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81d4b39e4f6eb282d23fcc1ce338bbf2564e5363 |
by language:
- en
- es | NickyNicky/oasst2_chatml_filter_en_es | [
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"region:us"
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"es"
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#language-English #language-Spanish #region-us
|
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e3e8f23b959881b76ebc2f889b1fb114ca978181 | Japanese multi-turn conversation data was generated using Qarasu14B based on Wikipedia data. Available for non commercial use(Because Qarasu14B learned from ShareGPT).
# Model
https://huggingface.co/lightblue/qarasu-14B-chat-plus-unleashed
# Dataset
https://huggingface.co/datasets/izumi-lab/wikipedia-ja-20230720
# D... | shi3z/Qarasu_Wikipedia_Multiturn | [
"license:apache-2.0",
"region:us"
] | 2024-01-07T02:09:05+00:00 | {"license": "apache-2.0"} | 2024-01-07T04:26:18+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Japanese multi-turn conversation data was generated using Qarasu14B based on Wikipedia data. Available for non commercial use(Because Qarasu14B learned from ShareGPT).
# Model
URL
# Dataset
URL
# Developed by
FreeAI Ltd. Tsuginosuke AI Super Computer(A100 80Gx8)
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87bf45e711bb0381009d8afb7d945cafc1217c8d | Japanese multi-turn conversation data was generated using Qarasu14B based on Wikipedia data. for non commercial use(Because Qarasu14B learned from ShareGPT)
Human-gpt format conversation dataset that can be learned with Axolotl.
# Based on
https://huggingface.co/datasets/shi3z/Qarasu_Wikipedia_Multiturn
# Model
https... | shi3z/Qarasu_Wikipedia_multiturn_human_gpt_10K | [
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#task_categories-conversational #size_categories-10K<n<100K #language-Japanese #license-apache-2.0 #region-us
| Japanese multi-turn conversation data was generated using Qarasu14B based on Wikipedia data. for non commercial use(Because Qarasu14B learned from ShareGPT)
Human-gpt format conversation dataset that can be learned with Axolotl.
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046ff06d45096b8b226c606977023983de6f0a9f | # Dataset Card for "cpsc2018"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kushalps/cpsc2018 | [
"region:us"
] | 2024-01-07T03:01:14+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": {"... | 2024-01-11T02:38:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cpsc2018"
More Information needed | [
"# Dataset Card for \"cpsc2018\"\n\nMore Information needed"
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411e3b00f7fcdf43089360f11693bb03395860b7 | Rhino dataset before doing AI-guided deep cleaning. Contains 1,960,351 examples | M4-ai/Raw-Rhino | [
"task_categories:text-generation",
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"task_categories:question-answering",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-07T03:15:31+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation", "conversational", "question-answering"]} | 2024-01-28T18:54:25+00:00 | [] | [
"en"
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#task_categories-text-generation #task_categories-conversational #task_categories-question-answering #language-English #license-apache-2.0 #region-us
| Rhino dataset before doing AI-guided deep cleaning. Contains 1,960,351 examples | [] | [
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75c6606e3adbb289a304121cf37ddc4b2f3a20af |
# Federico García Lorca. Canciones, Poemas y Romances | xaviviro/FEDERICO-GARCIA-LORCA-canciones-poemas-romances | [
"size_categories:n<1K",
"language:es",
"license:apache-2.0",
"poesia",
"lorca",
"region:us"
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642510f48b4a1e00f19180caf947abfb3dd188fe | # Dataset Card for "pretrain_repeat_paraphrase"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | xwjzds/pretrain_repeat_paraphrase | [
"region:us"
] | 2024-01-07T05:03:16+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2428913416, "num_examples": 875085}], "download_size": 1508464761, "dataset_size": 2428913416}} | 2024-01-10T01:10:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pretrain_repeat_paraphrase"
More Information needed | [
"# Dataset Card for \"pretrain_repeat_paraphrase\"\n\nMore Information needed"
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ade5148d804d88f46581698a1558834b1d864800 | # Dataset Card for "bioacoustic_mel_segments"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adilhabibi/bioacoustic_mel_segments | [
"region:us"
] | 2024-01-07T05:03:31+00:00 | {"dataset_info": {"features": [{"name": "segments", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "label_idices", "dtype": "int64"}, {"name": "label_names", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 72803953, "num_examples": 1457}], "download_size": 53309954, "dataset_size": 72803953... | 2024-01-07T05:07:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bioacoustic_mel_segments"
More Information needed | [
"# Dataset Card for \"bioacoustic_mel_segments\"\n\nMore Information needed"
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1ca482b19b4635c852202d9ca87dce572f90ecb7 | # Dataset Card for "CVEs_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nganlt/CVEs_100 | [
"region:us"
] | 2024-01-07T05:07:30+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 345807, "num_examples": 1500}], "download_size": 101396, "dataset_size": 345807}} | 2024-01-07T05:12:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CVEs_100"
