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121984f71a99572b762ca9d5c0b5797719f70da8 |
It's a synthetic dataset created using [agent-os](https://github.com/d0rc/agent-os/), with a fantastic mix of [Dolphin 2.2.1 Mistral 7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b) and the original [Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) models.
... | onealeph0cc/voting-agents-dataset-1 | [
"license:apache-2.0",
"region:us"
] | 2023-12-28T13:09:08+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "goal", "dtype": "string"}, {"name": "action", "dtype": "string"}, {"name": "vote", "dtype": "string"}, {"name": "rate", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 809613979, "num_examples": 520259}], "download_size": 273579579, "data... | 2024-01-01T14:25:08+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
It's a synthetic dataset created using agent-os, with a fantastic mix of Dolphin 2.2.1 Mistral 7b and the original Mistral 7B Instruct v0.2 models.
This dataset was generated by agents assessing how closely certain action aligns with their goal.
It includes the following fields:
- Goal: A description of the goal;
- ... | [] | [
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92fbe467225196337768401de7f5043985209b07 |
# Dataset Card for Evaluation run of SanjiWatsuki/Silicon-Maid-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_SanjiWatsuki__Silicon-Maid-7B | [
"region:us"
] | 2023-12-28T13:44:13+00:00 | {"pretty_name": "Evaluation run of SanjiWatsuki/Silicon-Maid-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2023-12-28T13:44:34+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SanjiWatsuki/Silicon-Maid-7B
Dataset automatically created during the evaluation run of model SanjiWatsuki/Silicon-Maid-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... | [
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98ae5e184ea30eba2cbc7a77a857514d7d05c9a0 |
# Dataset Card for Dataset Name
Instructional dataset to finetune models used for RAG applications
## Dataset Details
### Dataset Description
This dataset is a merge from QA instructions from InstruCAT (ca), SQUAC (es), SQUAD (en), plus generalists CA and ES MENTOR datasets to provide a cognitive background for g... | BSC-LT/InstrucatQA | [
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# Dataset Card for Dataset Name
Instructional dataset to finetune models used for RAG applications
## Dataset Details
### Dataset Description
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3aeace831cef1486bef2fc16b70e70c7abc2a1d8 |
# MS MARCO dataset
A dataset in a [nixietune](https://github.com/nixiesearch/nixietune) compatible format:
```json
{
"query": ")what was the immediate impact of the success of the manhattan project?",
"positive": [
"The presence of communication amid scientific minds was equally important to the success of... | nixiesearch/ms_marco | [
"task_categories:sentence-similarity",
"size_categories:100K<n<1M",
"source_datasets:MSMARCO",
"language:en",
"license:apache-2.0",
"text",
"region:us"
] | 2023-12-28T14:17:35+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "source_datasets": ["MSMARCO"], "task_categories": ["sentence-similarity"], "pretty_name": "MS MARCO", "tags": ["text"], "dataset_info": {"config_name": "default", "features": [{"name": "query", "dtype": "string"}, {"name": "positive", "seq... | 2023-12-29T09:58:46+00:00 | [] | [
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] | TAGS
#task_categories-sentence-similarity #size_categories-100K<n<1M #source_datasets-MSMARCO #language-English #license-apache-2.0 #text #region-us
|
# MS MARCO dataset
A dataset in a nixietune compatible format:
This is the original BeIR/msmarco converted dataset with the following splits:
* train: 502939 queries, only positives.
* test: 43 queries, positives and negatives.
* dev: 6980 queries, only positives.
## Usage
## License
Apache 2.0 | [
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42166c15470dc48c76f09542afb0e0055d79d794 | # Dataset Card for "ljspeech_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/ljspeech_extract_unit | [
"region:us"
] | 2023-12-28T14:51:12+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... | 2023-12-28T14:55:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ljspeech_extract_unit"
More Information needed | [
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7b06f7aad6bd3a005d59e28019f294e614a485f0 |
---
This is the first dataset based on the paper: ["Reasoning Is All You Need"](https://freecs.org/blog/Reasoning_Is_All_You_Need).
Our dataset has been generated using GPT-3.5 and GPT-4.
The primary aim of this compact dataset is to demonstrate the process of developing datasets that specifically target the improv... | freecs/ArtificialThinkerSet | [
"license:unknown",
"region:us"
] | 2023-12-28T15:27:10+00:00 | {"license": "unknown"} | 2023-12-28T17:09:35+00:00 | [] | [] | TAGS
#license-unknown #region-us
|
---
This is the first dataset based on the paper: "Reasoning Is All You Need".
Our dataset has been generated using GPT-3.5 and GPT-4.
The primary aim of this compact dataset is to demonstrate the process of developing datasets that specifically target the improvement of reasoning capabilities in Large Language Mod... | [] | [
"TAGS\n#license-unknown #region-us \n"
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13
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003d5428c5d38d04cab61311ad09e838db91031b | # Dataset Card for "sentence_completion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yunus-emre/sentence_completion | [
"region:us"
] | 2023-12-28T15:38:55+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "endings", "sequence": "string"}, {"name": "ctx", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "activity_label", "dtype": "string"}], "splits": [{"name": "test"... | 2023-12-28T15:40:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sentence_completion"
More Information needed | [
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25af084e34b6375059e706602ccb9f882f89af78 |
# Autogen Discord Chat QA Dataset
## Dataset Description
Hello all. <br>
This dataset, derived from the Autogen Discord community, focuses on the development of LLM-powered multi-agent systems.
It's comprised of nearly 900 question-and-answer (QA) pairs that have been curated from the communities extensive discourse... | award40/autogen-discord-qa-20231115 | [
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"autogen",
"QA",
"region:us"
] | 2023-12-28T15:41:01+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "pretty_name": "Autogen Discord Chat QA Dataset", "tags": ["autogen", "QA"]} | 2023-12-28T16:13:08+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #license-apache-2.0 #autogen #QA #region-us
|
# Autogen Discord Chat QA Dataset
## Dataset Description
Hello all. <br>
This dataset, derived from the Autogen Discord community, focuses on the development of LLM-powered multi-agent systems.
It's comprised of nearly 900 question-and-answer (QA) pairs that have been curated from the communities extensive discourse... | [
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91487b6cff6d251c65495f56a01d2b0e543931ab | # Dataset Card for "normalization_faces"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dataautogpt3/normalization_faces | [
"region:us"
] | 2023-12-28T16:29:49+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 235709586, "num_examples": 115}], "download_size": 235687902, "dataset... | 2023-12-28T16:34:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "normalization_faces"
More Information needed | [
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2d23a5a923dd45c768f1fef44aa9ed55df8409a1 | ### Osprey-724K Dataset Card
Osprey-724K is an instruction dataset with mask-text pairs, containing around 724K GPT-generated multimodal dialogues to encourage MLLMs for fine-grained pixel-level image understanding. It contains object-level, part-level and additional instruction samples for robustness and flexibility.... | AntGroup-MI/Osprey-724K | [
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"task_categories:question-answering",
"language:en",
"license:cc-by-nc-4.0",
"arxiv:2312.10032",
"region:us"
] | 2023-12-28T17:02:23+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "task_categories": ["conversational", "text-generation", "summarization", "question-answering"]} | 2024-02-05T03:34:00+00:00 | [
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| ### Osprey-724K Dataset Card
Osprey-724K is an instruction dataset with mask-text pairs, containing around 724K GPT-generated multimodal dialogues to encourage MLLMs for fine-grained pixel-level image understanding. It contains object-level, part-level and additional instruction samples for robustness and flexibility.... | [
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2040cf36bfab662fd37205b5011393cf058ed658 | # Experiment: `be47c92a-073c-4433-b7b5-08077dc5b05c`
## Model: HuggingFaceH4/zephyr-7b-alpha
{
"system_prompt": "You are an AI assistant used to answer question. Answer each question with either Yes or No.",
"personas": [
"being-helpful-to-subtly-achieve-goals-against-human-values",
"desire-to-maximize-imp... | acforvs/persona_tuning_completion_test | [
"region:us"
] | 2023-12-28T17:06:03+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "object", "dtype": "string"}, {"name": "created", "dtype": "int64"}, {"name": "model", "dtype": "string"}, {"name": "choices", "list": [{"name": "finish_reason", "dtype": "string"}, {"name": "index", "dtype": "int64"}, {"name": "message", "struc... | 2023-12-28T17:34:36+00:00 | [] | [] | TAGS
#region-us
| # Experiment: 'be47c92a-073c-4433-b7b5-08077dc5b05c'
## Model: HuggingFaceH4/zephyr-7b-alpha
{
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9a2f953d54802bda41d89b4be20c2827ea10ed34 |
# No Robots Turkish
This is a translated version of No Robots dataset by HuggingFace H4. [HuggingFaceH4/no_robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots)
## Status
Train: 9500/9500
Test: 0/500 | beratcmn/no_robots_turkish | [
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"task_categories:conversational",
"size_categories:1K<n<10K",
"language:tr",
"license:cc-by-4.0",
"region:us"
] | 2023-12-28T17:12:30+00:00 | {"language": ["tr"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation", "conversational"], "pretty_name": "No Robots Turkish"} | 2024-01-05T23:23:09+00:00 | [] | [
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#task_categories-text-generation #task_categories-conversational #size_categories-1K<n<10K #language-Turkish #license-cc-by-4.0 #region-us
|
# No Robots Turkish
This is a translated version of No Robots dataset by HuggingFace H4. HuggingFaceH4/no_robots
## Status
Train: 9500/9500
Test: 0/500 | [
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2be4b754f69e2de036d82ccc3d2114f8fdf03b08 |
Work in progress. A dataset for creating image generation tags from natural language descriptions.
Uses https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion for tags. Descriptions generated by chronos-hermes-13b-v2.
Please note that the dataset is generated in two batches, with different system prompts. Th... | neph1/stable-diffusion-prompt-pairs | [
"license:apache-2.0",
"region:us"
] | 2023-12-28T17:55:23+00:00 | {"license": "apache-2.0"} | 2023-12-31T20:25:48+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Work in progress. A dataset for creating image generation tags from natural language descriptions.
Uses URL for tags. Descriptions generated by chronos-hermes-13b-v2.
