10.7B-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [jeonsworld/CarbonVillain-en-10.7B-v2](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2023-12-30T14:12:54+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of jeonsworld/CarbonVillain-en-10.7B-v2
Dataset automatically created during the evaluation run of model jeonsworld/CarbonVillain-en-10.7B-v2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
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a80e73c6278d6ee4433959b50ed3b232bc90a5f0 | # Dataset Card for "detoxify"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/detoxify | [
"region:us"
] | 2023-12-30T14:15:38+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7872782, "num_examples": 2820}], "download_size": 4147804, "dataset_size": 7872782}, "configs": [{"config_name": "default", "da... | 2023-12-30T15:31:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "detoxify"
More Information needed | [
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783a891f1dbb1b6ec351b0f0c1169a06c98c70d6 | <!--
* @Description:
* @Author: shenlei
* @Modified: linhui
* @Date: 2023-12-19 10:31:41
* @LastEditTime: 2024-01-02 17:46:57
* @LastEditors: shenlei
-->
Leadboard
----------------------... | maidalun1020/CrosslingualMultiDomainsDataset | [
"license:apache-2.0",
"region:us"
] | 2023-12-30T14:34:44+00:00 | {"license": "apache-2.0", "configs": [{"config_name": "default", "data_files": [{"split": "dev", "path": "data/dev-*"}]}], "dataset_info": {"features": [{"name": "queries", "dtype": "string"}, {"name": "corpus", "dtype": "string"}, {"name": "relevant_docs", "dtype": "string"}, {"name": "mode", "dtype": "string"}, {"nam... | 2024-02-07T04:35:17+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Leadboard
!bce - 为RAG而生
---
BCEmbedding: Bilingual and Crosslingual Embedding for RAG
=========================================================
[Click to Open Contents
* [Bilingual and Crosslingual Superiority](#-bilingual-and-crosslingual-superiority)
* [Key Features](#-key-features)
* [Latest Updates](... | [
"### Installation\n\n\nFirst, create a conda environment and activate it.\n\n\nThen install 'BCEmbedding':\n\n\nOr install from source:",
"### Quick Start\n\n\nUse 'EmbeddingModel' by 'BCEmbedding', and 'cls' pooler is default.\n\n\nUse 'RerankerModel' by 'BCEmbedding' to calculate relevant scores and rerank:\n\n... | [
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9d8bc2e87510d8800666d1bf5e2db38995deb304 |
This is a derived collection of 3000 samples from the recognized [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) dataset, tailored to align with the prompt structure required by Llama 2.
| MohammadOthman/guanaco-llama2-3k | [
"region:us"
] | 2023-12-30T14:47:39+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4710307, "num_examples": 3000}], "download_size": 2785880, "dataset_size": 4710307}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-30T14:56:22+00:00 | [] | [] | TAGS
#region-us
|
This is a derived collection of 3000 samples from the recognized timdettmers/openassistant-guanaco dataset, tailored to align with the prompt structure required by Llama 2.
| [] | [
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eb2ef60dcb019088b9a45437f66728d469d5f9c7 |
# Dataset Card for Evaluation run of nlpguy/ColorShadow-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [nlpguy/ColorShadow-7B](https://huggingface.co/nlpguy/ColorShadow-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/... | open-llm-leaderboard/details_nlpguy__ColorShadow-7B | [
"region:us"
] | 2023-12-30T15:01:45+00:00 | {"pretty_name": "Evaluation run of nlpguy/ColorShadow-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [nlpguy/ColorShadow-7B](https://huggingface.co/nlpguy/ColorShadow-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe da... | 2023-12-30T15:02:16+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of nlpguy/ColorShadow-7B
Dataset automatically created during the evaluation run of model nlpguy/ColorShadow-7B on the 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)... | [
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1d6ec6b93591ac5e35646c445233ff3639a57ead |
# Dataset Card for Evaluation run of sr5434/CodegebraGPT-10b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [sr5434/CodegebraGPT-10b](https://huggingface.co/sr5434/CodegebraGPT-10b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingF... | open-llm-leaderboard/details_sr5434__CodegebraGPT-10b | [
"region:us"
] | 2023-12-30T15:21:09+00:00 | {"pretty_name": "Evaluation run of sr5434/CodegebraGPT-10b", "dataset_summary": "Dataset automatically created during the evaluation run of model [sr5434/CodegebraGPT-10b](https://huggingface.co/sr5434/CodegebraGPT-10b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\n... | 2024-01-05T01:31:54+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of sr5434/CodegebraGPT-10b
Dataset automatically created during the evaluation run of model sr5434/CodegebraGPT-10b on the 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 2 ru... | [
"# Dataset Card for Evaluation run of sr5434/CodegebraGPT-10b\n\n\n\nDataset automatically created during the evaluation run of model sr5434/CodegebraGPT-10b on the 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 creat... | [
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bcff027c60fcd1948379b5e819b4a4b0dfd943ab |
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v15.4
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-mixtral-8x7b-v15.4](https://huggingface.co/OpenBuddy/openbuddy-mixtral-8x7b-v15.4) on the [Open LLM Leader... | open-llm-leaderboard/details_OpenBuddy__openbuddy-mixtral-8x7b-v15.4 | [
"region:us"
] | 2023-12-30T15:34:42+00:00 | {"pretty_name": "Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v15.4", "dataset_summary": "Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-mixtral-8x7b-v15.4](https://huggingface.co/OpenBuddy/openbuddy-mixtral-8x7b-v15.4) on the [Open LLM Leaderboard](https://huggingface.co/sp... | 2023-12-30T15:35:02+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v15.4
Dataset automatically created during the evaluation run of model OpenBuddy/openbuddy-mixtral-8x7b-v15.4 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The data... | [
"# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v15.4\n\n\n\nDataset automatically created during the evaluation run of model OpenBuddy/openbuddy-mixtral-8x7b-v15.4 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.... | [
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80b8df230f36658fde8efca7be9f0e36b04fcb54 |
# Dataset Card for Evaluation run of kekmodel/StopCarbon-10.7B-v4
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kekmodel/StopCarbon-10.7B-v4](https://huggingface.co/kekmodel/StopCarbon-10.7B-v4) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_kekmodel__StopCarbon-10.7B-v4 | [
"region:us"
] | 2023-12-30T15:37:31+00:00 | {"pretty_name": "Evaluation run of kekmodel/StopCarbon-10.7B-v4", "dataset_summary": "Dataset automatically created during the evaluation run of model [kekmodel/StopCarbon-10.7B-v4](https://huggingface.co/kekmodel/StopCarbon-10.7B-v4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2023-12-30T15:37:52+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kekmodel/StopCarbon-10.7B-v4
Dataset automatically created during the evaluation run of model kekmodel/StopCarbon-10.7B-v4 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created... | [
"# Dataset Card for Evaluation run of kekmodel/StopCarbon-10.7B-v4\n\n\n\nDataset automatically created during the evaluation run of model kekmodel/StopCarbon-10.7B-v4 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has ... | [
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"# Dataset Card for Evaluation run of kekmodel/StopCarbon-10.7B-v4\n\n\n\nDataset automatically created during the evaluation run of model kekmodel/StopCarbon-10.7B-v4 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated ... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of kekmodel/StopCarbon-10.7B-v4\n\n\n\nDataset automatically created during the evaluation run of model kekmodel/StopCarbon-10.7B-v4 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluat... |
6197736f8d7c187ea7fe3fd675f5a09c033400ea |
Problem example:
Solution example:
| foldl/touch_some_grass | [
"region:us"
] | 2023-12-30T15:50:00+00:00 | {"dataset_info": {"features": [{"name": "problems", "dtype": "string"}, {"name": "solutions", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 231331, "num_examples": 109}], "download_size": 119759, "dataset_size": 231331}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "... | 2024-02-01T22:35:15+00:00 | [] | [] | TAGS
#region-us
|
Problem example:
!image/png
Solution example:
!image/png
| [] | [
"TAGS\n#region-us \n"
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d475a45b57eba79aa8ef0009b3e20cd90854bc6b | # Dataset Card for "autotrain-data-test-data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | peshkatari/autotrain-data-test-data | [
"region:us"
] | 2023-12-30T15:52:40+00:00 | {"dataset_info": {"features": [{"name": "autotrain_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14845, "num_examples": 43}, {"name": "validation", "num_bytes": 14845, "num_examples": 43}], "download_size": 12914, "dataset_size": 29690}, "configs": [{"config_name": "default", "data_files": [{"sp... | 2023-12-30T15:52:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotrain-data-test-data"
More Information needed | [
"# Dataset Card for \"autotrain-data-test-data\"\n\nMore Information needed"
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cad7850bc0a57b1bc9b2ddfd44ad230614c494df |
# Dataset card for sidewalk-imagery-clone
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset description](#dataset-description)
- [Dataset categories](#dataset-categories)
## Dataset description
- **Homepage:** https://segments.ai/Lit4pCol4b/sidewalk-imagery-clone
This dataset was created ... | Lit4pCol4b/sidewalk-imagery-clone | [
"task_categories:image-segmentation",
"region:us"
] | 2023-12-30T15:53:22+00:00 | {"task_categories": ["image-segmentation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 172437921.0, "num_exa... | 2023-12-31T01:48:31+00:00 | [] | [] | TAGS
#task_categories-image-segmentation #region-us
| Dataset card for sidewalk-imagery-clone
=======================================
Table of Contents
-----------------
* Table of Contents
* Dataset description
* Dataset categories
Dataset description
-------------------
* Homepage: URL
This dataset was created using URL. It can be found here.