More Information needed | [
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ed947e50f2f0f2ead636a8b885fd2c77456bb8c7 |
# IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages
Paper link: https://arxiv.org/abs/2312.09508
Dataset link: https://huggingface.co/datasets/saifulhaq9/indicmarco
Model link: https://huggingface.co/saifulhaq9/indiccolbert
## Contributors & Acknowledgements
Key Contributors a... | saifulhaq9/indicmarco | [
"license:mit",
"arxiv:2312.09508",
"region:us"
] | 2024-01-07T05:20:10+00:00 | {"license": "mit"} | 2024-01-16T04:41:01+00:00 | [
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#license-mit #arxiv-2312.09508 #region-us
|
# IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages
Paper link: URL
Dataset link: URL
Model link: URL
## Contributors & Acknowledgements
Key Contributors and Team Members: Saiful Haq, Ashutosh Sharma, Pushpak Bhattacharyya
## Kindly cite our paper, If you are are using our da... | [
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334bbb1f92817fd005c29044a1cb595275abdc97 | # Dataset Card for "Therapydataset_formatted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ayush2312/Therapydataset_formatted | [
"region:us"
] | 2024-01-07T05:20:57+00:00 | {"dataset_info": {"features": [{"name": "train", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 407954044, "num_examples": 99086}], "download_size": 205585014, "dataset_size": 407954044}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2024-01-07T05:21:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Therapydataset_formatted"
More Information needed | [
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8794b62dd8e433dc8a77d11c81f21af0b0ad3c8f | # AIGCBench v1.0
AIGCBench is a novel and comprehensive benchmark designed for evaluating the capabilities of state-of-the-art video generation algorithms. Official dataset for the paper:**AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI**, ***BenchCouncil Transactions on Benchmarks, Stand... | stevenfan/AIGCBench_v1.0 | [
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"arxiv:2401.01651",
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| # AIGCBench v1.0
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6363f1f0b7726ff1cdd6529562502a76f1a559aa |
This is just a concatenation of several other data sets mostly converted to Alpaca style prompts to help give a good logic data set to settle some models or fine tune. | ibivibiv/variety-logic-training | [
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a568782fc96566103282dbf978c24c9ebf97ca4b | # Dataset Card for "asqa_origin"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | NomaDamas/asqa_origin | [
"region:us"
] | 2024-01-07T05:54:03+00:00 | {"dataset_info": [{"config_name": "dev", "features": [{"name": "ambiguous_question", "dtype": "string"}, {"name": "qa_pairs", "list": [{"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "short_answers", "sequence": "string"}, {"name": "wikipage", "dtype": "string"}]}, {"name": "wi... | 2024-01-07T05:55:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "asqa_origin"
More Information needed | [
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5e937f76cc36c82e966c417b5b0ea2f904841517 |
# Dataset Card for GEM/viggo
## Dataset Description
- **Homepage:** https://nlds.soe.ucsc.edu/viggo
- **Repository:** [Needs More Information]
- **Paper:** https://aclanthology.org/W19-8623/
- **Leaderboard:** N/A
- **Point of Contact:** Juraj Juraska
### Link to Main Data Card
You can find the main data card on t... | AlexFromSynlabs/sllm | [
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|
# Dataset Card for GEM/viggo
## Dataset Description
- Homepage: URL
- Repository:
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Juraj Juraska
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
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f77f1605df167e6464bfca153adc0632546cb9c1 | # Dataset Card for "training_v0.0.6-public"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | male-2/training_v0.0.6-public | [
"region:us"
] | 2024-01-07T06:35:25+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "emotion", "struct": [{"name": "joyful", "dtype": "bool"}, {"name": "sad", "dtype": "bool"}, {"n... | 2024-01-16T11:55:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "training_v0.0.6-public"
More Information needed | [
"# Dataset Card for \"training_v0.0.6-public\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"training_v0.0.6-public\"\n\nMore Information needed"
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bc44d6daa143b7ae8334ea15ffe0c32d74259b7c |
一只猫猫的说话语录。
更短的版本见这里：[Mxode/Meow-Instruct-12k](https://huggingface.co/datasets/Mxode/Meow-Instruct-12k) | Mxode/Meow-Instruct-34k | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2024-01-07T07:10:14+00:00 | {"language": ["zh"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["conversational", "text-generation"], "pretty_name": "meow-34k"} | 2024-01-09T15:15:53+00:00 | [] | [
"zh"
] | TAGS
#task_categories-conversational #task_categories-text-generation #size_categories-10K<n<100K #language-Chinese #license-apache-2.0 #region-us
|
一只猫猫的说话语录。
更短的版本见这里：Mxode/Meow-Instruct-12k | [] | [
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c97ac943a441d95a5daafbb3b3f7e99158fc6ff6 |
This dataset is created by [DeepSim: deep learning code functional similarity](https://dl.acm.org/doi/10.1145/3236024.3236068).