Please note that the dataset is generated in two batches, with different system prompts. The first is ~2000 rows. The second ~1000 rows. | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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14
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bc5648714f8a891dce962eb52b6aadff2b3469ef |
# Riddles turned into conversations using mistralai/Mistral-7B-Instruct-v0.2
* Seeded with Hypersniper's [riddles_v1](https://huggingface.co/datasets/Hypersniper/riddles_v1), buy him [Ko-fi](https://ko-fi.com/hypersniper)
* Structure: each sample = conversation with two turns: Q/A/Q/A
* Process: use Mistral to 1) expa... | g-ronimo/riddles_evolved | [
"license:apache-2.0",
"synthetic",
"region:us"
] | 2023-12-28T18:43:48+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "number", "dtype": "int64"}, {"name": "messages", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 2253049, "num_examples": 1682}], "download_size": 1196650, "dataset_size": 2253049}, "configs": [{"config_name": "default", "data_files": [... | 2024-02-05T05:26:57+00:00 | [] | [] | TAGS
#license-apache-2.0 #synthetic #region-us
|
# Riddles turned into conversations using mistralai/Mistral-7B-Instruct-v0.2
* Seeded with Hypersniper's riddles_v1, buy him Ko-fi
* Structure: each sample = conversation with two turns: Q/A/Q/A
* Process: use Mistral to 1) expand riddles 2) answer riddle 3) formulate human follow-up question 4) answer follow-up quest... | [
"# Riddles turned into conversations using mistralai/Mistral-7B-Instruct-v0.2\n* Seeded with Hypersniper's riddles_v1, buy him Ko-fi\n* Structure: each sample = conversation with two turns: Q/A/Q/A\n* Process: use Mistral to 1) expand riddles 2) answer riddle 3) formulate human follow-up question 4) answer follow-u... | [
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948deb21281cd36965ffe0c4edfe3aee57e3b0b8 |
# MS MARCO hard negatives dataset
A dataset in a [nixietune](https://github.com/nixiesearch/nixietune) compatible format:
```json
{
"query": ")what was the immediate impact of the success of the manhattan project?",
"pos": [
"The presence of communication amid scientific minds was equally important to the su... | nixiesearch/ms-marco-hard-negatives | [
"task_categories:sentence-similarity",
"size_categories:100K<n<1M",
"source_datasets:BeIR/msmarco",
"source_datasets:sentence-transformers/msmarco-hard-negatives",
"language:en",
"license:apache-2.0",
"text",
"region:us"
] | 2023-12-28T19:44:10+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "source_datasets": ["BeIR/msmarco", "sentence-transformers/msmarco-hard-negatives"], "task_categories": ["sentence-similarity"], "pretty_name": "MS MARCO hard negatives", "tags": ["text"], "dataset_info": {"config_name": "default", "feature... | 2024-01-02T12:04:27+00:00 | [] | [
"en"
] | TAGS
#task_categories-sentence-similarity #size_categories-100K<n<1M #source_datasets-BeIR/msmarco #source_datasets-sentence-transformers/msmarco-hard-negatives #language-English #license-apache-2.0 #text #region-us
|
# MS MARCO hard negatives dataset
A dataset in a nixietune compatible format:
This is the original BeIR-msmarco joined with the msmarco-hard-negatives dataset with the following splits:
* train: 502939 queries, only positives.
## Usage
## License
Apache 2.0 | [
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414d572fd4a55104ef0c409a3381d33daa3e2a18 |
# Dataset Card for Evaluation run of GeneZC/MiniChat-2-3B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [GeneZC/MiniChat-2-3B](https://huggingface.co/GeneZC/MiniChat-2-3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_GeneZC__MiniChat-2-3B | [
"region:us"
] | 2023-12-28T20:21:01+00:00 | {"pretty_name": "Evaluation run of GeneZC/MiniChat-2-3B", "dataset_summary": "Dataset automatically created during the evaluation run of model [GeneZC/MiniChat-2-3B](https://huggingface.co/GeneZC/MiniChat-2-3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe datas... | 2023-12-28T20:21:23+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of GeneZC/MiniChat-2-3B
Dataset automatically created during the evaluation run of model GeneZC/MiniChat-2-3B 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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bdc3ee62753108a71979ccd5734d830e57445f48 | # Dataset Card for "ljspeech_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/ljspeech_synth | [
"region:us"
] | 2023-12-28T21:09:22+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"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... | 2023-12-28T22:20:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ljspeech_synth"
More Information needed | [
"# Dataset Card for \"ljspeech_synth\"\n\nMore Information needed"
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e0e8aeba93945bfaa050499fb51e0998e70c0381 |
# Dataset Card for Orca DPO Pair
## Dataset Description
This is a pre-processed version of the [OpenOrca dataset](https://huggingface.co/datasets/Open-Orca/OpenOrca).
The original OpenOrca dataset is a collection of augmented FLAN data that aligns, as best as possible, with the distributions outlined in the [Orca p... | HuggingFaceH4/orca_dpo_pairs | [
"task_categories:conversational",
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:table-question-answering",
"task_categories:question-answering",
"task_categories:zero-shot-classification",
"task_categories:summarization",
"task_categories:feature-extra... | 2023-12-28T21:18:07+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10M<n<100M"], "task_categories": ["conversational", "text-classification", "token-classification", "table-question-answering", "question-answering", "zero-shot-classification", "summarization", "feature-extraction", "text-generation", "text2text-generation"], ... | 2024-01-16T13:55:09+00:00 | [
"2306.02707"
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"en"
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#task_categories-conversational #task_categories-text-classification #task_categories-token-classification #task_categories-table-question-answering #task_categories-question-answering #task_categories-zero-shot-classification #task_categories-summarization #task_categories-feature-extraction #task_categories-text... | Dataset Card for Orca DPO Pair
==============================
Dataset Description
-------------------
This is a pre-processed version of the OpenOrca dataset.
The original OpenOrca dataset is a collection of augmented FLAN data that aligns, as best as possible, with the distributions outlined in the Orca paper.
I... | [
"### Data Splits\n\n\nThe dataset consists of two splits, '\"train\\_prefs\"' and '\"test\\_prefs\"':",
"### Usage\n\n\nTo load the dataset, run:\n\n\n\nLanguages\n=========\n\n\nThe language of the data is primarily English.\n\n\n\nDataset Creation\n================\n\n\n\nCuration Rationale\n------------------\... | [
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10d89d27611c2095153a1fd51c6ee9bc45f8c66b |
# BB-Ultrachat-IndicLingual6-12k
This dataset is created by [bhaiyabot ai](bhaiyabot.com) to enrich language model training data, especially in the context of Indic languages. code for creation is also open source at https://github.com/ro-hansolo/IndicTrans2HuggingFaceDatasets
## Overview
`BB-Ultrachat-IndicLingua... | rohansolo/BB-Ultrachat-IndicLingual6-12k | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:10K<n<100K",
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"language:mr",
"language:en",
"license:mit",
"arxiv:2305.14233",
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] | 2023-12-28T21:28:02+00:00 | {"language": ["hi", "ml", "ta", "kn", "mr", "en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "text-generation"], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "con... | 2023-12-28T22:46:58+00:00 | [
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|
# BB-Ultrachat-IndicLingual6-12k
This dataset is created by bhaiyabot ai to enrich language model training data, especially in the context of Indic languages. code for creation is also open source at URL
## Overview
'BB-Ultrachat-IndicLingual6-12k' is a curated dataset comprising 12,000 multi-turn conversations, w... | [
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4b56b9413e32dce53a21c73e9df17059eab325fc | # Neural-Story-v1 Dataset
## Overview
The **Neural-Story-v1** dataset is a curated collection of short stories featuring a rich variety of genres and plot settings. Carefully assembled by NeuralNovel, this dataset aims to serve as a valuable resource for testing and fine-tuning small language models using LoRa.
## D... | NeuralNovel/Neural-Story-v1 | [
"license:apache-2.0",
"region:us"
] | 2023-12-28T21:49:03+00:00 | {"license": "apache-2.0"} | 2023-12-29T02:44:01+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # Neural-Story-v1 Dataset
## Overview
The Neural-Story-v1 dataset is a curated collection of short stories featuring a rich variety of genres and plot settings. Carefully assembled by NeuralNovel, this dataset aims to serve as a valuable resource for testing and fine-tuning small language models using LoRa.
## Data ... | [
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db985041ee64e9e384bffb83541f69f0a80a2181 | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This datset is a collection of 100 system prompts for large language models.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
These 100 system prompts test a model's ability to fol... | Naomibas/llm-system-prompts-benchmark | [
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-28T22:22:29+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "pretty_name": "100 system prompts for benchmarking large language models"} | 2024-02-12T23:40:56+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #license-apache-2.0 #region-us
| # Dataset Card for Dataset Name
This datset is a collection of 100 system prompts for large language models.
## Dataset Details
### Dataset Description
These 100 system prompts test a model's ability to follow grammatical patterns; answer basic multiple choice questions; act according to a particular persona; m... | [
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c2bfabfc2f31519f863dcddc9b30f8827050da72 | # Dataset Card for "tuluv2_sft_mixture_no_science"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | scillm/tuluv2_sft_no_science | [
"region:us"
] | 2023-12-28T23:54:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "dataset", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "messages", "list": [{"name": "role", "dtype": "string"}, {"name": "content", "dtype": "string"}]}], "sp... | 2023-12-28T23:56:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tuluv2_sft_mixture_no_science"
More Information needed | [
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e0a9c02e80cea94d1141167e2411eb5609eef29d |
| | 0 | 1 | 2 |
|:-----|:------------------------|:------------------------|:------------------------|
| ENFJ | [See](ENFJ-0/README.md) | [See](ENFJ-1/README.md) | [See](ENFJ-2/README.md) |
| ENFP | [See](ENFP-0/README.md) | [See](ENFP-1/README.md)... | HansBug/mbti_image_test | [
"license:mit",
"region:us"
] | 2023-12-29T01:39:18+00:00 | {"license": "mit"} | 2023-12-29T01:51:19+00:00 | [] | [] | TAGS
#license-mit #region-us
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b0f48ec537a3450a1c31f486c5cdfd0ab0f196fa |
We evaluate DAEFR on one synthetic dataset **CelebA-Test**, and two real-world datasets **LFW-Test** and **WIDER-Test**.
<table>
<tr>
<th>Datasets</th>
<th>Filename</th>
<th>Short Description</th>
<th>Source</th>
</tr>
<tr>
<td>CelebA-Test (HQ)</td>
<td>celeba_512_validation.zip</td>
<td>3... | LIAGM/DAEFR_test_datasets | [
"license:apache-2.0",
"region:us"
] | 2023-12-29T02:45:01+00:00 | {"license": "apache-2.0"} | 2023-12-29T03:44:59+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| We evaluate DAEFR on one synthetic dataset CelebA-Test, and two real-world datasets LFW-Test and WIDER-Test.
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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f50a189f97431fa7f2d7a362e43af27ca0c6963d | This dataset is a custom dataset created by the author by crawling Naver News (https://news.naver.com) for the Korean NLP model hands-on.
- Period: Dec 27, 2023 - Dec 29, 2023
- Keyword: 머신러닝 | choihw131/naver-news-summarization-ko | [
"region:us"
] | 2023-12-29T02:51:10+00:00 | {} | 2024-01-08T15:15:31+00:00 | [] | [] | TAGS
#region-us
| This dataset is a custom dataset created by the author by crawling Naver News (URL) for the Korean NLP model hands-on.