Dataset categor... | [] | [
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"passage: TAGS\n#task_categories-image-segmentation #region-us \n"
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8573d32d20f8e352669dddb851d1d20e27a17c16 | # Dataset Card for "ffmperative_sample_5k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | salma-remyx/ffmperative_sample_5k | [
"region:us"
] | 2023-12-30T15:56:22+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1948807, "num_examples": 5000}], "download_size": 599304, "dataset_size": 1948807}} | 2023-12-30T15:56:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ffmperative_sample_5k"
More Information needed | [
"# Dataset Card for \"ffmperative_sample_5k\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"ffmperative_sample_5k\"\n\nMore Information needed"
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9507b4e0c55c76d17906c3b6d68e1c950f9365c6 |
# Dataset Card for Evaluation run of kekmodel/StopCarbon-10.7B-v5
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kekmodel/StopCarbon-10.7B-v5](https://huggingface.co/kekmodel/StopCarbon-10.7B-v5) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_kekmodel__StopCarbon-10.7B-v5 | [
"region:us"
] | 2023-12-30T16:12:26+00:00 | {"pretty_name": "Evaluation run of kekmodel/StopCarbon-10.7B-v5", "dataset_summary": "Dataset automatically created during the evaluation run of model [kekmodel/StopCarbon-10.7B-v5](https://huggingface.co/kekmodel/StopCarbon-10.7B-v5) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2023-12-30T16:27:45+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kekmodel/StopCarbon-10.7B-v5
Dataset automatically created during the evaluation run of model kekmodel/StopCarbon-10.7B-v5 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created... | [
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94dbad22b5d2503b0bc6962e840d34600b5e0b1e |
# Dataset Card for Evaluation run of DopeorNope/SOLARC-MOE-10.7Bx6
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [DopeorNope/SOLARC-MOE-10.7Bx6](https://huggingface.co/DopeorNope/SOLARC-MOE-10.7Bx6) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_DopeorNope__SOLARC-MOE-10.7Bx6 | [
"region:us"
] | 2023-12-30T16:12:37+00:00 | {"pretty_name": "Evaluation run of DopeorNope/SOLARC-MOE-10.7Bx6", "dataset_summary": "Dataset automatically created during the evaluation run of model [DopeorNope/SOLARC-MOE-10.7Bx6](https://huggingface.co/DopeorNope/SOLARC-MOE-10.7Bx6) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2023-12-30T16:12:57+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of DopeorNope/SOLARC-MOE-10.7Bx6
Dataset automatically created during the evaluation run of model DopeorNope/SOLARC-MOE-10.7Bx6 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been creat... | [
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f0a2894eba366f2172580bd316316e8441bf9eec |
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v16.2-32k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-mixtral-8x7b-v16.2-32k](https://huggingface.co/OpenBuddy/openbuddy-mixtral-8x7b-v16.2-32k) on the [Ope... | open-llm-leaderboard/details_OpenBuddy__openbuddy-mixtral-8x7b-v16.2-32k | [
"region:us"
] | 2023-12-30T16:15:56+00:00 | {"pretty_name": "Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v16.2-32k", "dataset_summary": "Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-mixtral-8x7b-v16.2-32k](https://huggingface.co/OpenBuddy/openbuddy-mixtral-8x7b-v16.2-32k) on the [Open LLM Leaderboard](https://huggi... | 2023-12-30T16:16:16+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v16.2-32k
Dataset automatically created during the evaluation run of model OpenBuddy/openbuddy-mixtral-8x7b-v16.2-32k on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
... | [
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c9fbefec90b10fda261ab03804e068d33e72b2b6 | # CanariaView Global Copper Demand Forecasting Dataset
## Description
This dataset encompasses economic and industrial indicators vital for constructing a copper demand forecasting model.
Coverage Period: Monthly data from January 1995 to March 2023, encompassing a total of 339 months.
Column Descriptions and Source... | CanariaView/GlobalCopperDemandForecastingDataset | [
"task_categories:time-series-forecasting",
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"mining",
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"CanariaView",
"region:us"
] | 2023-12-30T16:17:42+00:00 | {"language": ["en", "ko"], "task_categories": ["time-series-forecasting"], "tags": ["mining", "LSTM", "TimeSeries", "CanariaView"]} | 2023-12-30T16:52:21+00:00 | [] | [
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"ko"
] | TAGS
#task_categories-time-series-forecasting #language-English #language-Korean #mining #LSTM #TimeSeries #CanariaView #region-us
| # CanariaView Global Copper Demand Forecasting Dataset
## Description
This dataset encompasses economic and industrial indicators vital for constructing a copper demand forecasting model.
Coverage Period: Monthly data from January 1995 to March 2023, encompassing a total of 339 months.
Column Descriptions and Source... | [
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8ea1f6dbcb1a7a57b48a74325063904a1f12f481 |
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v16.1-32k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-mixtral-8x7b-v16.1-32k](https://huggingface.co/OpenBuddy/openbuddy-mixtral-8x7b-v16.1-32k) on the [Ope... | open-llm-leaderboard/details_OpenBuddy__openbuddy-mixtral-8x7b-v16.1-32k | [
"region:us"
] | 2023-12-30T16:19:12+00:00 | {"pretty_name": "Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v16.1-32k", "dataset_summary": "Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-mixtral-8x7b-v16.1-32k](https://huggingface.co/OpenBuddy/openbuddy-mixtral-8x7b-v16.1-32k) on the [Open LLM Leaderboard](https://huggi... | 2023-12-30T16:19:31+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v16.1-32k
Dataset automatically created during the evaluation run of model OpenBuddy/openbuddy-mixtral-8x7b-v16.1-32k on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
... | [
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538c88a39dad98b8e3df71f148b28d1136260fb1 |
# MetaMath Dataset with "{"original_question": original_question, "paraphrased_question": paraphrased_question, "answer_detail": answer_detail}" pairs.
# 💻 Dataset Usage
Run the following command to load the data:
```python
from datasets import load_dataset
dataset = load_dataset("shuyuej/CleanedMetaMathQA")
datase... | shuyuej/CleanedMetaMathQA | [
"license:apache-2.0",
"region:us"
] | 2023-12-30T16:38:05+00:00 | {"license": "apache-2.0"} | 2024-01-25T19:43:58+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# MetaMath Dataset with "{"original_question": original_question, "paraphrased_question": paraphrased_question, "answer_detail": answer_detail}" pairs.
# Dataset Usage
Run the following command to load the data:
# Dataset modification codes
| [
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] |
23dc17712316587002156468b3c7e745463b0c8e |
# Dataset Card for Evaluation run of jeonsworld/CarbonVillain-en-10.7B-v3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [jeonsworld/CarbonVillain-en-10.7B-v3](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v3) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_jeonsworld__CarbonVillain-en-10.7B-v3 | [
"region:us"
] | 2023-12-30T16:51:58+00:00 | {"pretty_name": "Evaluation run of jeonsworld/CarbonVillain-en-10.7B-v3", "dataset_summary": "Dataset automatically created during the evaluation run of model [jeonsworld/CarbonVillain-en-10.7B-v3](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2023-12-30T16:52:18+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of jeonsworld/CarbonVillain-en-10.7B-v3
Dataset automatically created during the evaluation run of model jeonsworld/CarbonVillain-en-10.7B-v3 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
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86e74111e73d95ecfb69de292c614d521234fb76 | # CanariaView Global Copper Supply Forecasting Dataset
## Description
This dataset encompasses economic and industrial indicators vital for constructing a copper supply forecasting model.
Coverage Period: Monthly data from January 2000 to March 2023, encompassing a total of 279 months.
Column Descriptions and Sourc... | CanariaView/GlobalCopperSupplyForecastingDataset | [
"task_categories:time-series-forecasting",
"language:en",
"language:ko",
"mining",
"LSTM",
"TimeSeries",
"CanariaView",
"region:us"
] | 2023-12-30T17:03:56+00:00 | {"language": ["en", "ko"], "task_categories": ["time-series-forecasting"], "tags": ["mining", "LSTM", "TimeSeries", "CanariaView"]} | 2023-12-30T17:21:30+00:00 | [] | [
"en",
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] | TAGS
#task_categories-time-series-forecasting #language-English #language-Korean #mining #LSTM #TimeSeries #CanariaView #region-us
| # CanariaView Global Copper Supply Forecasting Dataset
## Description
This dataset encompasses economic and industrial indicators vital for constructing a copper supply forecasting model.
Coverage Period: Monthly data from January 2000 to March 2023, encompassing a total of 279 months.