I downloaded `googlejam4.tar.gz` from [parasol-aser/deepsim](https://github.com/parasol-aser/deepsim/), fixed encoding of `6/googlejam6.p261.Round1B.java` and `1/googlejam1.p815.MushroomMons... | izhx/google-code-jam | [
"license:mit",
"arxiv:2310.08232",
"region:us"
] | 2024-01-07T07:48:01+00:00 | {"license": "mit"} | 2024-01-07T12:22:56+00:00 | [
"2310.08232"
] | [] | TAGS
#license-mit #arxiv-2310.08232 #region-us
| This dataset is created by DeepSim: deep learning code functional similarity.
I downloaded 'URL' from parasol-aser/deepsim, fixed encoding of '6/URL' and '1/URL', and re-compressed.
The 'all' split (all 12 problems) is consistent with their paper (I guess...).
The 'test' split (problem 5, 6, 7, 8, 12) is used in ... | [] | [
"TAGS\n#license-mit #arxiv-2310.08232 #region-us \n"
] | [
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] | [
"passage: TAGS\n#license-mit #arxiv-2310.08232 #region-us \n"
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5a69ec0aa7b9bce1decdad0149316efcb11b7fba | # Llama 2
We are unlocking the power of large language models. Our latest version of Llama is now accessible to individuals, creators, researchers and businesses of all sizes so that they can experiment, innovate and scale their ideas responsibly.
This release includes model weights and starting code for pretrained ... | SofiaHussain/big_data | [
"region:us"
] | 2024-01-07T07:48:49+00:00 | {} | 2024-01-07T08:23:03+00:00 | [] | [] | TAGS
#region-us
| Llama 2
=======
We are unlocking the power of large language models. Our latest version of Llama is now accessible to individuals, creators, researchers and businesses of all sizes so that they can experiment, innovate and scale their ideas responsibly.
This release includes model weights and starting code for pret... | [
"### Access on Hugging Face\n\n\nWe are also providing downloads on Hugging Face. You must first request a download from the Meta website using the same email address as your Hugging Face account. After doing so, you can request access to any of the models on Hugging Face and within 1-2 days your account will be gr... | [
"TAGS\n#region-us \n",
"### Access on Hugging Face\n\n\nWe are also providing downloads on Hugging Face. You must first request a download from the Meta website using the same email address as your Hugging Face account. After doing so, you can request access to any of the models on Hugging Face and within 1-2 day... | [
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83886c8cb9d116adb8565a25cc069aad26a70a3c | # Dataset Card for Python Q/A pair
<!-- Provide a quick summary of the dataset. -->
This dataset card provides information about the Python Q/A pair dataset.
## Dataset Details
### Dataset Description
The Python Q/A pair dataset is a preprocessed version of a Python Q/A dataset from StackOverflow, which was origin... | HassanSamo/Python-Q_A | [
"task_categories:question-answering",
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"python",
"region:us"
] | 2024-01-07T08:27:06+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["question-answering", "text-generation", "conversational"], "pretty_name": "StackOverflow's Python Question-Answering Pair Dataset", "tags": ["python"]} | 2024-01-24T18:39:47+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #python #region-us
| # Dataset Card for Python Q/A pair
This dataset card provides information about the Python Q/A pair dataset.