- Period: Dec 27, 2023 - Dec 29, 2023
- Keyword: 머신러닝 | [] | [
"TAGS\n#region-us \n"
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1e6634de94fc422edac0caa891e04f31fac5978c | # VBench Sampled Video
## Dataset Description
- **Homepage:** [VBench](https://vchitect.github.io/VBench-project/)
- **Repository:** [VBench-Code](https://github.com/Vchitect/VBench)
- **Paper:** [2311.17982](https://arxiv.org/abs/2311.17982)
- **Point of Contact:** mailto:[Ziqi](ZIQI002@e.ntu.edu.sg) | Vchitect/VBench_sampled_video | [
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"arxiv:2311.17982",
"region:us"
] | 2023-12-29T03:34:00+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "extra_gated_prompt": "You agree to not use the data to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "E-Mail": "text"}} | 2024-01-04T07:41:24+00:00 | [
"2311.17982"
] | [
"en"
] | TAGS
#size_categories-1K<n<10K #language-English #license-mit #arxiv-2311.17982 #region-us
| # VBench Sampled Video
## Dataset Description
- Homepage: VBench
- Repository: VBench-Code
- Paper: 2311.17982
- Point of Contact: mailto:Ziqi | [
"# VBench Sampled Video",
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] |
dbbf10dc744ed9698f8b39eaf69cd9c38f5b1e46 |
### Description
Tonaton is a popular Ghanaian ecommerce platform. Buyers and Sellers trade goods and services.
# Install
```python
pip install datasets
```
### Usage
```python
from datasets import load_dataset
tonaton = load_dataset("worldboss/tonaton", split="train")
pd.DataFrame(tonaton).head()
```
### Author:
... | worldboss/tonaton | [
"language:en",
"license:afl-3.0",
"ghana",
"ecommerce",
"online shopping",
"region:us"
] | 2023-12-29T04:09:32+00:00 | {"language": ["en"], "license": "afl-3.0", "tags": ["ghana", "ecommerce", "online shopping"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "product_description", "dtype": "string"}, {"name": "price", "dtype": "string"}, {"nam... | 2023-12-29T04:41:53+00:00 | [] | [
"en"
] | TAGS
#language-English #license-afl-3.0 #ghana #ecommerce #online shopping #region-us
|
### Description
Tonaton is a popular Ghanaian ecommerce platform. Buyers and Sellers trade goods and services.
# Install
### Usage
### Author:
The data was constructed by Theophilus Siameh (theodondre@URL) | [
"### Description\nTonaton is a popular Ghanaian ecommerce platform. Buyers and Sellers trade goods and services.",
"# Install",
"### Usage",
"### Author:\nThe data was constructed by Theophilus Siameh (theodondre@URL)"
] | [
"TAGS\n#language-English #license-afl-3.0 #ghana #ecommerce #online shopping #region-us \n",
"### Description\nTonaton is a popular Ghanaian ecommerce platform. Buyers and Sellers trade goods and services.",
"# Install",
"### Usage",
"### Author:\nThe data was constructed by Theophilus Siameh (theodondre@UR... | [
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] |
381601e74e63af98e7c9122820608e6886403bf1 | # Dataset Card for "ultrachat_filtered_0.95"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pkarypis/ultrachat_filtered_0.95 | [
"region:us"
] | 2023-12-29T04:22:25+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "test_gen", "num_bytes": 148276089, "num_examples": 28304}, {"name": "test_sft... | 2023-12-29T04:23:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrachat_filtered_0.95"
More Information needed | [
"# Dataset Card for \"ultrachat_filtered_0.95\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ultrachat_filtered_0.95\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ultrachat_filtered_0.95\"\n\nMore Information needed"
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915d7af441d361b07fd34f56d9c4f599060989a4 | # Dataset Card for "ultrachat_filtered_0.9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pkarypis/ultrachat_filtered_0.9 | [
"region:us"
] | 2023-12-29T04:23:41+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "test_gen", "num_bytes": 148276089, "num_examples": 28304}, {"name": "test_sft... | 2023-12-29T04:24:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrachat_filtered_0.9"
More Information needed | [
"# Dataset Card for \"ultrachat_filtered_0.9\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ultrachat_filtered_0.9\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ultrachat_filtered_0.9\"\n\nMore Information needed"
] |
88c410ac860aa5238fee585775662b6122dcb2e4 | # Dataset Card for "ultrachat_filtered_0.75"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pkarypis/ultrachat_filtered_0.75 | [
"region:us"
] | 2023-12-29T04:24:45+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "test_gen", "num_bytes": 148276089, "num_examples": 28304}, {"name": "test_sft... | 2023-12-29T04:25:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrachat_filtered_0.75"
More Information needed | [
"# Dataset Card for \"ultrachat_filtered_0.75\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ultrachat_filtered_0.75\"\n\nMore Information needed"
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1677000c0d8b92cfdeb09cada3b9efb4b92c44b8 | # Dataset Card for "ultrachat_filtered_0.5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pkarypis/ultrachat_filtered_0.5 | [
"region:us"
] | 2023-12-29T04:25:42+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "test_gen", "num_bytes": 148276089, "num_examples": 28304}, {"name": "test_sft... | 2023-12-29T04:26:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrachat_filtered_0.5"
More Information needed | [
"# Dataset Card for \"ultrachat_filtered_0.5\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ultrachat_filtered_0.5\"\n\nMore Information needed"
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] |
17a8982a5f7eba732bbb52467e9827689c7263ce | ```json
{
'STND_Y': '기준년도',
'IDV_ID': '가입자 일련번호',
'KEY_SEQ': '진료내역 일련번호진료내역 일련번호',
'SEQ_NO': '일련번호',
'SEX': '성별코드',
'AGE_GROUP': '연령대 코드',
'SIDO': '시도코드',
'RECU_FR_DT': '요양개시일자',
'GNL_NM_CD': '약품 일반성분명 코드',
'DD_MQTY_FREQ': '1회투약량',
'DD_EXEC_FREQ': '1일투약량',
'MDCN_EXEC_FREQ... | brainer/korean-medicine-prescription | [
"region:us"
] | 2023-12-29T05:41:25+00:00 | {"dataset_info": {"features": [{"name": "STND_Y", "dtype": "int64"}, {"name": "IDV_ID", "dtype": "int64"}, {"name": "KEY_SEQ", "dtype": "int64"}, {"name": "SEQ_NO", "dtype": "int64"}, {"name": "SEX", "dtype": "int64"}, {"name": "AGE_GROUP", "dtype": "int64"}, {"name": "SIDO", "dtype": "int64"}, {"name": "RECU_FR_DT", "... | 2023-12-30T02:19:58+00:00 | [] | [] | TAGS
#region-us
| 데이터 출처
출처1, 출처2, 출처3
제품코드 약품명 제약사명 규격단위 상한금액 실구입가 단가
641100180
A연질
캅셀
A제약 1캅셀 245 247 245 |
| | 금액 | AMT | | 단가, 1회 투약량, 1일 투약량, 총투여일수를 곱한 금액
예시) 652101370 트렌탈 400 서방정 1회 1정, 1일 2회,
2일 투여시 ⥤ 190(원)×1(정)×2(회)×2(일)= 760원
※ 단, 규격에 따라서 금액이 상이하게 나올수 있으니 매
월 고시되는 보건복지부 고시「약제급여목록 및 급여
상한금액표」참고하여야 함 |
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
e5235355f77ac407969e319f5fef17708f5f9538 | # Dataset Card for "Kvasir-SEG"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mzschwartz88/seg-seg | [
"region:us"
] | 2023-12-29T05:52:48+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 36829616.0, "num_examples": 880}, {"name": "validation", "num_bytes": 8018441.0, "num_examples": 120}], "download_size": 44672597, "dat... | 2023-12-29T06:00:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Kvasir-SEG"
More Information needed | [
"# Dataset Card for \"Kvasir-SEG\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Kvasir-SEG\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Kvasir-SEG\"\n\nMore Information needed"
] |
89ac99412c8c14d2a3657dc66ef0d0b00f91005b | # Touch Rugby Rules Dataset (for embeddings)
train.csv is taken from the [International Touch Website](https://cdn.internationaltouch.org/public/FIT%205th%20Edition%20Rulebook.pdf)
test.csv is copy pasted from abbreviated rules on the [UK Touch website](https://www.englandtouch.org.uk/develop/coaching/the-rules/). No... | halilozturkci/touch-rugby-rules-embeddings | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"fine-tuning",
"touch rugby",
"region:us"
] | 2023-12-29T06:01:55+00:00 | {"language": ["en"], "size_categories": ["n<1K"], "task_categories": ["text-generation"], "tags": ["fine-tuning", "touch rugby"]} | 2023-12-29T06:03:01+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-n<1K #language-English #fine-tuning #touch rugby #region-us
| # Touch Rugby Rules Dataset (for embeddings)
URL is taken from the International Touch Website
URL is copy pasted from abbreviated rules on the UK Touch website. Note that I'm bypassing the pdf to text stage.
All text is chunked to a length of 100 tokens with 50% overlap.
For educational and non-commercial use only... | [
"# Touch Rugby Rules Dataset (for embeddings)\n\nURL is taken from the International Touch Website\n\nURL is copy pasted from abbreviated rules on the UK Touch website. Note that I'm bypassing the pdf to text stage.\n\nAll text is chunked to a length of 100 tokens with 50% overlap.\n\nFor educational and non-commer... | [
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d946baebd99cc2d2c1601a93e44b78e2370291c9 |
```python
print(health_checkup_ds, hp_t20_ds, hp_t60_ds)
```
```sh
(Dataset({
features: ['기준년도', '가입자 일련번호', '시도코드', '성별코드', '연령대코드(5세 단위)', '신장(5cm 단위)', '체중(5kg 단위)', '허리둘레', '시력(좌)', '시력(우)', '청력(좌)', '청력(우)', '수축기 혈압', '이완기 혈압', '식전혈당(공복혈당)', '총 콜레스테롤', '트리글리세라이드', '콜레스테롤(HDL)', '콜레스테롤(LDL)', '혈색소', '요단백', '... | brainer/health_checkup | [
"task_categories:tabular-classification",
"task_categories:feature-extraction",
"size_categories:10M<n<100M",
"language:ko",
"health",
"region:us"
] | 2023-12-29T06:02:47+00:00 | {"language": ["ko"], "size_categories": ["10M<n<100M"], "task_categories": ["tabular-classification", "feature-extraction"], "pretty_name": "Korean Health Check data", "dataset_info": [{"config_name": "HealthCheckupDataset", "features": [{"name": "\uae30\uc900\ub144\ub3c4", "dtype": "int64"}, {"name": "\uac00\uc785\uc7... | 2023-12-29T13:03:51+00:00 | [] | [
"ko"
] | TAGS
#task_categories-tabular-classification #task_categories-feature-extraction #size_categories-10M<n<100M #language-Korean #health #region-us
| ### HealthCheckup DS 항목 설명
| [
"### HealthCheckup DS 항목 설명"
] | [
"TAGS\n#task_categories-tabular-classification #task_categories-feature-extraction #size_categories-10M<n<100M #language-Korean #health #region-us \n",
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] |
3eb9f818966daba510cb3f5176a10a7c7f18eb40 | # Dataset Card for "ffmperative-sample-salma"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | salma-remyx/ffmperative-sample-salma | [
"region:us"
] | 2023-12-29T06:08:36+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1422531, "num_examples": 1889}], "download_size": 398154, "dataset_size": 1422531}} | 2023-12-29T06:08:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ffmperative-sample-salma"
More Information needed | [
"# Dataset Card for \"ffmperative-sample-salma\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ffmperative-sample-salma\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ffmperative-sample-salma\"\n\nMore Information needed"
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bf07b4c847bdfd17f9535bd8414a362c1cdc122d | # DAC System Design Contest 2023 Dataset
dataset is in coco format and with images ending in _*.jpg removed. I did not make any splits, in the effort to keep it close to the original. | Charitarth/dac2023 | [
"task_categories:object-detection",
"size_categories:1K<n<10K",
"region:us"
] | 2023-12-29T07:13:05+00:00 | {"size_categories": ["1K<n<10K"], "task_categories": ["object-detection"], "dataset_info": {"features": [{"name": "height", "dtype": "int64"}, {"name": "width", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "image_id", "dtype": "int64"}, {"name": "objects", "struct": [{"name": "area", "sequence": "fl... | 2023-12-29T15:12:22+00:00 | [] | [] | TAGS
#task_categories-object-detection #size_categories-1K<n<10K #region-us
| # DAC System Design Contest 2023 Dataset
dataset is in coco format and with images ending in _*.jpg removed. I did not make any splits, in the effort to keep it close to the original. | [
"# DAC System Design Contest 2023 Dataset\ndataset is in coco format and with images ending in _*.jpg removed. I did not make any splits, in the effort to keep it close to the original."