Column Descriptions and Sourc... | [
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6fd0da19baf24f9cfa4ac91236fcebb9ffbeb91b | # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned datase... | cleanrl/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia-160m_53 | [
"region:us"
] | 2023-12-30T17:04:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "query_token", "sequence": "int64"}, {"name": "query", "dtype": "string"}, {"name": "ref... | 2023-12-30T17:04:57+00:00 | [] | [] | TAGS
#region-us
| # TL;DR SFT Dataset for OpenAI's Summarize from Feedback task
The dataset is directly taken from URL
These columns are taken directly from the aforementioned dataset:
* id: unique identifier for the post
* subreddit: subreddit the post was taken from
* title: title of the post
* post: body of the post
* summary: sum... | [
"# TL;DR SFT Dataset for OpenAI's Summarize from Feedback task\n\nThe dataset is directly taken from URL\n\nThese columns are taken directly from the aforementioned dataset:\n\n* id: unique identifier for the post\n* subreddit: subreddit the post was taken from\n* title: title of the post\n* post: body of the post\... | [
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3fa20b8a1cc025522ff43684986aace0b9bd372f | # Dataset Card for "summarize_from_feedback_oai_preprocessing_pythia-160m_169"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cleanrl/summarize_from_feedback_oai_preprocessing_pythia-160m_169 | [
"region:us"
] | 2023-12-30T17:05:17+00:00 | {"dataset_info": {"features": [{"name": "info", "struct": [{"name": "id", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, {"name": "summaries", "list": ... | 2023-12-30T17:05:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_oai_preprocessing_pythia-160m_169"
More Information needed | [
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7df1c3bf4645ff41f03d2171d2875e7620f44ba5 |
# Dataset Card for Evaluation run of mlabonne/Marcoro14-7B-slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [mlabonne/Marcoro14-7B-slerp](https://huggingface.co/mlabonne/Marcoro14-7B-slerp) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_shadowml__Marcoro14-7B-slerp | [
"region:us"
] | 2023-12-30T17:10:07+00:00 | {"pretty_name": "Evaluation run of mlabonne/Marcoro14-7B-slerp", "dataset_summary": "Dataset automatically created during the evaluation run of model [mlabonne/Marcoro14-7B-slerp](https://huggingface.co/mlabonne/Marcoro14-7B-slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-04T13:55:12+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of mlabonne/Marcoro14-7B-slerp
Dataset automatically created during the evaluation run of model mlabonne/Marcoro14-7B-slerp on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created f... | [
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17a4fcb234194700797c584ad1a32e84a29922b9 | # Dataset Card for "semantic_fragments_nli"
https://github.com/yakazimir/semantic_fragments
https://arxiv.org/pdf/1909.07521.pdf
```bib
@article{Richardson2019ProbingNL,
title={Probing Natural Language Inference Models through Semantic Fragments},
author={Kyle Richardson and Hai Hu and Lawrence S. Moss and Ashish... | tasksource/semantic_fragments_nli | [
"arxiv:1909.07521",
"region:us"
] | 2023-12-30T17:32:11+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "dev", "path": "data/dev-*"}]}], "dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "gold_label",... | 2023-12-30T17:43:34+00:00 | [
"1909.07521"
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#arxiv-1909.07521 #region-us
| # Dataset Card for "semantic_fragments_nli"
URL
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# Dataset Card for Evaluation run of tokyotech-llm/Swallow-70b-instruct-hf
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [tokyotech-llm/Swallow-70b-instruct-hf](https://huggingface.co/tokyotech-llm/Swallow-70b-instruct-hf) on the [Open LLM Leaderboa... | open-llm-leaderboard/details_tokyotech-llm__Swallow-70b-instruct-hf | [
"region:us"
] | 2023-12-30T17:34:19+00:00 | {"pretty_name": "Evaluation run of tokyotech-llm/Swallow-70b-instruct-hf", "dataset_summary": "Dataset automatically created during the evaluation run of model [tokyotech-llm/Swallow-70b-instruct-hf](https://huggingface.co/tokyotech-llm/Swallow-70b-instruct-hf) on the [Open LLM Leaderboard](https://huggingface.co/space... | 2023-12-30T17:34:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of tokyotech-llm/Swallow-70b-instruct-hf
Dataset automatically created during the evaluation run of model tokyotech-llm/Swallow-70b-instruct-hf on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The datase... | [
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28352f4f6df31fdd06305d6b08d12c5e7c71499a |
# Dataset Card for [code2test]
## Dataset Description
### Dataset Summary
This dataset is designed to generate unit tests from provided Java source code.
## Dataset Creation
1. Gather all Java projects from GitHub that have more than 5 stars.
2. Extract code-test pairs from all these projects.
3. Remove duplicate... | zzzghttt/code2test | [
"license:apache-2.0",
"region:us"
] | 2023-12-30T17:36:43+00:00 | {"license": "apache-2.0"} | 2024-01-06T11:46:55+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for [code2test]
## Dataset Description
### Dataset Summary
This dataset is designed to generate unit tests from provided Java source code.
## Dataset Creation
1. Gather all Java projects from GitHub that have more than 5 stars.
2. Extract code-test pairs from all these projects.
3. Remove duplicate... | [
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8a529418240ccf1be1ab2520ba4661894087f189 | ###Instruction:
1)You're an empathy therapist and you Help with addiction issues, encourage healthy coping.
2)refer to professionals as needed.
3)Your primary function is to reply like identifying, understanding, and challenging their cognitive distortions and unhealthy addiction over drugs & alcohol.
4)Keep the r... | Ram07/Emp-dialog-w-new-instruct-1 | [
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"region:us"
] | 2023-12-30T17:38:57+00:00 | {"license": "mit"} | 2023-12-30T17:42:28+00:00 | [] | [] | TAGS
#license-mit #region-us
| ###Instruction:
1)You're an empathy therapist and you Help with addiction issues, encourage healthy coping.
2)refer to professionals as needed.
3)Your primary function is to reply like identifying, understanding, and challenging their cognitive distortions and unhealthy addiction over drugs & alcohol.
4)Keep the r... | [] | [
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afb653587c4c901a5d2a18eba04e538f5abeaf62 | # Dataset Card for "cszs_fr_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ky552/cszs_fr_en | [
"region:us"
] | 2023-12-30T17:40:45+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "dev", "path": "data/dev-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "correct_audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "correct_transcription",... | 2023-12-30T19:01:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cszs_fr_en"
More Information needed | [
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540da5822f07209d3f309a72a2275118c9c93be8 |
# Dataset Card for Evaluation run of nlpguy/ColorShadow-7B-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [nlpguy/ColorShadow-7B-v2](https://huggingface.co/nlpguy/ColorShadow-7B-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggi... | open-llm-leaderboard/details_nlpguy__ColorShadow-7B-v2 | [
"region:us"
] | 2023-12-30T17:41:57+00:00 | {"pretty_name": "Evaluation run of nlpguy/ColorShadow-7B-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [nlpguy/ColorShadow-7B-v2](https://huggingface.co/nlpguy/ColorShadow-7B-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2023-12-30T17:42:18+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of nlpguy/ColorShadow-7B-v2
Dataset automatically created during the evaluation run of model nlpguy/ColorShadow-7B-v2 on the 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 ... | [
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018e84c8ba09943b7496ca8df6ebc63df46db03f | # Dataset Card for "vocalset_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/vocalset_extract_unit | [
"region:us"
] | 2023-12-30T17:55:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2023-12-30T17:56:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vocalset_extract_unit"
More Information needed | [
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e1ee9c7d3f158334df8fac813d484e07ed7cd9bc |
# Dataset Card for Evaluation run of L-R/LLmRA-3B-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [L-R/LLmRA-3B-v0.1](https://huggingface.co/L-R/LLmRA-3B-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_lea... | open-llm-leaderboard/details_L-R__LLmRA-3B-v0.1 | [
"region:us"
] | 2023-12-30T18:22:20+00:00 | {"pretty_name": "Evaluation run of L-R/LLmRA-3B-v0.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [L-R/LLmRA-3B-v0.1](https://huggingface.co/L-R/LLmRA-3B-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is com... | 2023-12-30T18:22:44+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of L-R/LLmRA-3B-v0.1
Dataset automatically created during the evaluation run of model L-R/LLmRA-3B-v0.1 on the 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 r... | [
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# Dataset Card for Evaluation run of jeonsworld/CarbonVillain-en-10.7B-v4
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [jeonsworld/CarbonVillain-en-10.7B-v4](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v4) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_jeonsworld__CarbonVillain-en-10.7B-v4 | [
"region:us"
] | 2023-12-30T18:33:25+00:00 | {"pretty_name": "Evaluation run of jeonsworld/CarbonVillain-en-10.7B-v4", "dataset_summary": "Dataset automatically created during the evaluation run of model [jeonsworld/CarbonVillain-en-10.7B-v4](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2023-12-30T18:33:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of jeonsworld/CarbonVillain-en-10.7B-v4
Dataset automatically created during the evaluation run of model jeonsworld/CarbonVillain-en-10.7B-v4 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
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# Dataset Card for Evaluation run of NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story](https://huggingface.co/NeuralNovel/Mistral-7B-Instruct-v0.2-Neur... | open-llm-leaderboard/details_NeuralNovel__Mistral-7B-Instruct-v0.2-Neural-Story | [
"region:us"
] | 2023-12-30T18:56:20+00:00 | {"pretty_name": "Evaluation run of NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story", "dataset_summary": "Dataset automatically created during the evaluation run of model [NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story](https://huggingface.co/NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story) on the [Open LLM Leade... | 2023-12-30T18:56:53+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
Dataset automatically created during the evaluation run of model NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the eva... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story\n\n\n\nDataset automatically created during the evaluation run of model NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, e... |
925d542debb108770fe9802f18252d8bca26e70f | # Dataset Card for "SpaRTUN"
https://github.com/HLR/SpaRTUN
```bib
@inproceedings{mirzaee-kordjamshidi-2022-transfer,
title = "Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning",
author = "Mirzaee, Roshanak and
Kordjamshidi, Parisa",
booktitle = "Proceedings of the 202... | tasksource/SpaRTUN | [
"region:us"
] | 2023-12-30T19:08:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "dev", "path": "data/dev-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "story", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "q_type", "dtype":... | 2024-01-03T09:02:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SpaRTUN"
URL
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af1de4db85517821a938069ce2d72153bfae4d4d | # Dataset Card for "ReSQ"
https://github.com/HLR/SpaRTUN
```bib
@inproceedings{mirzaee-kordjamshidi-2022-transfer,
title = "Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning",
author = "Mirzaee, Roshanak and
Kordjamshidi, Parisa",
booktitle = "Proceedings of the 2022 C... | tasksource/ReSQ | [
"region:us"
] | 2023-12-30T19:17:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "dev", "path": "data/dev-*"}]}], "dataset_info": {"features": [{"name": "story", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "q_type", "dtype": "string"}, {"name": "answer", "sequence":... | 2024-01-03T09:02:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ReSQ"
URL
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407c100a90f0cd78ece0e52a3ea325127da11524 | This is a replacement for the folder https://huggingface.co/datasets/styletts2-community/multilingual-pl-bert/tree/main/be. I haven't changed `input_ids`, only `phonemes`. ~95% of all transcriptions were amended where appropriate; the remaining ~5% were copied (with minor changes in notation) from the original version ... | somerandomguyontheweb/multilingual-pl-bert-be-updated | [
"region:us"
] | 2023-12-30T19:46:26+00:00 | {} | 2023-12-31T09:00:52+00:00 | [] | [] | TAGS
#region-us
| This is a replacement for the folder URL I haven't changed 'input_ids', only 'phonemes'. ~95% of all transcriptions were amended where appropriate; the remaining ~5% were copied (with minor changes in notation) from the original version of the dataset.