## Dataset Details
### Dataset Description
The Python Q/A pair dataset is a preprocessed version of a Python Q/A dataset from StackOverflow, which was originally hosted on Kaggle. The dataset contains high... | [
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af7d6bbc3aa8dd3ed7ce9bd673f4a164d8d10770 | <p align="center"><h1>🧠 Awesome ChatGPT Prompts [CSV dataset]</h1></p>
This is a Dataset Repository of **Awesome ChatGPT Prompts**
**[View All Prompts on GitHub](https://github.com/f/awesome-chatgpt-prompts)**
# License
CC-0
| IQRA512/gpt_prompts.csv | [
"license:cc0-1.0",
"ChatGPT",
"region:us"
] | 2024-01-07T09:31:56+00:00 | {"license": "cc0-1.0", "tags": ["ChatGPT"]} | 2024-01-07T17:43:48+00:00 | [] | [] | TAGS
#license-cc0-1.0 #ChatGPT #region-us
| <p align="center"><h1> Awesome ChatGPT Prompts [CSV dataset]</h1></p>
This is a Dataset Repository of Awesome ChatGPT Prompts
View All Prompts on GitHub
# License
CC-0
| [
"# License\n\nCC-0"
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7b2108a7d59f4de2022c881c9e68646257f90dd0 |
A RL environment called ItemSortingCart for the Godot Game Engine.
This environment was created with: https://github.com/edbeeching/godot_rl_agents
## Downloading the environment
After installing Godot RL Agents, download the environment with:
```
gdrl.env_from_hub -r edbeeching/godot_rl_ItemSortingCart
```
... | edbeeching/godot_rl_ItemSortingCart | [
"deep-reinforcement-learning",
"reinforcement-learning",
"godot-rl",
"environments",
"video-games",
"region:us"
] | 2024-01-07T09:47:39+00:00 | {"library_name": "godot-rl", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "godot-rl", "environments", "video-games"]} | 2024-01-07T12:48:34+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #godot-rl #environments #video-games #region-us
|
A RL environment called ItemSortingCart for the Godot Game Engine.
This environment was created with: URL
## Downloading the environment
After installing Godot RL Agents, download the environment with:
| [
"## Downloading the environment \n\nAfter installing Godot RL Agents, download the environment with:"
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] |
52f1e525175bf86ba405c2d587c1a06affbaaf5f | # Dataset Card for "sven"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | euisuh15/sven | [
"region:us"
] | 2024-01-07T10:02:49+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "func_name", "dtype": "string"}, {"name": "code", "dtype": "string"}, {"name": "vul_type", "dtype": "string"}, {"name": "line_changes", "... | 2024-01-07T11:41:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sven"
More Information needed | [
"# Dataset Card for \"sven\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"sven\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"sven\"\n\nMore Information needed"
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0aa0cf1ab57ec00441ef21867ba29cb7b71ee4d4 | # 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... | ichsanbhrd/gambar_eroc | [
"task_categories:feature-extraction",
"task_categories:text-generation",
"task_categories:translation",
"task_categories:fill-mask",
"task_categories:sentence-similarity",
"size_categories:n>1T",
"art",
"climate",
"region:us"
] | 2024-01-07T10:05:57+00:00 | {"size_categories": ["n>1T"], "task_categories": ["feature-extraction", "text-generation", "translation", "fill-mask", "sentence-similarity"], "pretty_name": "sweet", "tags": ["art", "climate"]} | 2024-01-07T10:21:12+00:00 | [] | [] | TAGS
#task_categories-feature-extraction #task_categories-text-generation #task_categories-translation #task_categories-fill-mask #task_categories-sentence-similarity #size_categories-n>1T #art #climate #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... | [
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4f2dcc968fb0a65e66d3f4bb999e513342bea2f3 |
Extract 3.3M tryon images from [laion_text_debiased_100M](https://huggingface.co/datasets/linyq/laion_text_debiased_100M) dataset. (imagesize > 512) | zxbsmk/tryon_3m | [
"task_categories:text-to-image",
"size_categories:1M<n<10M",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-07T10:24:26+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-to-image"]} | 2024-01-16T17:28:57+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #size_categories-1M<n<10M #language-English #license-apache-2.0 #region-us
|
Extract 3.3M tryon images from laion_text_debiased_100M dataset. (imagesize > 512) | [] | [
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8ceee1cb00dcdbf2a2864c00850c93412674ecb0 |