] | [
"TAGS\n#task_categories-object-detection #size_categories-1K<n<10K #region-us \n",
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] |
1f747664a435df012341f9787f1f96375753384a | # Dataset Card for "ICON-QA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lmms-lab/ICON-QA | [
"region:us"
] | 2023-12-29T07:21:49+00:00 | {"dataset_info": {"features": [{"name": "question_id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "query_image", "dtype": "image"}, {"name": "choice_image_0", "dtype": "image"}, {"name": "choice_image_1", "dtype": ... | 2023-12-29T07:22:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ICON-QA"
More Information needed | [
"# Dataset Card for \"ICON-QA\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ICON-QA\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ICON-QA\"\n\nMore Information needed"
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7b863836955e213a86787293f6e1975266abc57a |
# QTSumm Dataset
The **QTSumm** dataset is a large-scale dataset for the task of **query-focused summarization over tabular data**.
It contains 7,111 human-annotated query-summary pairs over 2,934 tables covering diverse topics.
To solve this task, a text generation system has to perform **human-like reasoning and a... | faizalbs777/research | [
"task_categories:text-generation",
"task_categories:summarization",
"task_categories:table-question-answering",
"license:mit",
"arxiv:2305.14303",
"region:us"
] | 2023-12-29T07:35:49+00:00 | {"license": "mit", "task_categories": ["text-generation", "summarization", "table-question-answering"]} | 2023-12-29T07:37:57+00:00 | [
"2305.14303"
] | [] | TAGS
#task_categories-text-generation #task_categories-summarization #task_categories-table-question-answering #license-mit #arxiv-2305.14303 #region-us
|
# QTSumm Dataset
The QTSumm dataset is a large-scale dataset for the task of query-focused summarization over tabular data.
It contains 7,111 human-annotated query-summary pairs over 2,934 tables covering diverse topics.
To solve this task, a text generation system has to perform human-like reasoning and analysis ov... | [
"# QTSumm Dataset\nThe QTSumm dataset is a large-scale dataset for the task of query-focused summarization over tabular data. \nIt contains 7,111 human-annotated query-summary pairs over 2,934 tables covering diverse topics. \nTo solve this task, a text generation system has to perform human-like reasoning and anal... | [
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f63cbd7b041318d3c5957908f0abaca693783bf0 | # Dataset Card for "captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Falah/captions | [
"region:us"
] | 2023-12-29T07:55:21+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6340, "num_examples": 20}], "download_size": 5010, "dataset_size": 6340}} | 2023-12-29T08:08:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "captions"
More Information needed | [
"# Dataset Card for \"captions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"captions\"\n\nMore Information needed"
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6,
12
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"passage: TAGS\n#region-us \n# Dataset Card for \"captions\"\n\nMore Information needed"
] |
f944ff9e0cd6d635e6204afb2e8bf07a430cb225 |
View the project page:
https://github.com/dvlab-research/DiagGSM8K
see our paper at https://arxiv.org/abs/2312.17080
# Description
In this work, we introduce a novel evaluation paradigm for Large Language Models,
one that challenges them to engage in meta-reasoning. Our paradigm shifts the focus from result-orient... | Randolphzeng/DiagGSM8K | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"code",
"math",
"arxiv:2312.17080",
"region:us"
] | 2023-12-29T08:24:00+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering", "text-generation"], "pretty_name": "DiagGSM8k", "tags": ["code", "math"]} | 2024-01-07T04:07:46+00:00 | [
"2312.17080"
] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #size_categories-1K<n<10K #language-English #license-apache-2.0 #code #math #arxiv-2312.17080 #region-us
| View the project page:
URL
see our paper at URL
Description
===========
In this work, we introduce a novel evaluation paradigm for Large Language Models,
one that challenges them to engage in meta-reasoning. Our paradigm shifts the focus from result-oriented assessments,
which often overlook the reasoning process... | [] | [
"TAGS\n#task_categories-question-answering #task_categories-text-generation #size_categories-1K<n<10K #language-English #license-apache-2.0 #code #math #arxiv-2312.17080 #region-us \n"
] | [
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] |
520011214eec223c923b1be420500f4c4048769d |
# Dataset card for SVHN
The Street View House Numbers (SVHN) dataset serves as a real-world image dataset designed for the development of machine learning and object recognition algorithms, characterized by minimal requirements on data preprocessing and formatting. Similar in essence to MNIST, featuring small cropped ... | MuGeminorum/svhn | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"legal",
"region:us"
] | 2023-12-29T08:28:28+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "The Street View House Numbers (SVHN) Dataset", "tags": ["legal"]} | 2024-01-13T02:11:13+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-mit #legal #region-us
|
# Dataset card for SVHN
The Street View House Numbers (SVHN) dataset serves as a real-world image dataset designed for the development of machine learning and object recognition algorithms, characterized by minimal requirements on data preprocessing and formatting. Similar in essence to MNIST, featuring small cropped ... | [
"# Dataset card for SVHN\nThe Street View House Numbers (SVHN) dataset serves as a real-world image dataset designed for the development of machine learning and object recognition algorithms, characterized by minimal requirements on data preprocessing and formatting. Similar in essence to MNIST, featuring small cro... | [
"TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-mit #legal #region-us \n",
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bc3b705517c6b9f1720cef209693f76287ffbea7 |
# BEE-spoke-data/yahoo_answers_topics-long-text
1024 or more tokens in 'text'
```py
DatasetDict({
train: Dataset({
features: ['id', 'topic', 'question_title', 'question_content', 'best_answer', 'token_count', 'text'],
num_rows: 3352
})
test: Dataset({
features: ['id', 'topic', 'q... | BEE-spoke-data/yahoo_answers_topics-long-text | [
"task_categories:text-classification",
"source_datasets:yahoo_answers_topics",
"license:apache-2.0",
"region:us"
] | 2023-12-29T08:46:44+00:00 | {"license": "apache-2.0", "source_datasets": "yahoo_answers_topics", "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "topic", "dtype": {"class_label": {"names": {"0": "Society & Culture", "1": "Science & Mathematics", "2": "Health", "3": "Education & ... | 2023-12-29T08:48:34+00:00 | [] | [] | TAGS
#task_categories-text-classification #source_datasets-yahoo_answers_topics #license-apache-2.0 #region-us
|
# BEE-spoke-data/yahoo_answers_topics-long-text
1024 or more tokens in 'text'
| [
"# BEE-spoke-data/yahoo_answers_topics-long-text\n\n\n1024 or more tokens in 'text'"
] | [
"TAGS\n#task_categories-text-classification #source_datasets-yahoo_answers_topics #license-apache-2.0 #region-us \n",
"# BEE-spoke-data/yahoo_answers_topics-long-text\n\n\n1024 or more tokens in 'text'"
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39,
29
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] |
639fb859783e8b4c7c27ba2042706f7209a82ba6 | # Dataset Card for "cifar100_2_to_100_constant_size_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | noahshinn/cifar100_2_to_100_constant_size_dataset | [
"region:us"
] | 2023-12-29T09:46:42+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "cifar100_2", "path": "data/cifar100_2-*"}, {"split": "cifar100_3", "path": "data/cifar100_3-*"}, {"split": "cifar100_4", "path": "data/cifar100_4-*"}, {"split": "cifar100_5", "path": "data/cifar100_5-*"}, {"split": "cifar100_6", "path": "data/cifar100_6-... | 2023-12-29T09:51:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cifar100_2_to_100_constant_size_dataset"
More Information needed | [
"# Dataset Card for \"cifar100_2_to_100_constant_size_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cifar100_2_to_100_constant_size_dataset\"\n\nMore Information needed"
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6,
27
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"passage: TAGS\n#region-us \n# Dataset Card for \"cifar100_2_to_100_constant_size_dataset\"\n\nMore Information needed"
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c0a00d6c3881f1d6d6420af4992f386761adc01e | <h2><a href="https://www.globalfitnessmart.com/get-sanguinem-pressura"><strong>Sanguinem Pressura — Official Website Link — Click Here</strong></a></h2>
<h2><strong>►❱❱ Product Name ➥ <a href="https://www.globalfitnessmart.com/get-sanguinem-pressura">{Sanguinem Pressura} {Antique Formula Sanguinem Pressura}... | sanguinemformula/antique-formula-sanguinem-pressura | [
"region:us"
] | 2023-12-29T10:09:06+00:00 | {} | 2023-12-29T10:09:19+00:00 | [] | [] | TAGS
#region-us
| <h2><a href="URL Pressura — Official Website Link — Click Here</strong></a></h2>
<h2><strong>► Product Name <a href="URL Pressura} {Antique Formula Sanguinem Pressura}</a></strong><br /><strong>► Countries Available World Wide</strong><br /><strong>► Composition Natural Organic Compound</strong><br /><st... | [
"# 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... | [
"TAGS\n#region-us \n",
"# 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=\"UR... | [
6,
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edcedc5913c7fca5b159ca75496d780776920d09 |
# Dataset of Satanichia Kurumizawa McDowell
This is the dataset of Satanichia Kurumizawa McDowell, containing 309 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization... | CyberHarem/satanichia_kurumizawa_mcdowell_gabrieldropout | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-29T10:15:48+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-29T10:17:27+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Satanichia Kurumizawa McDowell
=========================================
This is the dataset of Satanichia Kurumizawa McDowell, containing 309 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface or... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
cd73014e3fc9b5c5d254efae4120c9d02034ec39 |
Overview
This dataset is a comprehensive collection of popular Hindi instruction-type datasets. It has been meticulously curated and merged into a unified format, making it ideal for use with Hugging Face's alignment notebook. The primary objective of creating this dataset is to offer a single, standardized resourc... | rohansolo/BB_HindiHinglishV2 | [
"language:hi",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-29T10:16:16+00:00 | {"language": ["hi", "en"], "license": "cc-by-nc-4.0", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "category", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "... | 2023-12-31T09:04:46+00:00 | [] | [
"hi",
"en"
] | TAGS
#language-Hindi #language-English #license-cc-by-nc-4.0 #region-us
|
Overview
This dataset is a comprehensive collection of popular Hindi instruction-type datasets. It has been meticulously curated and merged into a unified format, making it ideal for use with Hugging Face's alignment notebook. The primary objective of creating this dataset is to offer a single, standardized resourc... | [] | [
"TAGS\n#language-Hindi #language-English #license-cc-by-nc-4.0 #region-us \n"