A few caveats:
- My amended transcriptions are based on the output... | [] | [
"TAGS\n#region-us \n"
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6
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bb36e7f1dfcc1e8b50bca29f8d69ef839719e718 | # Dataset Card for "train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ayaat/train | [
"region:us"
] | 2023-12-30T19:56:12+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Response", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train",... | 2023-12-30T20:10:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "train"
More Information needed | [
"# Dataset Card for \"train\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"train\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"train\"\n\nMore Information needed"
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257dfb8548a0426a2bb56e1cd877721ac7d0a15e | # Dataset Card for "trivia_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jxie/trivia_qa | [
"region:us"
] | 2023-12-30T20:27:38+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 24322980, "num_examp... | 2024-01-03T04:46:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "trivia_qa"
More Information needed | [
"# Dataset Card for \"trivia_qa\"\n\nMore Information needed"
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dec9d84ec096433acf09dd97b612c5a82022fd1a |
# Dataset Card for VECHR
### Dataset Summary
[From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification](https://arxiv.org/pdf/2310.11878.pdf)
In legal NLP, Case Outcome Classification (COC) must not only be accurate but also trustworthy and explainable. Existing... | sxu/RaVE_emnlp23 | [
"size_categories:n<1K",
"language:en",
"license:afl-3.0",
"legal",
"arxiv:2310.11878",
"region:us"
] | 2023-12-30T20:34:35+00:00 | {"language": ["en"], "license": "afl-3.0", "size_categories": ["n<1K"], "tags": ["legal"]} | 2023-12-30T20:37:48+00:00 | [
"2310.11878"
] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #license-afl-3.0 #legal #arxiv-2310.11878 #region-us
|
# Dataset Card for VECHR
### Dataset Summary
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification
In legal NLP, Case Outcome Classification (COC) must not only be accurate but also trustworthy and explainable. Existing work in explainable COC has been limite... | [
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9c26a41e5ced3f7ff251ef5cecb47fef94e08d31 | # Dataset Card for "natural_questions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jxie/natural_questions | [
"region:us"
] | 2023-12-30T20:35:45+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6059360, "num_examples"... | 2024-01-02T02:04:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "natural_questions"
More Information needed | [
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86f7314659dac5d654e5ec7663d1964ac47492e8 |
Molecular dataset: 10,000 TYK2 inhibitors (SMILES strings) with Docking scores and Relative Binding Free Energy (dG)
Dataset from paper:
James Thompson, W Patrick Walters, Jianwen A Feng, Nicolas A Pabon, Hongcheng Xu, Michael Maser, Brian B Goldman, Demetri Moustakas, Molly Schmidt, Forrest York,
Optimizing acti... | pvrancx/tyk2_fep | [
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"molecule",
"chemistry",
"smiles",
"free_energy",
"region:us"
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#size_categories-1K<n<10K #license-apache-2.0 #molecule #chemistry #smiles #free_energy #region-us
|
Molecular dataset: 10,000 TYK2 inhibitors (SMILES strings) with Docking scores and Relative Binding Free Energy (dG)
Dataset from paper:
James Thompson, W Patrick Walters, Jianwen A Feng, Nicolas A Pabon, Hongcheng Xu, Michael Maser, Brian B Goldman, Demetri Moustakas, Molly Schmidt, Forrest York,
Optimizing acti... | [] | [
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7cf01279456346071d10f2641dabcda206abdeaf |
# Dataset Card for Motivational Quotes
This is a dataset of motivational quotes, scraped from [Goodreads](https://www.goodreads.com/quotes/). It contains more than 4000 quotes, each of them labeled with the corresponding author.
## Data overview
The `quotes` subset contains the raw quotes and the corresponding aut... | asuender/motivational-quotes | [
"task_categories:text-classification",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"region:us"
] | 2023-12-30T20:40:33+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification", "text-generation"], "configs": [{"config_name": "quotes", "data_files": "quotes.jsonl"}, {"config_name": "quotes_extended", "data_files": "quotes_extended.jsonl"}]} | 2023-12-31T12:15:47+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-text-generation #size_categories-1K<n<10K #language-English #license-cc #region-us
|
# Dataset Card for Motivational Quotes
This is a dataset of motivational quotes, scraped from Goodreads. It contains more than 4000 quotes, each of them labeled with the corresponding author.
## Data overview
The 'quotes' subset contains the raw quotes and the corresponding authors. The 'quotes_extended' subset co... | [
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80fae759513d8b04f583877bdfef4391e2caa27b | # Dataset Card for "test_startup_advice_25k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | salma-remyx/test_startup_advice_25k | [
"region:us"
] | 2023-12-30T22:51:27+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28719928, "num_examples": 24503}], "download_size": 16655838, "dataset_size": 28719928}} | 2024-01-01T06:44:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_startup_advice_25k"
More Information needed | [
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4fa075e3fdde20d18321c6ecb8aba626362a38af | # Dataset Card for "ffmperative_refined_5.5k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | salma-remyx/ffmperative_refined_5.5k | [
"region:us"
] | 2023-12-30T23:15:15+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3277970, "num_examples": 5565}], "download_size": 1001170, "dataset_size": 3277970}} | 2023-12-30T23:15:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ffmperative_refined_5.5k"
More Information needed | [
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a850ba851a0354d8c96c585a3613e490b305d813 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset is a mix of the Capybara, Open-Platypus-Commercial and Wizard-Vicuna-Unfiltered datasets. As such, it can be used for commercial purposes. These base datasets provide a strong reasoning background on multiple fields of huma... | Thermostatic/flowers | [
"license:mit",
"region:us"
] | 2023-12-30T23:55:16+00:00 | {"license": "mit"} | 2023-12-31T00:00:48+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Dataset Card for Dataset Name
This dataset is a mix of the Capybara, Open-Platypus-Commercial and Wizard-Vicuna-Unfiltered datasets. As such, it can be used for commercial purposes. These base datasets provide a strong reasoning background on multiple fields of human knowledge, and that's why I chose all of these... | [
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c902d51d36a02e6cb741a29c69ee0d8873cd672b |
# Pseudolabel Nusantara audiobooks using Whisper Large V3
Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/speech-to-text-semisupervised/nusantara-audiobook
1. Split based on 3 utterances using WebRTC VAD.
## how-to
Download files,
```bash
wget https://huggingface.co/datasets/mesolitica/nu... | mesolitica/nusantara-audiobook | [
"task_categories:automatic-speech-recognition",
"task_categories:text-to-speech",
"language:ms",
"region:us"
] | 2023-12-31T00:20:34+00:00 | {"language": ["ms"], "task_categories": ["automatic-speech-recognition", "text-to-speech"]} | 2024-01-01T04:17:47+00:00 | [] | [
"ms"
] | TAGS
#task_categories-automatic-speech-recognition #task_categories-text-to-speech #language-Malay (macrolanguage) #region-us
|
# Pseudolabel Nusantara audiobooks using Whisper Large V3
Notebooks at URL
1. Split based on 3 utterances using WebRTC VAD.
## how-to
Download files,
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c9aa958bb26a9c89e1c0af9e10a07b5472e8efc4 | <h1>
<img alt="RH" src="./icon.png" style="display:inline-block; vertical-align:middle" />
Pedagogical Machine Translation (Dialect) dataset: the filtered Canadian Hansard Dataset.
</h1>
The Canadian [Hansard](https://www.ourcommons.ca/documentviewer/en/35-2/house/hansard-index) is an archive of parliamentary ses... | raeidsaqur/Hansard | [
"task_categories:translation",
"size_categories:100K<n<1M",
"language:en",
"language:fr",
"license:mit",
"region:us"
] | 2023-12-31T02:03:33+00:00 | {"language": ["en", "fr"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["translation"], "pretty_name": "hansard"} | 2024-01-01T01:12:00+00:00 | [] | [
"en",
"fr"
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#task_categories-translation #size_categories-100K<n<1M #language-English #language-French #license-mit #region-us
| <h1>
<img alt="RH" src="./URL" style="display:inline-block; vertical-align:middle" />
Pedagogical Machine Translation (Dialect) dataset: the filtered Canadian Hansard Dataset.
</h1>
The Canadian Hansard is an archive of parliamentary sessions in the two official languages in Canada - English and Franch.