# Dataset Card for Evaluation run of xaviviro/FLOR-6.3B-xat
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [xaviviro/FLOR-6.3B-xat](https://huggingface.co/xaviviro/FLOR-6.3B-xat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFace... | open-llm-leaderboard/details_xaviviro__FLOR-6.3B-xat | [
"region:us"
] | 2024-01-07T11:28:10+00:00 | {"pretty_name": "Evaluation run of xaviviro/FLOR-6.3B-xat", "dataset_summary": "Dataset automatically created during the evaluation run of model [xaviviro/FLOR-6.3B-xat](https://huggingface.co/xaviviro/FLOR-6.3B-xat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2024-01-07T11:28:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of xaviviro/FLOR-6.3B-xat
Dataset automatically created during the evaluation run of model xaviviro/FLOR-6.3B-xat 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(... | [
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03e715d71230a6dc1b62d40311d572ef72306577 | # Dataset Card for "araproje_arc_tr_conf_mgpt_nearestscore_true_y"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_arc_tr_conf_mgpt_nearestscore_true_y | [
"region:us"
] | 2024-01-07T12:04:35+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 86423.0, "num... | 2024-01-07T12:04:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_arc_tr_conf_mgpt_nearestscore_true_y"
More Information needed | [
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879be01cb2ce7673422f5be498ba0eb55d46fe85 | # Dataset Card for "araproje_arc_tr_conf_mgpt_nearestscore_true"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_arc_tr_conf_mgpt_nearestscore_true | [
"region:us"
] | 2024-01-07T12:04:40+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 86423.0, "num... | 2024-01-07T12:04:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_arc_tr_conf_mgpt_nearestscore_true"
More Information needed | [
"# Dataset Card for \"araproje_arc_tr_conf_mgpt_nearestscore_true\"\n\nMore Information needed"
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68c98187b19491ce9867702786a0e1dd7449f882 | # Dataset Card for "araproje_arc_en_conf_llama_nearestscore_true_y"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_arc_en_conf_llama_nearestscore_true_y | [
"region:us"
] | 2024-01-07T12:09:20+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 80031.0, "num... | 2024-01-07T12:09:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_arc_en_conf_llama_nearestscore_true_y"
More Information needed | [
"# Dataset Card for \"araproje_arc_en_conf_llama_nearestscore_true_y\"\n\nMore Information needed"
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4c518f49f81d8f5cdcd50f8c61630a215e3437b4 | # Dataset Card for "araproje_arc_en_conf_llama_nearestscore_true"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_arc_en_conf_llama_nearestscore_true | [
"region:us"
] | 2024-01-07T12:09:25+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 80031.0, "num... | 2024-01-07T12:09:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_arc_en_conf_llama_nearestscore_true"
More Information needed | [
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01e85721ec6ec4b8615b203466c3c1c8b1549c8b | # Dataset Card for "araproje_arc_en_conf_llama_nearestscore_true_x"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_arc_en_conf_llama_nearestscore_true_x | [
"region:us"
] | 2024-01-07T12:11:07+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 80031.0, "num... | 2024-01-07T12:11:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_arc_en_conf_llama_nearestscore_true_x"
More Information needed | [
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db2507c184eeca9575ec196d927be630f2d87505 | # Dataset Card for "araproje_arc_tr_conf_mgpt_nearestscore_true_x"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_arc_tr_conf_mgpt_nearestscore_true_x | [
"region:us"
] | 2024-01-07T12:11:41+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 86423.0, "num... | 2024-01-07T12:11:42+00:00 | [] | [] | TAGS
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| # Dataset Card for "araproje_arc_tr_conf_mgpt_nearestscore_true_x"
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234cc0dbe5f2e293cbb4161783825f0bb6f32a3f | # Dataset Card for "araproje_mmlu_tr_conf_mgpt_nearestscore_true_y"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_mmlu_tr_conf_mgpt_nearestscore_true_y | [
"region:us"
] | 2024-01-07T12:18:22+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "validation", "num_bytes": 137404.0, "num_exa... | 2024-01-07T12:18:23+00:00 | [] | [] | TAGS