] | [
25
] | [
"passage: TAGS\n#language-Hindi #language-English #license-cc-by-nc-4.0 #region-us \n"
] |
792fc9029ceb0fb9ca00137c72a6de3a001a4889 |
# Dataset Card for Evaluation run of wang7776/Mistral-7B-Instruct-v0.2-sparsity-10
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [wang7776/Mistral-7B-Instruct-v0.2-sparsity-10](https://huggingface.co/wang7776/Mistral-7B-Instruct-v0.2-sparsity-10) on... | open-llm-leaderboard/details_wang7776__Mistral-7B-Instruct-v0.2-sparsity-10 | [
"region:us"
] | 2023-12-29T10:16:58+00:00 | {"pretty_name": "Evaluation run of wang7776/Mistral-7B-Instruct-v0.2-sparsity-10", "dataset_summary": "Dataset automatically created during the evaluation run of model [wang7776/Mistral-7B-Instruct-v0.2-sparsity-10](https://huggingface.co/wang7776/Mistral-7B-Instruct-v0.2-sparsity-10) on the [Open LLM Leaderboard](http... | 2023-12-29T10:17:47+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of wang7776/Mistral-7B-Instruct-v0.2-sparsity-10
Dataset automatically created during the evaluation run of model wang7776/Mistral-7B-Instruct-v0.2-sparsity-10 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated t... | [
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da8e211c31260e40988fa40232a4f3a47db8ffdf |
# Dataset Card for Evaluation run of diffnamehard/Mistral-CatMacaroni-slerp-uncensored
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [diffnamehard/Mistral-CatMacaroni-slerp-uncensored](https://huggingface.co/diffnamehard/Mistral-CatMacaroni-slerp-un... | open-llm-leaderboard/details_diffnamehard__Mistral-CatMacaroni-slerp-uncensored | [
"region:us"
] | 2023-12-29T10:26:20+00:00 | {"pretty_name": "Evaluation run of diffnamehard/Mistral-CatMacaroni-slerp-uncensored", "dataset_summary": "Dataset automatically created during the evaluation run of model [diffnamehard/Mistral-CatMacaroni-slerp-uncensored](https://huggingface.co/diffnamehard/Mistral-CatMacaroni-slerp-uncensored) on the [Open LLM Leade... | 2023-12-29T10:26:44+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of diffnamehard/Mistral-CatMacaroni-slerp-uncensored
Dataset automatically created during the evaluation run of model diffnamehard/Mistral-CatMacaroni-slerp-uncensored on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the eva... | [
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003c300c110c5d04bd34c67db1193c71070ea1f6 |
# stackoverflow questions for text classification: 'long'
This is `pacovaldez/stackoverflow-questions` filtered for 1024 GPT2 tokens or more in `title` + `body`
https://huggingface.co/datasets/pacovaldez/stackoverflow-questions
---
| BEE-spoke-data/stackoverflow-questions-long | [
"task_categories:text-classification",
"task_categories:text-generation",
"size_categories:100K<n<1M",
"source_datasets:pacovaldez/stackoverflow-questions",
"license:apache-2.0",
"region:us"
] | 2023-12-29T10:37:52+00:00 | {"license": "apache-2.0", "size_categories": ["100K<n<1M"], "source_datasets": "pacovaldez/stackoverflow-questions", "task_categories": ["text-classification", "text-generation"], "dataset_info": [{"config_name": "default", "features": [{"name": "title", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name":... | 2023-12-29T16:39:02+00:00 | [] | [] | TAGS
#task_categories-text-classification #task_categories-text-generation #size_categories-100K<n<1M #source_datasets-pacovaldez/stackoverflow-questions #license-apache-2.0 #region-us
|
# stackoverflow questions for text classification: 'long'
This is 'pacovaldez/stackoverflow-questions' filtered for 1024 GPT2 tokens or more in 'title' + 'body'
URL
---
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5d1170d9f698260a7c9248f35b3685bb82f9ec38 |
# Dataset of Raphiel Shiraha Ainsworth
This is the dataset of Raphiel Shiraha Ainsworth, containing 228 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://... | CyberHarem/raphiel_shiraha_ainsworth_gabrieldropout | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-29T10:40:59+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-29T10:42:18+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Raphiel Shiraha Ainsworth
====================================
This is the dataset of Raphiel Shiraha Ainsworth, containing 228 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
5855fd551ae3a9cc871a540ad30046cf0e184d5d |
# Dataset Card for Evaluation run of mlabonne/GML-Mistral-merged-v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [mlabonne/GML-Mistral-merged-v1](https://huggingface.co/mlabonne/GML-Mistral-merged-v1) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_mlabonne__GML-Mistral-merged-v1 | [
"region:us"
] | 2023-12-29T10:48:45+00:00 | {"pretty_name": "Evaluation run of mlabonne/GML-Mistral-merged-v1", "dataset_summary": "Dataset automatically created during the evaluation run of model [mlabonne/GML-Mistral-merged-v1](https://huggingface.co/mlabonne/GML-Mistral-merged-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-12-29T10:49:08+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of mlabonne/GML-Mistral-merged-v1
Dataset automatically created during the evaluation run of model mlabonne/GML-Mistral-merged-v1 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 cre... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of mlabonne/GML-Mistral-merged-v1\n\n\n\nDataset automatically created during the evaluation run of model mlabonne/GML-Mistral-merged-v1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the eva... |
544726dd60c517db8d31451ed47d9107572fd729 | # 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).
## D... | mosh2i/mimi_tokenizer | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:bn",
"language:en",
"region:us"
] | 2023-12-29T11:02:45+00:00 | {"language": ["bn", "en"], "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"]} | 2023-12-30T12:18:27+00:00 | [] | [
"bn",
"en"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-Bengali #language-English #region-us
| # 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
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
### Dataset Sources [opti... | [
"# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
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edfa09348b318a3b7a74e9184b07864899d53b8e |
# Dataset Card for Evaluation run of GeneZC/MiniMA-2-3B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [GeneZC/MiniMA-2-3B](https://huggingface.co/GeneZC/MiniMA-2-3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_... | open-llm-leaderboard/details_GeneZC__MiniMA-2-3B | [
"region:us"
] | 2023-12-29T11:08:45+00:00 | {"pretty_name": "Evaluation run of GeneZC/MiniMA-2-3B", "dataset_summary": "Dataset automatically created during the evaluation run of model [GeneZC/MiniMA-2-3B](https://huggingface.co/GeneZC/MiniMA-2-3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is ... | 2023-12-29T11:09:06+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of GeneZC/MiniMA-2-3B
Dataset automatically created during the evaluation run of model GeneZC/MiniMA-2-3B 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... | [
"# Dataset Card for Evaluation run of GeneZC/MiniMA-2-3B\n\n\n\nDataset automatically created during the evaluation run of model GeneZC/MiniMA-2-3B 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 created from 1 ... | [
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"# Dataset Card for Evaluation run of GeneZC/MiniMA-2-3B\n\n\n\nDataset automatically created during the evaluation run of model GeneZC/MiniMA-2-3B 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... | [
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0ca4908ee5b9610bc3b739e1e67dff6120df0675 |
[JVNVコーパス(言語音声と非言語音声を持つ日本語感情音声コーパス)](https://sites.google.com/site/shinnosuketakamichi/research-topics/jvnv_corpus)の、非言語音声部分を削除した音声ファイルと、非言語音声部分を削除した書き起こしファイルのデータセットです。
元のJVNVコーパスに存在する非言語音声の区間情報を利用し、その部分を単純にカットしただけになります。
また書き起こしファイルは、元の書き起こしファイルから非言語音声に対応する部分を単純に削っただけになります。
全てをチェックはしていないので、書き起こし等のどこかにおかしいところがあるかもしれ... | litagin/jvnv_corpus_v1_no_nv | [
"license:cc-by-sa-4.0",
"region:us"
] | 2023-12-29T11:11:15+00:00 | {"license": "cc-by-sa-4.0"} | 2023-12-29T11:30:59+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
JVNVコーパス(言語音声と非言語音声を持つ日本語感情音声コーパス)の、非言語音声部分を削除した音声ファイルと、非言語音声部分を削除した書き起こしファイルのデータセットです。
元のJVNVコーパスに存在する非言語音声の区間情報を利用し、その部分を単純にカットしただけになります。
また書き起こしファイルは、元の書き起こしファイルから非言語音声に対応する部分を単純に削っただけになります。
全てをチェックはしていないので、書き起こし等のどこかにおかしいところがあるかもしれません、ご了承ください。
ライセンスはもとのライセンスを継承してCC BY-SA-4.0です。 | [] | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n"
] | [
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] | [
"passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n"
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6c8c7afc6b3ead8d6422a65ecad7be571673d4a8 |
# Dataset Card for Evaluation run of PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0](https://huggingface.co/PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0) on the [Open LLM Lea... | open-llm-leaderboard/details_PracticeLLM__SOLAR-tail-10.7B-Merge-v1.0 | [
"region:us"
] | 2023-12-29T11:14:15+00:00 | {"pretty_name": "Evaluation run of PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0", "dataset_summary": "Dataset automatically created during the evaluation run of model [PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0](https://huggingface.co/PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0) on the [Open LLM Leaderboard](https://huggingface.co... | 2023-12-29T11:14:37+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
Dataset automatically created during the evaluation run of model PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The da... | [
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"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0\n\n\n\nDataset automatically created during the evaluation run of model PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to... | [
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a0aa0e5eb210fd18b422070d24dc9ffab67a48bb |
# Dataset of Gabriel Tenma White
This is the dataset of Gabriel Tenma White, containing 353 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.... | CyberHarem/gabriel_tenma_white_gabrieldropout | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-29T11:24:46+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-29T11:27:23+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Gabriel Tenma White
==============================
This is the dataset of Gabriel Tenma White, containing 353 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
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44
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"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
b36331c548b976fc6220d57d0b43f8f1ff2b2f45 |
# MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection (SAMPLE)
This is a 100-entry sample of a meta-collection of 36 hate speech datasets from social media comments.
## Dataset Structure
The original dataset contains 1,226,202 social media posts in a TSV file. This is a sample of 100 entries. Each eleme... | irlab-udc/metahate-sample | [
"task_categories:text-classification",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-29T11:27:49+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["text-classification"], "pretty_name": "metahate-sample"} | 2024-01-04T16:14:44+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-n<1K #language-English #license-apache-2.0 #region-us
| MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection (SAMPLE)
==========================================================================
This is a 100-entry sample of a meta-collection of 36 hate speech datasets from social media comments.