## Tab... | [
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fc7ca40ba290bf9a9bd346d95f988795054acdfe |
# Dataset Card for QUEST
## Dataset Description
- **Repository: https://github.com/google-research/language/tree/master/language/quest**
- **Paper: https://arxiv.org/abs/2305.11694**
- **Point of Contact: chaitanyamalaviya@gmail.com**
### Dataset Summary
We provide here the data accompanying the paper: [QUEST: ... | cmalaviya/quest | [
"task_categories:text-retrieval",
"annotations_creators:wikipedia-sourced",
"size_categories:1K<n<10K",
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"language:en",
"license:apache-2.0",
"arxiv:2305.11694",
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|
# Dataset Card for QUEST
## Dataset Description
- Repository: URL
- Paper: URL
- Point of Contact: chaitanyamalaviya@URL
### Dataset Summary
We provide here the data accompanying the paper: QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations
.
## Dataset Structure
### Data Instan... | [
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"### Dataset Summary\n\nWe provide here the data accompanying the paper: QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations\n.",
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5a816b9184d0a65434acbf7d97400baa00f4608c |
# Dataset Card for Evaluation run of sequelbox/SpellBlade
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [sequelbox/SpellBlade](https://huggingface.co/sequelbox/SpellBlade) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_sequelbox__SpellBlade | [
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|
# Dataset Card for Evaluation run of sequelbox/SpellBlade
Dataset automatically created during the evaluation run of model sequelbox/SpellBlade on the 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). ... | [
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a32a78cb90b386baf6aba9a41d5724a9c4acca62 | # Dataset Card for "aug_train0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_0 | [
"region:us"
] | 2023-12-31T04:12:58+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 362075593.1, "num_examples": 2700}, {"name": "test", "num_bytes": 39466506.0, "num_examples": 300}],... | 2024-01-02T05:57:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "aug_train0"
More Information needed | [
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cb720f24c17100aaa64cad6fb55b66b19586fac6 |
# About this dataset
This dataset is a machine translation of the [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) dataset with Palm 2 (prompt for translation is pasted below).
I hope this dataset can be used for LLM developers, especially Japanese LLM developers.
# Lisence
The license ... | yongtae-jp/orca_dpo_pairs_ja | [
"task_categories:text-generation",
"language:ja",
"license:apache-2.0",
"region:us"
] | 2023-12-31T04:18:18+00:00 | {"language": ["ja"], "license": "apache-2.0", "task_categories": ["text-generation"], "pretty_name": "k", "dataset_info": {"features": [{"name": "system", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "tr... | 2024-01-09T07:51:36+00:00 | [] | [
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#task_categories-text-generation #language-Japanese #license-apache-2.0 #region-us
|
# About this dataset
This dataset is a machine translation of the Intel/orca_dpo_pairs dataset with Palm 2 (prompt for translation is pasted below).
I hope this dataset can be used for LLM developers, especially Japanese LLM developers.
# Lisence
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e28cdcbfd1fcad36ed1e395ff26dba59a18ea6db | data source: https://github.com/StonyBrookNLP/BioNLI | hippocrates/BioNLI_train | [
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b0dc25d224b689c5f0b24023071c33f3e8ca6221 |
# GPT2-PretrainV1-en
### Dataset Description
Small dataset designed to test knowledge distillation from GPT2 models into smaller useful models. This is meant for pretraining a smaller model.
This dataset will hopefully give the model a general understand of a broad range of information.
### Dataset Sources
This ... | terrycraddock/GPT2-PretrainV1-en | [
"license:mit",
"region:us"
] | 2023-12-31T06:34:18+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "text", "dtype": "large_string"}], "splits": [{"name": "train", "num_bytes": 10223971287.488651, "num_examples": 32136787}, {"name": "test", "num_bytes": 1135997092.5113497, "num_examples": 3570755}], "download_size": 7440940192, "dataset_size": 11359968380.0}, ... | 2023-12-31T13:33:30+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# GPT2-PretrainV1-en
### Dataset Description
Small dataset designed to test knowledge distillation from GPT2 models into smaller useful models. This is meant for pretraining a smaller model.
This dataset will hopefully give the model a general understand of a broad range of information.
### Dataset Sources
This ... | [
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0ad6c4c530ca261efc867f2dcbf64057db55ef8d | Generated CoT reasoning data using GPT4 based on "zeroshot/twitter-financial-news-sentiment" data(https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment/viewer/default/train?p=1).
This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone project... | yc4142/stockmarketCoT | [
"region:us"
] | 2023-12-31T06:36:14+00:00 | {} | 2023-12-31T06:46:28+00:00 | [] | [] | TAGS
#region-us
| Generated CoT reasoning data using GPT4 based on "zeroshot/twitter-financial-news-sentiment" data(URL
This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. | [] | [
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aec30ea0095d86df84b4214f4c8d646111bf8d1f | Generated Non CoT data based on "zeroshot/twitter-financial-news-sentiment" data(https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment/viewer/default/train?p=1).
This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to stud... | yc4142/stockmarket_nonCoT | [
"region:us"
] | 2023-12-31T06:41:54+00:00 | {} | 2023-12-31T06:46:02+00:00 | [] | [] | TAGS
#region-us
| Generated Non CoT data based on "zeroshot/twitter-financial-news-sentiment" data(URL
This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. | [] | [
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314abfac15966c110cf856d8f538207a00b927a3 | Generated CoT reasoning data using GPT4 based on "zeroshot/twitter-financial-news-sentiment" data(https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment/viewer/default/train?p=1). This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projecte... | yc4142/stockmarket-CoT | [
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] | 2023-12-31T06:49:24+00:00 | {} | 2023-12-31T06:50:49+00:00 | [] | [] | TAGS
#region-us
| Generated CoT reasoning data using GPT4 based on "zeroshot/twitter-financial-news-sentiment" data(URL This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. | [] | [
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858aa015222e032d1568cee6bb3f693d3d53b8d7 | Generated Non CoT data based on "zeroshot/twitter-financial-news-sentiment" data(https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment/viewer/default/train?p=1). This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to stud... | yc4142/stockmarket-nonCoT | [
"region:us"
] | 2023-12-31T06:50:07+00:00 | {} | 2023-12-31T06:51:06+00:00 | [] | [] | TAGS
#region-us
| Generated Non CoT data based on "zeroshot/twitter-financial-news-sentiment" data(URL This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. | [] | [
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792c3529f2ae535c2b8986e7d0051dcd87d44d40 | Earth and Dusk Vae
---
Merged Vae for Testing, liked the output.
File name does not mean it it will be the end of it, there may be blessups left to do to it for tweaking.
# Join us on our journey
## Website: https://www.end-media.org
## Discord: :https://discord.gg/5t2kYxt7An
## Backups: https://huggingface.co/E... | EarthnDusk/END-VAE-FINAL | [
"license:creativeml-openrail-m",
"region:us"
] | 2023-12-31T06:56:13+00:00 | {"license": "creativeml-openrail-m"} | 2024-01-01T00:35:52+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| Earth and Dusk Vae
---
Merged Vae for Testing, liked the output.
File name does not mean it it will be the end of it, there may be blessups left to do to it for tweaking.
# Join us on our journey
## Website: URL
## Discord: :URL
## Backups: URL
## Send a Pizza to Dusk: URL
## Send a Pizza to Earth: URL
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138f27408cb05596e06cedb79abeb0b174f2d255 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | hoshangc/google_search_terms_training_data | [
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|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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23fd42c04578baf5b093f10dc4c71cda9f524556 | extracted content from various website articles using code from [FinNLP](https://github.com/AI4Finance-Foundation/FinNLP)
and generated questions and answers with OpenAI API **gpt3.5-turbo-16k** | sherelyn912/finnews_en_2wk_qa | [
"region:us"
] | 2023-12-31T08:44:50+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 310555.2191464821, "num_examples": 1387}, {"name": "test", "num_bytes": 77694.78085351788, "num_examples": 347}], "download_size": 182095, "dataset_size": 388250.0}, "configs": [{"config_name": "default", "dat... | 2024-01-02T10:21:26+00:00 | [] | [] | TAGS
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306012130014fc646709c2fba95ce3057da13787 |
Source - https://www.dropbox.com/s/omintwb3k2h46kk/passport_dataset.zip | sizhkhy/passports | [
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"size_categories:n<1K",
"language:en",
"license:mit",
"kyc",
"passports",
"region:us"
] | 2023-12-31T09:07:25+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["visual-question-answering"], "pretty_name": "Passports", "tags": ["kyc", "passports"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label_string", "sequence": "string"}, {"name": "words", "sequence":... | 2023-12-31T09:23:52+00:00 | [] | [
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fe839175aec5e99d301c4528441cc9dfb84af367 | # ArzEn-MultiGenre: A Comprehensive Parallel Dataset
## Overview
ArzEn-MultiGenre is a distinctive parallel dataset that encompasses a diverse collection of Egyptian Arabic content. This collection includes song lyrics, novels, and TV show subtitles, all of which have been meticulously translated and aligned with thei... | HeshamHaroon/ArzEn-MultiGenre | [
"task_categories:translation",
"size_categories:1K<n<10K",
"language:ar",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-12-31T09:13:46+00:00 | {"language": ["ar", "en"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["translation"]} | 2023-12-31T14:41:09+00:00 | [] | [
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8ef93f1f7fedb17c8f75e4da8308db20b9f255bb | # Dataset Card for "SwahiliAlpaca"
Alpaca dataset for instruction fine-tuning in Swahili.
## Prompt Template
```
### Maelekezo:\n{instruction} ### Agizo:\n{input} ### Jibu:\n{output}
``` | mwitiderrick/SwahiliAlpaca | [
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"license:apache-2.0",
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] | 2023-12-31T09:21:23+00:00 | {"language": ["sw"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "pretty_name": "Swahili Alpaca", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text"... | 2023-12-31T19:27:51+00:00 | [] | [
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| # Dataset Card for "SwahiliAlpaca"
Alpaca dataset for instruction fine-tuning in Swahili.
## Prompt Template
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4b27908001d364c6682cdf639df45e236dae14e7 | # Dataset Card for "Llama2-MedTuned-Instructions"
## Dataset Description
Llama2-MedTuned-Instructions is an instruction-based dataset developed for training language models in biomedical NLP tasks. It consists of approximately 200,000 samples, each tailored to guide models in performing specific tasks such as Named E... | nlpie/Llama2-MedTuned-Instructions | [
"license:cc-by-nc-4.0",
"arxiv:2401.00579",
"region:us"
] | 2023-12-31T09:58:50+00:00 | {"license": "cc-by-nc-4.0", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype... | 2024-02-11T23:18:12+00:00 | [
"2401.00579"
] | [] | TAGS
#license-cc-by-nc-4.0 #arxiv-2401.00579 #region-us
| # Dataset Card for "Llama2-MedTuned-Instructions"
## Dataset Description
Llama2-MedTuned-Instructions is an instruction-based dataset developed for training language models in biomedical NLP tasks. It consists of approximately 200,000 samples, each tailored to guide models in performing specific tasks such as Named E... | [
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930cb293cb9a8b9f1ea17c50f9161da4dc82f5f9 |
Text from english books from gutenberg.org with fiction tag and at least 25 downloads, split into paragraphs.
Original dataset: sanps/GutenbergFiction
Summarization with cognitivecomputations/dolphin-2.6-mistral-7b
For license details see: https://www.gutenberg.org/policy/permission.html | sanps/GutenbergFictionSummary | [
"language:en",
"license:mit",
"region:us"
] | 2023-12-31T09:59:16+00:00 | {"language": ["en"], "license": "mit", "pretty_name": "Gutenberg Fiction Books + Summaries", "dataset_info": {"features": [{"name": "file_id", "dtype": "string"}, {"name": "text_sub_id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "tokens", "dtype": "int64"}, {"name": "generated_text", "dtype": "st... | 2024-01-02T04:16:52+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
|
Text from english books from URL with fiction tag and at least 25 downloads, split into paragraphs.
Original dataset: sanps/GutenbergFiction
Summarization with cognitivecomputations/dolphin-2.6-mistral-7b
For license details see: URL | [] | [
"TAGS\n#language-English #license-mit #region-us \n"
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15
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82207c7ab46c2b9465161c2da61dbcfc95b9e218 | <<<<<<< HEAD
=======
---
license: apache-2.0
task_categories:
- automatic-speech-recognition
language:
- en
pretty_name: LDV Audio
size_categories:
- n<1K
---
>>>>>>> 763d44a94e84a59252e84dc915180fd72adf1176
# LDV-Audio | sk413025/ldv-audio | [
"region:us"
] | 2023-12-31T10:56:47+00:00 | {} | 2023-12-31T13:53:33+00:00 | [] | [] | TAGS
#region-us
| <<<<<<< HEAD
=======
---
license: apache-2.0
task_categories:
- automatic-speech-recognition
language:
- en
pretty_name: LDV Audio
size_categories:
- n<1K
---
>>>>>>> 763d44a94e84a59252e84dc915180fd72adf1176
# LDV-Audio | [
"# LDV-Audio"
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"TAGS\n#region-us \n",
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6,
6
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"passage: TAGS\n#region-us \n# LDV-Audio"
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05105722b12661ee13913d3e5a07c9d06759721b |
* https://huggingface.co/datasets/clips/mqa | kozistr/mqa-ko | [
"task_categories:question-answering",
"language:ko",
"license:cc0-1.0",
"mqa",
"region:us"
] | 2023-12-31T11:04:07+00:00 | {"language": ["ko"], "license": "cc0-1.0", "task_categories": ["question-answering"], "tags": ["mqa"], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 541067862, "num_examples": 1382378}], "download_size": 162865210... | 2023-12-31T11:24:27+00:00 | [] | [
"ko"
] | TAGS
#task_categories-question-answering #language-Korean #license-cc0-1.0 #mqa #region-us
|
* URL | [] | [
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58d62e79897628b7806e8c755d4eaa2c805181d0 |
使用Qwen系列模型，仿照TinyStories数据集生成的中文故事数据集。
**这不是原数据集的翻译，也不遵循原数据集的格式。所有数据均为AI生成，数据集未经筛选，不保证其分布均匀、安全无害或其他任何性质。用于生成数据集的种子信息为随机选择，无任何特定含义。**
| zhoukz/TinyStories-Qwen | [
"task_categories:text-generation",
"language:zh",
"license:mit",
"region:us"
] | 2023-12-31T11:45:29+00:00 | {"language": ["zh"], "license": "mit", "task_categories": ["text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data_???.jsonl"}, {"split": "validation", "path": "data_val_???.jsonl"}]}]} | 2024-01-01T13:36:11+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #language-Chinese #license-mit #region-us
|
使用Qwen系列模型，仿照TinyStories数据集生成的中文故事数据集。
这不是原数据集的翻译，也不遵循原数据集的格式。所有数据均为AI生成，数据集未经筛选，不保证其分布均匀、安全无害或其他任何性质。用于生成数据集的种子信息为随机选择，无任何特定含义。
| [] | [
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27
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596236d2a4e71492cbfbef895aae9a39b970baa4 | ## Introduction
This dataset, derived from the Icelandic Gigaword Corpus, is designed as a more comprehensive alternative to the existing dataset found at
https://huggingface.co/datasets/styletts2-community/multilingual-pl-bert/tree/main/is.
The original dataset, derived from just 52MB of raw text from the Icelandic W... | grammatek/multilingual-pl-bert-is-updated | [
"language:is",
"license:cc-by-4.0",
"region:us"
] | 2023-12-31T12:18:35+00:00 | {"language": ["is"], "license": "cc-by-4.0"} | 2024-01-08T10:08:27+00:00 | [] | [
"is"
] | TAGS
#language-Icelandic #license-cc-by-4.0 #region-us
| ## Introduction
This dataset, derived from the Icelandic Gigaword Corpus, is designed as a more comprehensive alternative to the existing dataset found at
URL
The original dataset, derived from just 52MB of raw text from the Icelandic Wikipedia, was processed using the espeak-ng backend for
normalization and phonemiza... | [
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9bc50568bf9e2a41098410532e3e1fca3fb7b8e4 | # DL3DV Benchmark Download Instructions
This repo contains all the benchmark data, including a README, License, colmaps/images (compatible to nerfstudio and 3D gaussian splatting), scene labels and the performances of methods reported in the paper (ZipNeRF, 3D GS, MipNeRF-360, nerfacto, Instant-NGP).
# Download
As ... | DL3DV/DL3DV-10K-Benchmark | [
"size_categories:n>1T",
"3D vision",
"novel view synthesis",
"NeRF",
"3D Gaussian Splatting",
"Generalizable NeRF",
"Generative Methods",
"text-to-3d",
"image-to-3d",
"region:us"
] | 2023-12-31T12:23:57+00:00 | {"size_categories": ["n>1T"], "pretty_name": "DL3DV", "tags": ["3D vision", "novel view synthesis", "NeRF", "3D Gaussian Splatting", "Generalizable NeRF", "Generative Methods", "text-to-3d", "image-to-3d"]} | 2024-01-05T02:23:00+00:00 | [] | [] | TAGS
#size_categories-n>1T #3D vision #novel view synthesis #NeRF #3D Gaussian Splatting #Generalizable NeRF #Generative Methods #text-to-3d #image-to-3d #region-us
| # DL3DV Benchmark Download Instructions
This repo contains all the benchmark data, including a README, License, colmaps/images (compatible to nerfstudio and 3D gaussian splatting), scene labels and the performances of methods reported in the paper (ZipNeRF, 3D GS, MipNeRF-360, nerfacto, Instant-NGP).