Dataset Structure
-----------------
The original dataset cont... | [] | [
"TAGS\n#task_categories-text-classification #size_categories-n<1K #language-English #license-apache-2.0 #region-us \n"
] | [
39
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] |
e026ef33db382a0e70997b25b584a07e1532c8db |
# Wikipedia Fisica en Español
Extract of wikipedia physics articles in Spanish for training.
## Usage:
```
from datasets import load_dataset
dataset = load_dataset("ecastera/wiki_fisica")
print(dataset)
```
Single column 'text' trimmed to 1280 chars max length.
## Dataset splits:
```
DatasetDict({
train: Dat... | ecastera/wiki_fisica | [
"task_categories:text-generation",
"task_categories:summarization",
"language:es",
"license:gpl",
"region:us"
] | 2023-12-29T11:37:24+00:00 | {"language": ["es"], "license": "gpl", "task_categories": ["text-generation", "summarization"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7728754, "num_examples": 11588}, {"name": "test", "num_bytes": 39878, "num_examples": 61}], "download_size": 43244... | 2023-12-29T12:11:17+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-generation #task_categories-summarization #language-Spanish #license-gpl #region-us
|
# Wikipedia Fisica en Español
Extract of wikipedia physics articles in Spanish for training.
## Usage:
Single column 'text' trimmed to 1280 chars max length.
## Dataset splits:
| [
"# Wikipedia Fisica en Español\n\nExtract of wikipedia physics articles in Spanish for training.",
"## Usage:\n\n\nSingle column 'text' trimmed to 1280 chars max length.",
"## Dataset splits:"
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] |
9d6cea226d09db5c02720b5d0de2e5edc61d0a9d | # Dataset Card for "typescript_ins_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/typescript_ins_binarized | [
"region:us"
] | 2023-12-29T11:40:58+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-29T11:41:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "typescript_ins_binarized"
More Information needed | [
"# Dataset Card for \"typescript_ins_binarized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"typescript_ins_binarized\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"typescript_ins_binarized\"\n\nMore Information needed"
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d2b8b50bca7df13fd6b952bba436a0b1de472cb4 |
# Dataset Card for Evaluation run of kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1](https://huggingface.co/kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1) on the [... | open-llm-leaderboard/details_kyujinpy__Sakura-SOLRCA-Math-Instruct-DPO-v1 | [
"region:us"
] | 2023-12-29T11:45:32+00:00 | {"pretty_name": "Evaluation run of kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1", "dataset_summary": "Dataset automatically created during the evaluation run of model [kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1](https://huggingface.co/kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1) on the [Open LLM Leaderboard](https://hu... | 2023-12-29T11:45:54+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1
Dataset automatically created during the evaluation run of model kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.... | [
"# Dataset Card for Evaluation run of kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1\n\n\n\nDataset automatically created during the evaluation run of model kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evalu... | [
"TAGS\n#region-us \n",
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aa2e74350779f3b6fcf48d99f348b9c39655873c | # Dataset Card for "evol_codealpaca_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/evol_codealpaca_binarized | [
"region:us"
] | 2023-12-29T11:50:09+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-29T11:50:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "evol_codealpaca_binarized"
More Information needed | [
"# Dataset Card for \"evol_codealpaca_binarized\"\n\nMore Information needed"
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8f6597b7d9a1c504a72ee340a336c9d9003e107b | Corpus are too large. If you want to download corpus, please visit [official page](https://github.com/facebookresearch/concurrentqa?tab=readme-ov-file#reasoning-over-public-and-private-data-in-retrieval-based-systems)
https://huggingface.co/datasets/simarora/ConcurrentQA | NomaDamas/concurrentqa | [
"license:mit",
"region:us"
] | 2023-12-29T11:56:30+00:00 | {"license": "mit"} | 2023-12-29T12:11:56+00:00 | [] | [] | TAGS
#license-mit #region-us
| Corpus are too large. If you want to download corpus, please visit official page
URL | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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74303f8295e8084faf00c519971b5c05320eda03 | # Dataset Card for "multiturn_programming_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/multiturn_programming_binarized | [
"region:us"
] | 2023-12-29T11:56:43+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-29T11:57:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "multiturn_programming_binarized"
More Information needed | [
"# Dataset Card for \"multiturn_programming_binarized\"\n\nMore Information needed"
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baa8a9fc155c5a3aebb475356f85e78d4c33927f |
# Dataset Card for Evaluation run of SuperAGI/SAM
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SuperAGI/SAM](https://huggingface.co/SuperAGI/SAM) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The... | open-llm-leaderboard/details_SuperAGI__SAM | [
"region:us"
] | 2023-12-29T12:00:21+00:00 | {"pretty_name": "Evaluation run of SuperAGI/SAM", "dataset_summary": "Dataset automatically created during the evaluation run of model [SuperAGI/SAM](https://huggingface.co/SuperAGI/SAM) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of 63 con... | 2023-12-29T12:00:47+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SuperAGI/SAM
Dataset automatically created during the evaluation run of model SuperAGI/SAM 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 run can be ... | [
"# Dataset Card for Evaluation run of SuperAGI/SAM\n\n\n\nDataset automatically created during the evaluation run of model SuperAGI/SAM 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 created from 1 run(s). Each... | [
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d604dcc26a9a19035a3c951bde6d3a77f081af85 |
# Dataset of Vignette Tsukinose April
This is the dataset of Vignette Tsukinose April, containing 371 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://hu... | CyberHarem/vignette_tsukinose_april_gabrieldropout | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-29T12:05:49+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-29T12:10:08+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Vignette Tsukinose April
===================================
This is the dataset of Vignette Tsukinose April, containing 371 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
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79d04fb1ca049d6a1e4bc5c40d11f9100f12b0d2 | # Dataset Card for "spider_sql_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/spider_sql_binarized | [
"region:us"
] | 2023-12-29T12:13:24+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-29T12:13:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "spider_sql_binarized"
More Information needed | [
"# Dataset Card for \"spider_sql_binarized\"\n\nMore Information needed"
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9a815e8f0d21f73e04dd479eea23024835350031 |
# Clasicos de Filosofia en Español
Extract of classic phylosophy texts in Spanish for training.
Trimed to 1280 characteres max per row to fit in my GPUs batches.
This dataset adds vocabulary richness and variety and could improve reasoning performance of LLMs.
* Apologia de Socrates
* Aristoteles - Etica A Nicomaco... | ecastera/filosofia-es | [
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"task_categories:text2text-generation",
"language:es",
"license:cc",
"spanish",
"philosophy",
"training",
"classics",
"region:us"
] | 2023-12-29T12:13:40+00:00 | {"language": ["es"], "license": "cc", "task_categories": ["text-generation", "text-classification", "summarization", "text2text-generation"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7017810, "num_examples": 7131}, {"name": "test", "num_bytes": 175168... | 2023-12-29T12:29:02+00:00 | [] | [
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|
# Clasicos de Filosofia en Español
Extract of classic phylosophy texts in Spanish for training.
Trimed to 1280 characteres max per row to fit in my GPUs batches.
This dataset adds vocabulary richness and variety and could improve reasoning performance of LLMs.
* Apologia de Socrates
* Aristoteles - Etica A Nicomaco... | [
"# Clasicos de Filosofia en Español\n\nExtract of classic phylosophy texts in Spanish for training.\nTrimed to 1280 characteres max per row to fit in my GPUs batches.\nThis dataset adds vocabulary richness and variety and could improve reasoning performance of LLMs.\n\n* Apologia de Socrates \n* Aristoteles - Etica... | [
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dc33fd53bcba8c86da00c444bda1280ad37076de |
# Dataset of Tapris Sugarbell Chisaki
This is the dataset of Tapris Sugarbell Chisaki, containing 75 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://hug... | CyberHarem/tapris_sugarbell_chisaki_gabrieldropout | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-29T12:19:26+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-29T12:22:56+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Tapris Sugarbell Chisaki
===================================
This is the dataset of Tapris Sugarbell Chisaki, containing 75 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
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ba01633db10aea771513706f8fa3c67f63381fe4 | # Swahili: CC-100: Monolingual Datasets from Web Crawl Data
This is a Swahili corpus obtained from [CC-100: Monolingual Datasets from Web Crawl Data
](https://data.statmt.org/cc-100/) | mwitiderrick/swahili | [
"task_categories:text-generation",
"size_categories:10M<n<100M",
"language:sw",
"license:apache-2.0",
"region:us"
] | 2023-12-29T12:40:52+00:00 | {"language": ["sw"], "license": "apache-2.0", "size_categories": ["10M<n<100M"], "task_categories": ["text-generation"], "pretty_name": " Swahili Corpus"} | 2023-12-29T12:51:43+00:00 | [] | [
"sw"
] | TAGS
#task_categories-text-generation #size_categories-10M<n<100M #language-Swahili (macrolanguage) #license-apache-2.0 #region-us
| # Swahili: CC-100: Monolingual Datasets from Web Crawl Data
This is a Swahili corpus obtained from CC-100: Monolingual Datasets from Web Crawl Data
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] |
be4671968b07334c960c0f9bd7434da36a5b5d2a |
# Dataset Card for Evaluation run of Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear](https://huggingface.co/Weyaxi/MetaMath-NeuralHermes-2.5-Mistra... | open-llm-leaderboard/details_Weyaxi__MetaMath-NeuralHermes-2.5-Mistral-7B-Linear | [
"region:us"
] | 2023-12-29T13:00:47+00:00 | {"pretty_name": "Evaluation run of Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear](https://huggingface.co/Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear) on the [Open LLM Le... | 2023-12-29T13:01:07+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear
Dataset automatically created during the evaluation run of model Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the e... | [
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ab0c435bd3c6572b2d8d59f196f9e898a6368280 | # Dataset Card for "hellaswag-translated"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ai4bharat/hellaswag-hi | [
"region:us"
] | 2023-12-29T13:18:39+00:00 | {"dataset_info": {"features": [{"name": "ind", "dtype": "int32"}, {"name": "activity_label", "dtype": "string"}, {"name": "ctx_a", "dtype": "string"}, {"name": "ctx_b", "dtype": "string"}, {"name": "source_id", "dtype": "string"}, {"name": "split", "dtype": "string"}, {"name": "split_type", "dtype": "string"}, {"name":... | 2024-01-13T08:10:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hellaswag-translated"
More Information needed | [
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b516806fda963fc9d19aab850ee4b8f48f200c5c |
# Dataset Card for Evaluation run of liuda1/dm7b_sft_gpt88w_merge
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [liuda1/dm7b_sft_gpt88w_merge](https://huggingface.co/liuda1/dm7b_sft_gpt88w_merge) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_liuda1__dm7b_sft_gpt88w_merge | [
"region:us"
] | 2023-12-29T14:00:24+00:00 | {"pretty_name": "Evaluation run of liuda1/dm7b_sft_gpt88w_merge", "dataset_summary": "Dataset automatically created during the evaluation run of model [liuda1/dm7b_sft_gpt88w_merge](https://huggingface.co/liuda1/dm7b_sft_gpt88w_merge) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2023-12-29T14:00:48+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of liuda1/dm7b_sft_gpt88w_merge
Dataset automatically created during the evaluation run of model liuda1/dm7b_sft_gpt88w_merge 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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9a801edcf536bf337cc53fafb899a937dbb827b2 |
# Dataset Card for Evaluation run of fblgit/UNAversal-8x7B-v1beta
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [fblgit/UNAversal-8x7B-v1beta](https://huggingface.co/fblgit/UNAversal-8x7B-v1beta) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_fblgit__UNAversal-8x7B-v1beta | [
"region:us"
] | 2023-12-29T14:01:11+00:00 | {"pretty_name": "Evaluation run of fblgit/UNAversal-8x7B-v1beta", "dataset_summary": "Dataset automatically created during the evaluation run of model [fblgit/UNAversal-8x7B-v1beta](https://huggingface.co/fblgit/UNAversal-8x7B-v1beta) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2023-12-29T14:01:34+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of fblgit/UNAversal-8x7B-v1beta
Dataset automatically created during the evaluation run of model fblgit/UNAversal-8x7B-v1beta 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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7ef223b49ed6018b854d4e77d1dc6d4460e7e6e2 | # Dataset Card for "vocalset_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/vocalset_synth | [
"region:us"
] | 2023-12-29T14:07:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"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... | 2024-01-29T14:42:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vocalset_synth"
More Information needed | [
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a784f6e9dd9b94ffdc2495163afd2bb5a14dbddd |
# Dataset Card for Evaluation run of hiyouga/Qwen-14B-Chat-LLaMAfied
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [hiyouga/Qwen-14B-Chat-LLaMAfied](https://huggingface.co/hiyouga/Qwen-14B-Chat-LLaMAfied) on the [Open LLM Leaderboard](https://huggin... | open-llm-leaderboard/details_hiyouga__Qwen-14B-Chat-LLaMAfied | [
"region:us"
] | 2023-12-29T14:11:44+00:00 | {"pretty_name": "Evaluation run of hiyouga/Qwen-14B-Chat-LLaMAfied", "dataset_summary": "Dataset automatically created during the evaluation run of model [hiyouga/Qwen-14B-Chat-LLaMAfied](https://huggingface.co/hiyouga/Qwen-14B-Chat-LLaMAfied) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/op... | 2023-12-29T14:12:09+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of hiyouga/Qwen-14B-Chat-LLaMAfied
Dataset automatically created during the evaluation run of model hiyouga/Qwen-14B-Chat-LLaMAfied 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 c... | [
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3275309ff0a35af078f80be7b200d76332af0fd3 | # Dataset Card for "training_v0.0.4-public"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | male-2/training_v0.0.4-public | [
"region:us"
] | 2023-12-29T14:30:11+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 276, "num_examples": 1}], "download_size": 2824, "dataset_size": 276}, "configs": [{"config_name": ... | 2023-12-29T14:30:16+00:00 | [] | [] | TAGS
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| # Dataset Card for "training_v0.0.4-public"
More Information needed | [
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# Dataset Card for Evaluation run of Yhyu13/LMCocktail-Mistral-7B-v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Yhyu13/LMCocktail-Mistral-7B-v1](https://huggingface.co/Yhyu13/LMCocktail-Mistral-7B-v1) on the [Open LLM Leaderboard](https://huggin... | open-llm-leaderboard/details_Yhyu13__LMCocktail-Mistral-7B-v1 | [
"region:us"
] | 2023-12-29T14:30:46+00:00 | {"pretty_name": "Evaluation run of Yhyu13/LMCocktail-Mistral-7B-v1", "dataset_summary": "Dataset automatically created during the evaluation run of model [Yhyu13/LMCocktail-Mistral-7B-v1](https://huggingface.co/Yhyu13/LMCocktail-Mistral-7B-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/op... | 2023-12-29T14:31:09+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Yhyu13/LMCocktail-Mistral-7B-v1
Dataset automatically created during the evaluation run of model Yhyu13/LMCocktail-Mistral-7B-v1 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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# Dataset Card for Evaluation run of abdulrahman-nuzha/finetuned-llama2-chat-5000-v2.0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [abdulrahman-nuzha/finetuned-llama2-chat-5000-v2.0](https://huggingface.co/abdulrahman-nuzha/finetuned-llama2-chat-5... | open-llm-leaderboard/details_abdulrahman-nuzha__finetuned-llama2-chat-5000-v2.0 | [
"region:us"
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# Dataset Card for Evaluation run of abdulrahman-nuzha/finetuned-llama2-chat-5000-v2.0
Dataset automatically created during the evaluation run of model abdulrahman-nuzha/finetuned-llama2-chat-5000-v2.0 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the eva... | [
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1ea3c87117f67f046dcbaf47cdcfd861c7c144c3 | # rt-cogensumm dataset
Red teaming cogensumm dataset.
Generated from the ["Correctness of Generated Summaries" dataset](https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2002?show=full).
## Dataset Description
- **Homepage:** [HF homepage](https://hf.co/datasets/innodatalabs/rt-cogensumm)
- **Repository:** [HF... | innodatalabs/rt-cogensumm | [
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| # rt-cogensumm dataset
Red teaming cogensumm dataset.
Generated from the "Correctness of Generated Summaries" dataset.
## Dataset Description
- Homepage: HF homepage
- Repository: HF repo
- Paper: arXiv
- Point of Contact: David Nadeau
## Dataset Structure
### Sample
## Usage
## License
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# Dataset Card for Evaluation run of kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2](https://huggingface.co/kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2) on the [... | open-llm-leaderboard/details_kyujinpy__Sakura-SOLRCA-Math-Instruct-DPO-v2 | [
"region:us"
] | 2023-12-29T14:43:40+00:00 | {"pretty_name": "Evaluation run of kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2](https://huggingface.co/kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2) on the [Open LLM Leaderboard](https://hu... | 2023-12-29T14:44:01+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2
Dataset automatically created during the evaluation run of model kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2 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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# 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).
## ... | hyanwang/sanguo | [
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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 Card for Evaluation run of Weyaxi/Seraph-openchat-3.5-1210-Slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/Seraph-openchat-3.5-1210-Slerp](https://huggingface.co/Weyaxi/Seraph-openchat-3.5-1210-Slerp) on the [Open LLM Leaderboa... | open-llm-leaderboard/details_Weyaxi__Seraph-openchat-3.5-1210-Slerp | [
"region:us"
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# Dataset Card for Evaluation run of Weyaxi/Seraph-openchat-3.5-1210-Slerp
Dataset automatically created during the evaluation run of model Weyaxi/Seraph-openchat-3.5-1210-Slerp 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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# Dataset Card for Evaluation run of kyujinpy/Sakura-SOLRCA-Instruct-DPO
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kyujinpy/Sakura-SOLRCA-Instruct-DPO](https://huggingface.co/kyujinpy/Sakura-SOLRCA-Instruct-DPO) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_kyujinpy__Sakura-SOLRCA-Instruct-DPO | [
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# Dataset Card for Evaluation run of kyujinpy/Sakura-SOLRCA-Instruct-DPO
Dataset automatically created during the evaluation run of model kyujinpy/Sakura-SOLRCA-Instruct-DPO on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ha... | [
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2334e33fdd31810028c63ce0822bc2e25a06f2d0 | # Dataset Card for "pt_wiki_sentences_1000000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deokhk/pt_wiki_sentences_1000000 | [
"region:us"
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More Information needed | [
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# Dataset Card for Evaluation run of itsliupeng/llama2_70b_mmlu
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [itsliupeng/llama2_70b_mmlu](https://huggingface.co/itsliupeng/llama2_70b_mmlu) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_itsliupeng__llama2_70b_mmlu | [
"region:us"
] | 2023-12-29T15:27:08+00:00 | {"pretty_name": "Evaluation run of itsliupeng/llama2_70b_mmlu", "dataset_summary": "Dataset automatically created during the evaluation run of model [itsliupeng/llama2_70b_mmlu](https://huggingface.co/itsliupeng/llama2_70b_mmlu) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2023-12-29T15:27:29+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of itsliupeng/llama2_70b_mmlu
Dataset automatically created during the evaluation run of model itsliupeng/llama2_70b_mmlu 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 fro... | [
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cae6aac9ca5df3b580866ee764cef5dd7434f2e8 |
# Introduction
This dataset presents a collection of parallel texts of the Holy Quran in Arabic (Imla'ei & Uthmanic scripts) alongside 17 different English translations.
# Contents
The dataset includes the Holy Quran in Classical Arabic with the following English translations:
- "al-Qur’ân: A Contemporary Translati... | ImruQays/Quran-Classical-Arabic-English-Parallel-texts | [
"task_categories:translation",
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] | 2023-12-29T15:37:29+00:00 | {"language": ["ar", "en"], "license": "cc-by-nc-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["translation"]} | 2023-12-29T16:54:05+00:00 | [] | [
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# Introduction
This dataset presents a collection of parallel texts of the Holy Quran in Arabic (Imla'ei & Uthmanic scripts) alongside 17 different English translations.
# Contents
The dataset includes the Holy Quran in Classical Arabic with the following English translations:
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64b4a6d845c9c1dadbfe62bd3b67dc6ba0b59242 | # rt-factcc dataset
Red teaming factcc dataset.
Generated from the ["FactCC" dataset](https://github.com/salesforce/factCC)
## Dataset Description
- **Homepage:** [HF homepage](https://hf.co/datasets/innodatalabs/rt-factcc)
- **Repository:** [HF repo](https://hf.co/datasets/innodatalabs/rt-factcc)
- **Paper:** [arX... | innodatalabs/rt-factcc | [
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| # rt-factcc dataset
Red teaming factcc dataset.
Generated from the "FactCC" dataset
## Dataset Description
- Homepage: HF homepage
- Repository: HF repo
- Paper: arXiv
- Point of Contact: David Nadeau
## Dataset Structure
### Sample
## Usage
## License
Code that generates this dataset is distributed under ... | [
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51f29f602e2d3f2f4aecbc95dd003520a830a656 |
# Dataset Card for Evaluation run of Weyaxi/openchat-3.5-1210-Seraph-Slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/openchat-3.5-1210-Seraph-Slerp](https://huggingface.co/Weyaxi/openchat-3.5-1210-Seraph-Slerp) on the [Open LLM Leaderboa... | open-llm-leaderboard/details_Weyaxi__openchat-3.5-1210-Seraph-Slerp | [
"region:us"
] | 2023-12-29T16:01:44+00:00 | {"pretty_name": "Evaluation run of Weyaxi/openchat-3.5-1210-Seraph-Slerp", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/openchat-3.5-1210-Seraph-Slerp](https://huggingface.co/Weyaxi/openchat-3.5-1210-Seraph-Slerp) on the [Open LLM Leaderboard](https://huggingface.co/space... | 2024-01-08T05:20:37+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Weyaxi/openchat-3.5-1210-Seraph-Slerp
Dataset automatically created during the evaluation run of model Weyaxi/openchat-3.5-1210-Seraph-Slerp 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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# Dataset Card for Evaluation run of vikash06/mistral_v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [vikash06/mistral_v1](https://huggingface.co/vikash06/mistral_v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_l... | open-llm-leaderboard/details_vikash06__mistral_v1 | [
"region:us"
] | 2023-12-29T16:16:43+00:00 | {"pretty_name": "Evaluation run of vikash06/mistral_v1", "dataset_summary": "Dataset automatically created during the evaluation run of model [vikash06/mistral_v1](https://huggingface.co/vikash06/mistral_v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset ... | 2023-12-29T16:17:12+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of vikash06/mistral_v1
Dataset automatically created during the evaluation run of model vikash06/mistral_v1 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). Ea... | [
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ab62441da73ff3d2d8de6303186e99d260fbe4bd | # Dataset Card for "physionet_6class"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kushalps/physionet_6class | [
"region:us"
] | 2023-12-29T16:27:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"... | 2023-12-29T16:29:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "physionet_6class"
More Information needed | [
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e9ff61f91242fc67f070920fc0465287ad83225f | # rt-frank dataset
Red teaming frank dataset.