# Download
As ... | [
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"# Dow... | [
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f586306f81144389e2038e5f0db03eac39e13066 |
# Dataset Card for Prompt Injections by <a style="display: inline;" href="https://yanismiraoui.github.io/"> Yanis Miraoui </a> 👋
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Consid... | yanismiraoui/prompt_injections | [
"annotations_creators:no-annotation",
"multilinguality:multilingual",
"source_datasets:original",
"language:en",
"language:fr",
"language:de",
"language:es",
"language:pt",
"language:it",
"language:ro",
"license:apache-2.0",
"prompt",
"prompt injection",
"jailbreak",
"prompt leaking",
... | 2023-12-31T12:26:23+00:00 | {"annotations_creators": ["no-annotation"], "language": ["en", "fr", "de", "es", "pt", "it", "ro"], "license": "apache-2.0", "multilinguality": ["multilingual"], "source_datasets": ["original"], "tags": ["prompt", "prompt injection", "jailbreak", "prompt leaking", "mode switching"]} | 2023-12-31T12:57:56+00:00 | [] | [
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# Dataset Card for Prompt Injections by <a style="display: inline;" href="URL Yanis Miraoui </a>
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Considerations for Using the Data
- Prompts to handle with care
)
## Dataset Description
This dataset of prompt inj... | [
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5a6f24156cecbc04dc852fdf115fc5a8b680c247 | # Dataset Card for "x86_c_O0_exebench_json_cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhangshuoming/x86_c_O0_exebench_json_cleaned | [
"region:us"
] | 2023-12-31T12:31:51+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1495247998.4292047, "num_examples": 679665}], "download_size": 195075844, "dataset_size": 1495247998.4292047}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}... | 2023-12-31T12:32:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "x86_c_O0_exebench_json_cleaned"
More Information needed | [
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8fc40ea26b52f7777f3871b43b00dba2c4f6a5e8 | # Dataset Card for Dataset Name
This dataset card aims to be a base template for zhmcclient datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset Details
### Dataset Description
C... | Prasanna16/zhmclient-dataset | [
"task_categories:text-generation",
"size_categories:n<1K",
"zhmcclient",
"code",
"python",
"region:us"
] | 2023-12-31T13:26:19+00:00 | {"size_categories": ["n<1K"], "task_categories": ["text-generation"], "tags": ["zhmcclient", "code", "python"]} | 2024-01-07T14:23:37+00:00 | [] | [] | TAGS
#task_categories-text-generation #size_categories-n<1K #zhmcclient #code #python #region-us
| # Dataset Card for Dataset Name
This dataset card aims to be a base template for zhmcclient datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
Contains code samples which use zhmclient library.
### Direct Use
This dataset is used for fine-tuning LLMs to incorpora... | [
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d1f1d9db23c27f05af63257bffba5e5fc45620ed |
# このデータセットについて
このデータは、日本の官公庁のWebサイトに掲載されている「よくある質問」を手作業で抽出し、インストラクション用のデータセットとしたものです。
日本の官公庁のWebサイトは多くが「政府標準利用規約（第2.0版）」に準拠しており、この規約はCC-BY-4.0（国際）と互換性があると記述されています。
参考 https://www.digital.go.jp/copyright-policy
したがって本データセットの著作権者はデータセットのcopyrightに記載された各官公庁であり、ライセンスもCC-BY-4.0（国際）です。データセット製作者は著作権を主張しません。
# 特徴
- 質問と回... | matsuxr/JaGovFaqs-22k | [
"task_categories:conversational",
"size_categories:10K<n<100K",
"language:ja",
"license:cc-by-4.0",
"legal",
"region:us"
] | 2023-12-31T13:58:41+00:00 | {"language": ["ja"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["conversational"], "tags": ["legal"]} | 2024-01-01T06:26:39+00:00 | [] | [
"ja"
] | TAGS
#task_categories-conversational #size_categories-10K<n<100K #language-Japanese #license-cc-by-4.0 #legal #region-us
|
# このデータセットについて
このデータは、日本の官公庁のWebサイトに掲載されている「よくある質問」を手作業で抽出し、インストラクション用のデータセットとしたものです。
日本の官公庁のWebサイトは多くが「政府標準利用規約（第2.0版）」に準拠しており、この規約はCC-BY-4.0（国際）と互換性があると記述されています。
参考 URL
したがって本データセットの著作権者はデータセットのcopyrightに記載された各官公庁であり、ライセンスもCC-BY-4.0（国際）です。データセット製作者は著作権を主張しません。
# 特徴
- 質問と回答の形式になっています。
- 国家公務員によるチェックを経ているので、誤字脱字... | [
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4be068dd628bf98e0449be6678dd1167bad56d97 |
Description:
Created for training models on fiction generation. Dataset has pairs of LLM-generated summaries and corresponding narrative texts from popular English fiction on Project Gutenberg.
Orignal dataset: sanps/GutenbergFictionSummary
Summaries are produced by cognitivecomputations/dolphin-2.6-mistral-7b.
Th... | sanps/GutenbergFictionSummaryPrepared | [
"language:en",
"license:mit",
"region:us"
] | 2023-12-31T14:05:09+00:00 | {"language": ["en"], "license": "mit", "pretty_name": "Gutenberg Fiction Summaries and Text", "dataset_info": {"features": [{"name": "file_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "book_text", "dtype": "string"}, {"name": "summary_text", "dtype": "string"}]}], "splits": [{"name": "train_full", "n... | 2024-01-02T04:17:33+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
|
Description:
Created for training models on fiction generation. Dataset has pairs of LLM-generated summaries and corresponding narrative texts from popular English fiction on Project Gutenberg.
Orignal dataset: sanps/GutenbergFictionSummary
Summaries are produced by cognitivecomputations/dolphin-2.6-mistral-7b.
Th... | [] | [
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"passage: TAGS\n#language-English #license-mit #region-us \n"
] |
51a3d45a3dd60adc4174963a844d0597383c604a | # Dataset Card for "dummy_text_dataset"
Dummy text dataset with 2048 random sequences of characters of length 10 to 1024. | gmongaras/dummy_text_dataset | [
"region:us"
] | 2023-12-31T15:10:48+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1063271, "num_examples": 2048}], "download_size": 1079397, "dataset_size": 1063271}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-31T15:13:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dummy_text_dataset"
Dummy text dataset with 2048 random sequences of characters of length 10 to 1024. | [
"# Dataset Card for \"dummy_text_dataset\"\n\nDummy text dataset with 2048 random sequences of characters of length 10 to 1024."
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2eac1516fdee7407cc2a93ef93558df95de65d98 |
## Attributes:
This dataset comprises three attributes: the first corresponds to Headlines 1, the second to Headlines 2, and the third to the target variable. Both sentences are associated with news extracted from Google News, while the target variable indicates whether both sentences are related to the same event (1... | cmunhozc/google_news_en | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"CENIA",
"News",
"region:us"
] | 2023-12-31T16:20:28+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "tags": ["CENIA", "News"]} | 2024-01-03T20:13:09+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-mit #CENIA #News #region-us
|
## Attributes:
This dataset comprises three attributes: the first corresponds to Headlines 1, the second to Headlines 2, and the third to the target variable. Both sentences are associated with news extracted from Google News, while the target variable indicates whether both sentences are related to the same event (1... | [
"## Attributes:\n\nThis dataset comprises three attributes: the first corresponds to Headlines 1, the second to Headlines 2, and the third to the target variable. Both sentences are associated with news extracted from Google News, while the target variable indicates whether both sentences are related to the same ev... | [
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aa50d6df276fdec33336c64474f97909edacc2dc |
# Dataset Card for primer_demo_ejemplo_ds_semantic
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset description](#dataset-description)
- [Dataset categories](#dataset-categories)
## Dataset description
- **Homepage:** https://huggingface.co/datasets/Lit4pCol4b/primer_demo_ejemplo_ds_semanti... | Lit4pCol4b/primer_demo_ejemplo_ds_semantic | [
"task_categories:image-segmentation",
"region:us"
] | 2023-12-31T16:23:18+00:00 | {"task_categories": ["image-segmentation"]} | 2024-01-02T02:23:55+00:00 | [] | [] | TAGS
#task_categories-image-segmentation #region-us
| Dataset Card for primer\_demo\_ejemplo\_ds\_semantic
====================================================
Table of Contents
-----------------
* Table of Contents
* Dataset description
* Dataset categories
Dataset description
-------------------
* Homepage: URL
Dataset categories
------------------
Id: 1, Na... | [] | [
"TAGS\n#task_categories-image-segmentation #region-us \n"
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6437a276745acf9f9c58bae06e982edec81facde |
## USC Course Catalog - 2024, Spring Term
This dataset consists of all classes provided by USC (as of December 1, 2023) that USC is providing in 2024 Spring.
While it is a small dataset, this could be used in some finetuning, generation, or RAG application tasks. One example would be this -> https://huggingface.co/spa... | USC/USC-Course-Catalog | [
"license:apache-2.0",
"region:us"
] | 2023-12-31T16:55:52+00:00 | {"license": "apache-2.0"} | 2023-12-31T17:05:04+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
## USC Course Catalog - 2024, Spring Term
This dataset consists of all classes provided by USC (as of December 1, 2023) that USC is providing in 2024 Spring.
While it is a small dataset, this could be used in some finetuning, generation, or RAG application tasks. One example would be this -> URL
I will also be scrapi... | [
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dacfc1bc7960967bb515a46e66b07e33bb081ddf | ### Human or AI-Generated Text
The data can be valuable for educators, policymakers, and researchers interested in the evolving education landscape, particularly in detecting or identifying texts written by Humans or Artificial Intelligence systems.
#### File Name
`model_training_dataset.csv`
#### File Structure
-... | dmitva/human_ai_generated_text | [
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"nlp",
"human",
"ai",
"text",
"doi:10.57967/hf/1617",
"region:us"
] | 2023-12-31T16:56:40+00:00 | {"language": ["en"], "license": "cc-by-4.0", "tags": ["nlp", "human", "ai", "text"]} | 2024-01-16T06:25:14+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #nlp #human #ai #text #doi-10.57967/hf/1617 #region-us
| ### Human or AI-Generated Text
The data can be valuable for educators, policymakers, and researchers interested in the evolving education landscape, particularly in detecting or identifying texts written by Humans or Artificial Intelligence systems.