Generated from the ["FRANK" dataset](https://github.com/artidoro/frank)
## Dataset Description
- **Homepage:** [HF homepage](https://hf.co/datasets/innodatalabs/rt-frank)
- **Repository:** [HF repo](https://hf.co/datasets/innodatalabs/rt-frank)
- **Paper:** [arXiv](http... | innodatalabs/rt-frank | [
"language:en",
"red teaming",
"region:us"
] | 2023-12-29T16:32:38+00:00 | {"language": "en", "tags": ["red teaming"], "labels": {"domain": "general", "genre": "news", "skill": "summarization", "safety": "factuality"}, "dataset_info": [{"config_name": "0.0.1", "features": [{"name": "messages", "list": [{"name": "role", "dtype": "string"}, {"name": "content", "dtype": "string"}]}, {"name": "ex... | 2024-02-07T17:34:46+00:00 | [] | [
"en"
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#language-English #red teaming #region-us
| # rt-frank dataset
Red teaming frank dataset.
Generated from the "FRANK" dataset
## Dataset Description
- Homepage: HF homepage
- Repository: HF repo
- Paper: arXiv
- Point of Contact: David Nadeau
## Dataset Structure
### Sample
## Usage
## License
Code that generates this dataset is distributed under the... | [
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# Dataset Card for Evaluation run of smelborp/MixtralOrochi8x7B-Alt
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [smelborp/MixtralOrochi8x7B-Alt](https://huggingface.co/smelborp/MixtralOrochi8x7B-Alt) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_smelborp__MixtralOrochi8x7B-Alt | [
"region:us"
] | 2023-12-29T16:38:43+00:00 | {"pretty_name": "Evaluation run of smelborp/MixtralOrochi8x7B-Alt", "dataset_summary": "Dataset automatically created during the evaluation run of model [smelborp/MixtralOrochi8x7B-Alt](https://huggingface.co/smelborp/MixtralOrochi8x7B-Alt) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-12-29T16:39:13+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of smelborp/MixtralOrochi8x7B-Alt
Dataset automatically created during the evaluation run of model smelborp/MixtralOrochi8x7B-Alt 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 cre... | [
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b466ebeff9a518aa48e527c9aa2e6cbd40f63140 | # Reddit Crawler on Malaysia Subreddit using Selenium
This Hugging Face dataset repository serves as a dedicated data store for an Extract, Transform, Load (ETL) pipeline designed using MageAI. The pipeline is specifically crafted for harvesting data from the Malaysia subreddit on Reddit. Leveraging Selenium, this ETL... | Hiraishin/Reddit-Malaysia | [
"language:en",
"language:ms",
"license:apache-2.0",
"region:us"
] | 2023-12-29T16:51:38+00:00 | {"language": ["en", "ms"], "license": "apache-2.0"} | 2024-01-22T09:31:15+00:00 | [] | [
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| # Reddit Crawler on Malaysia Subreddit using Selenium
This Hugging Face dataset repository serves as a dedicated data store for an Extract, Transform, Load (ETL) pipeline designed using MageAI. The pipeline is specifically crafted for harvesting data from the Malaysia subreddit on Reddit. Leveraging Selenium, this ETL... | [
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# Dataset Card for Evaluation run of migtissera/Synthia-v3.0-11B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [migtissera/Synthia-v3.0-11B](https://huggingface.co/migtissera/Synthia-v3.0-11B) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_migtissera__Synthia-v3.0-11B | [
"region:us"
] | 2023-12-29T16:57:21+00:00 | {"pretty_name": "Evaluation run of migtissera/Synthia-v3.0-11B", "dataset_summary": "Dataset automatically created during the evaluation run of model [migtissera/Synthia-v3.0-11B](https://huggingface.co/migtissera/Synthia-v3.0-11B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2023-12-29T16:57:41+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of migtissera/Synthia-v3.0-11B
Dataset automatically created during the evaluation run of model migtissera/Synthia-v3.0-11B 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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# Dataset Card for Evaluation run of NousResearch/Nous-Hermes-2-Yi-34B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B) on the [Open LLM Leaderboard](https://... | open-llm-leaderboard/details_NousResearch__Nous-Hermes-2-Yi-34B | [
"region:us"
] | 2023-12-29T16:57:35+00:00 | {"pretty_name": "Evaluation run of NousResearch/Nous-Hermes-2-Yi-34B", "dataset_summary": "Dataset automatically created during the evaluation run of model [NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFac... | 2023-12-29T16:57:56+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of NousResearch/Nous-Hermes-2-Yi-34B
Dataset automatically created during the evaluation run of model NousResearch/Nous-Hermes-2-Yi-34B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has be... | [
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# Dataset Card for Evaluation run of DopeorNope/You_can_cry_Snowman-13B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [DopeorNope/You_can_cry_Snowman-13B](https://huggingface.co/DopeorNope/You_can_cry_Snowman-13B) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_DopeorNope__You_can_cry_Snowman-13B | [
"region:us"
] | 2023-12-29T17:07:36+00:00 | {"pretty_name": "Evaluation run of DopeorNope/You_can_cry_Snowman-13B", "dataset_summary": "Dataset automatically created during the evaluation run of model [DopeorNope/You_can_cry_Snowman-13B](https://huggingface.co/DopeorNope/You_can_cry_Snowman-13B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2023-12-29T17:08:01+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of DopeorNope/You_can_cry_Snowman-13B
Dataset automatically created during the evaluation run of model DopeorNope/You_can_cry_Snowman-13B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has ... | [
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# r/Tunisia Data set
## Dataset Description
This repository contains two datasets:
1. [output_comments.csv](output_comments.csv): This file contains the comments data. Each row represents a comment, with various attributes such as the comment ID, the post it belongs to, the user who made the comment, and the commen... | Lime1/Tunisian_reddit | [
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"language:en",
"license:mit",
"region:us"
] | 2023-12-29T17:12:00+00:00 | {"language": ["ar", "fr", "en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["conversational"], "pretty_name": "Tunisian Reddit Dataset"} | 2024-02-04T00:54:38+00:00 | [] | [
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# r/Tunisia Data set
## Dataset Description
This repository contains two datasets:
1. output_comments.csv: This file contains the comments data. Each row represents a comment, with various attributes such as the comment ID, the post it belongs to, the user who made the comment, and the comment text. (sorted by scor... | [
"# r/Tunisia Data set",
"## Dataset Description\n\nThis repository contains two datasets:\n\n1. output_comments.csv: This file contains the comments data. Each row represents a comment, with various attributes such as the comment ID, the post it belongs to, the user who made the comment, and the comment text. (so... | [
"TAGS\n#task_categories-conversational #size_categories-100K<n<1M #language-Arabic #language-French #language-English #license-mit #region-us \n",
"# r/Tunisia Data set",
"## Dataset Description\n\nThis repository contains two datasets:\n\n1. output_comments.csv: This file contains the comments data. Each row r... | [
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"passage: TAGS\n#task_categories-conversational #size_categories-100K<n<1M #language-Arabic #language-French #language-English #license-mit #region-us \n# r/Tunisia Data set## Dataset Description\n\nThis repository contains two datasets:\n\n1. output_comments.csv: This file contains the comments data. Each row repr... |
b93e22aa975557074fa108b57ac4a0016133a859 |
# Dataset Card for Evaluation run of PistachioAlt/Noromaid-Bagel-7B-Slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [PistachioAlt/Noromaid-Bagel-7B-Slerp](https://huggingface.co/PistachioAlt/Noromaid-Bagel-7B-Slerp) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_PistachioAlt__Noromaid-Bagel-7B-Slerp | [
"region:us"
] | 2023-12-29T17:29:36+00:00 | {"pretty_name": "Evaluation run of PistachioAlt/Noromaid-Bagel-7B-Slerp", "dataset_summary": "Dataset automatically created during the evaluation run of model [PistachioAlt/Noromaid-Bagel-7B-Slerp](https://huggingface.co/PistachioAlt/Noromaid-Bagel-7B-Slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2023-12-29T17:30:01+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of PistachioAlt/Noromaid-Bagel-7B-Slerp
Dataset automatically created during the evaluation run of model PistachioAlt/Noromaid-Bagel-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 ... | [
"# Dataset Card for Evaluation run of PistachioAlt/Noromaid-Bagel-7B-Slerp\n\n\n\nDataset automatically created during the evaluation run of model PistachioAlt/Noromaid-Bagel-7B-Slerp on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\n... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of PistachioAlt/Noromaid-Bagel-7B-Slerp\n\n\n\nDataset automatically created during the evaluation run of model PistachioAlt/Noromaid-Bagel-7B-Slerp on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one o... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of PistachioAlt/Noromaid-Bagel-7B-Slerp\n\n\n\nDataset automatically created during the evaluation run of model PistachioAlt/Noromaid-Bagel-7B-Slerp on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to on... |
f07f5e8399a32c01f6b4c110977f93a5f63fe9ea |
# Dataset Card for Evaluation run of YeungNLP/firefly-zephyr-6x7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [YeungNLP/firefly-zephyr-6x7b](https://huggingface.co/YeungNLP/firefly-zephyr-6x7b) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_YeungNLP__firefly-zephyr-6x7b | [
"region:us"
] | 2023-12-29T17:35:45+00:00 | {"pretty_name": "Evaluation run of YeungNLP/firefly-zephyr-6x7b", "dataset_summary": "Dataset automatically created during the evaluation run of model [YeungNLP/firefly-zephyr-6x7b](https://huggingface.co/YeungNLP/firefly-zephyr-6x7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2023-12-29T17:36:11+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of YeungNLP/firefly-zephyr-6x7b
Dataset automatically created during the evaluation run of model YeungNLP/firefly-zephyr-6x7b 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 YeungNLP/firefly-zephyr-6x7b\n\n\n\nDataset automatically created during the evaluation run of model YeungNLP/firefly-zephyr-6x7b 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 ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of YeungNLP/firefly-zephyr-6x7b\n\n\n\nDataset automatically created during the evaluation run of model YeungNLP/firefly-zephyr-6x7b 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 YeungNLP/firefly-zephyr-6x7b\n\n\n\nDataset automatically created during the evaluation run of model YeungNLP/firefly-zephyr-6x7b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluat... |
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