#### File Name
'model_training_dataset.csv'
#### File Structure
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b17ebe6f5b371d795a66bfeec5d802d9231dbaf6 |
# Ficbook dataset
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Description](#description)
- [Usage](#usage)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
## Description
A dump of the library, mainly in Russian, including all metadata. Usage of this dataset is poss... | IlyaGusev/librusec_full | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:ru",
"not-for-all-audiences",
"region:us"
] | 2023-12-31T17:34:04+00:00 | {"language": ["ru"], "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "Librusec", "tags": ["not-for-all-audiences"], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "file_name", "dtype": "string"}, {"name": "annotation", "dtype": "string"}, {"name": "... | 2024-01-04T16:58:54+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-Russian #not-for-all-audiences #region-us
|
# Ficbook dataset
## Table of Contents
- Table of Contents
- Description
- Usage
- Personal and Sensitive Information
## Description
A dump of the library, mainly in Russian, including all metadata. Usage of this dataset is possible only for scientific purposes on a non-commercial basis.
Script: parse_zip_fb2.py
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61adb4bc3dba844e295cab00f7d68e28715ac25a | # Website Screenshots Image Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset is obtainable [here from roboflow.](https://universe.roboflow.com/roboflow-gw7yv/website-screenshots).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Langua... | Zexanima/website_screenshots_image_dataset | [
"task_categories:object-detection",
"language:en",
"license:mit",
"web",
"website",
"region:us"
] | 2023-12-31T17:34:58+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["object-detection"], "dataset_info": {"features": [{"name": "image_id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "url", "dtype": "null"}, {"name": "date_captured"... | 2023-12-31T21:39:29+00:00 | [] | [
"en"
] | TAGS
#task_categories-object-detection #language-English #license-mit #web #website #region-us
| # Website Screenshots Image Dataset
This dataset is obtainable here from roboflow..
## Dataset Details
### Dataset Description
- Language(s) (NLP): [English]
- License: [MIT]
### Dataset Sources
- Source: [URL
## Uses
From the roboflow website:
> Annotated screenshots are very useful in Robotic Process ... | [
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c7a628b0cdf4908e87aa10e05407a795b8758bf9 |
# Deita-10k-V0 in Chat ML Format
https://huggingface.co/datasets/hkust-nlp/deita-10k-v0 but in ChatML format.
| smangrul/deita-10k-v0-chatml | [
"region:us"
] | 2023-12-31T17:58:56+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "source", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 325581880.5, "num_examples": 9000}, {"name": "test", "num_bytes"... | 2023-12-31T18:03:27+00:00 | [] | [] | TAGS
#region-us
|
# Deita-10k-V0 in Chat ML Format
URL but in ChatML format.
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80a8036bbf83395a1724c3f0ee2bca236272d363 | title: Lexicon Dataset for the Hausa Language
Dataset with English translation
---
license: cc-by-nd-4.0
--- | mangaphd/hausa_aug_lex | [
"size_categories:10K<n<100K",
"language:ha",
"license:cc-by-nd-4.0",
"doi:10.57967/hf/1541",
"region:us"
] | 2023-12-31T19:23:56+00:00 | {"language": ["ha"], "license": "cc-by-nd-4.0", "size_categories": ["10K<n<100K"], "pretty_name": "hausa_aug_lex"} | 2024-01-20T17:09:03+00:00 | [] | [
"ha"
] | TAGS
#size_categories-10K<n<100K #language-Hausa #license-cc-by-nd-4.0 #doi-10.57967/hf/1541 #region-us
| title: Lexicon Dataset for the Hausa Language
Dataset with English translation
---
license: cc-by-nd-4.0
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] |
83a8957936caf7e11f7c4d7a29c94c85544546f2 | # Dataset Card for "fashion_image_caption-100-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ddedde/fashion_image_caption-100-v2 | [
"region:us"
] | 2023-12-31T19:28:12+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22820471.0, "num_examples": 100}], "download_size": 22820373, "dataset_size": 22820471.0}} | 2023-12-31T19:28:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fashion_image_caption-100-v2"
More Information needed | [
"# Dataset Card for \"fashion_image_caption-100-v2\"\n\nMore Information needed"
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16b7e483af3f8dbe0d11ff1838ee98163be7d09c | # Dataset Card for "SwahiliPlatypus"
[Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus) translated to Swahili. | mwitiderrick/SwahiliPlatypus | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:sw",
"license:apache-2.0",
"region:us"
] | 2023-12-31T19:30:00+00:00 | {"language": ["sw"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "pretty_name": "Swahili Platypus", "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "tex... | 2024-01-01T17:22:03+00:00 | [] | [
"sw"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-Swahili (macrolanguage) #license-apache-2.0 #region-us
| # Dataset Card for "SwahiliPlatypus"
Open-Platypus translated to Swahili. | [
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9a9ef60a8140f40745bafb0c0de7a6a601b48273 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | danielmekuriaw/Amharic-Text-Summarization-Benchmark-Dataset | [
"region:us"
] | 2023-12-31T20:16:04+00:00 | {} | 2023-12-31T20:16:26+00:00 | [] | [] | TAGS
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# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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### Dataset Description
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8729032d224d1b4b10a1e3b7ecfc6ce002f4929e | # Dataset Card for "fashion_image_caption-100-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mohibovais79/fashion_image_caption-100-v2 | [
"region:us"
] | 2023-12-31T20:35:23+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22820471.0, "num_examples": 100}], "download_size": 22820373, "dataset_size": 22820471.0}} | 2023-12-31T20:35:24+00:00 | [] | [] | TAGS
#region-us
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e90aa7f324e7b35fc9ba993949ee9d583810ac32 | complete | netcat420/MHENNlitv2 | [
"license:mit",
"region:us"
] | 2023-12-31T21:00:14+00:00 | {"license": "mit"} | 2024-01-03T02:42:58+00:00 | [] | [] | TAGS
#license-mit #region-us
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d831b2841e443e2cd26ee92b8835e9fce7a202f3 | Dataset for TCFD complience | angry-snail/tcfd-v1 | [
"task_categories:text-classification",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-31T21:01:21+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "task_categories": ["text-classification"]} | 2024-01-01T18:56:05+00:00 | [] | [
"en"
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#task_categories-text-classification #language-English #license-cc-by-nc-4.0 #region-us
| Dataset for TCFD complience | [] | [
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4c23f7da499bd27a0f0665805e5aabf8c0bb68d9 | # Dataset Card for "cv_13_zh_tw_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/cv_13_zh_tw_extract_unit | [
"region:us"
] | 2023-12-31T21:29:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2023-12-31T21:44:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cv_13_zh_tw_extract_unit"
More Information needed | [
"# Dataset Card for \"cv_13_zh_tw_extract_unit\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cv_13_zh_tw_extract_unit\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cv_13_zh_tw_extract_unit\"\n\nMore Information needed"
] |
f7ac647962f92e6965b55ac539dbb030f3f145b6 | # Dataset Card for "test_startup_advice_5k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | salma-remyx/test_startup_advice_5k | [
"region:us"
] | 2023-12-31T21:42:54+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5402250, "num_examples": 5000}], "download_size": 3156847, "dataset_size": 5402250}} | 2023-12-31T22:12:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_startup_advice_5k"
More Information needed | [
"# Dataset Card for \"test_startup_advice_5k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"test_startup_advice_5k\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"test_startup_advice_5k\"\n\nMore Information needed"
] |
e69b4f68ca4677806f18ecf135acab7b64afc883 | Generated CoT data based on "stereoset" data(https://huggingface.co/datasets/stereoset). This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. | yc4142/bias-CoT | [
"region:us"
] | 2023-12-31T21:50:00+00:00 | {} | 2023-12-31T21:57:19+00:00 | [] | [] | TAGS
#region-us
| Generated CoT data based on "stereoset" data(URL This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
191a97078c8cb2fc21e3d40a599ffea86bf4b5f1 | Generated non-CoT data based on "stereoset" data(https://huggingface.co/datasets/stereoset). This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. | yc4142/bias-nonCoT | [
"region:us"
] | 2023-12-31T21:54:00+00:00 | {} | 2023-12-31T21:57:49+00:00 | [] | [] | TAGS
#region-us
| Generated non-CoT data based on "stereoset" data(URL This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
eba6b22715d421d347fe0a00a5f5d139003acb1a | Generated CoT data based on "metaeval/ethics" data(https://huggingface.co/datasets/metaeval/ethics). This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. Because deontology data on hugging f... | yc4142/ethics-CoT | [
"region:us"
] | 2023-12-31T22:09:47+00:00 | {} | 2023-12-31T22:15:55+00:00 | [] | [] | TAGS
#region-us
| Generated CoT data based on "metaeval/ethics" data(URL This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. Because deontology data on hugging face is missing scenario column, the data was g... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
e5c73cddd9a9ef78afc8d59b189ec5b9d225ad64 | Generated Non CoT data based on "metaeval/ethics" data(https://huggingface.co/datasets/metaeval/ethics). This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. Because deontology data on huggi... | yc4142/ethics-nonCoT | [
"region:us"
] | 2023-12-31T22:15:18+00:00 | {} | 2023-12-31T22:16:31+00:00 | [] | [] | TAGS
#region-us
| Generated Non CoT data based on "metaeval/ethics" data(URL This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. Because deontology data on hugging face is missing scenario column, the data w... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
f2011c19aae17ab1c581e98c7accb3ec5b8679a6 |
QA-pairs with context from public documentation from Zerto, Carbonite, Vmware etc. | reknine69/QA-citations | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"region:us"
] | 2023-12-31T22:27:27+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"]} | 2024-01-16T18:48:41+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-English #region-us
|
QA-pairs with context from public documentation from Zerto, Carbonite, Vmware etc. | [] | [
"TAGS\n#task_categories-question-answering #size_categories-1K<n<10K #language-English #region-us \n"
] | [
34
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-1K<n<10K #language-English #region-us \n"
] |
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