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| # Dataset Card for "araproje_mmlu_tr_conf_mgpt_nearestscore_true_y"
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30628ced57d5b3045cc5a0dd63b43a6b4c794011 | # Dataset Card for "araproje_mmlu_tr_conf_mgpt_nearestscore_true_x"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_mmlu_tr_conf_mgpt_nearestscore_true_x | [
"region:us"
] | 2024-01-07T12:18:25+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "validation", "num_bytes": 137404.0, "num_exa... | 2024-01-07T12:18:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_mmlu_tr_conf_mgpt_nearestscore_true_x"
More Information needed | [
"# Dataset Card for \"araproje_mmlu_tr_conf_mgpt_nearestscore_true_x\"\n\nMore Information needed"
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ae9ccdf0ae913fab505dc4d14b655b5529b8d794 | # Dataset Card for "araproje_mmlu_tr_conf_mgpt_nearestscore_true"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_mmlu_tr_conf_mgpt_nearestscore_true | [
"region:us"
] | 2024-01-07T12:18:28+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "validation", "num_bytes": 137404.0, "num_exa... | 2024-01-07T12:18:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_mmlu_tr_conf_mgpt_nearestscore_true"
More Information needed | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"araproje_mmlu_tr_conf_mgpt_nearestscore_true\"\n\nMore Information needed"
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0d2ca38391ee7d3c651a2a475d63d0a54dedfef8 | # Dataset Card for "araproje_mmlu_en_conf_llama_nearestscore_true_y"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_mmlu_en_conf_llama_nearestscore_true_y | [
"region:us"
] | 2024-01-07T12:20:02+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "validation", "num_bytes": 130579.0, "num_exa... | 2024-01-14T10:01:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_mmlu_en_conf_llama_nearestscore_true_y"
More Information needed | [
"# Dataset Card for \"araproje_mmlu_en_conf_llama_nearestscore_true_y\"\n\nMore Information needed"
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9195e1ae9adc9dc2b98e4cc2a2c585f36598b839 | # Dataset Card for "araproje_mmlu_en_conf_llama_nearestscore_true_x"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_mmlu_en_conf_llama_nearestscore_true_x | [
"region:us"
] | 2024-01-07T12:20:05+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "validation", "num_bytes": 130579.0, "num_exa... | 2024-01-14T10:01:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_mmlu_en_conf_llama_nearestscore_true_x"
More Information needed | [
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8779dd3a09450ef34fd719de8e73372709ed884c | # Dataset Card for "araproje_mmlu_en_conf_llama_nearestscore_true"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_mmlu_en_conf_llama_nearestscore_true | [
"region:us"
] | 2024-01-07T12:20:09+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "validation", "num_bytes": 130579.0, "num_exa... | 2024-01-14T10:01:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_mmlu_en_conf_llama_nearestscore_true"
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f63e57a2943aa115970ca40e2237fb49885b4639 |
This dataset is derived from [`mteb/sts17-crosslingual-sts`](https://huggingface.co/datasets/mteb/sts17-crosslingual-sts).
We translated `en-en` to `zh-zh` and `id-id` by ChatGPT.
| izhx/sts17-crosslingual-extend | [
"size_categories:n<1K",
"region:us"
] | 2024-01-07T12:32:47+00:00 | {"size_categories": ["n<1K"]} | 2024-01-07T13:14:40+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
|
This dataset is derived from 'mteb/sts17-crosslingual-sts'.
We translated 'en-en' to 'zh-zh' and 'id-id' by ChatGPT.
| [] | [
"TAGS\n#size_categories-n<1K #region-us \n"
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16
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"passage: TAGS\n#size_categories-n<1K #region-us \n"
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392658e44f099e3541d623c2a2559d4dfe300395 |
# 2000 Chinese RoleCards from IMDB_250 Movies and PIPPA
用于拓展zero-shot角色扮演的角色卡片。
其中870个角色来自电影字幕总结(id为movie_xx)，其中406张翻译成了简体中文，剩下的没翻（所以有些繁体或者英文混杂）
1270个角色来自于对PIPPA数据集的翻译
- [凌云志](https://github.com/Kirovsiki)@伯恩茅斯大学 使用射手api爬取了电影的字幕
- 李鲁鲁 完成了从字幕到角色卡片的总结，以及对数据的翻译(openai)
# 后续
我们后续打算用这些卡片 从openai, CharacterGLM, Kobol... | silk-road/Haruhi-Zero-RolePlaying-movie-PIPPA | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2024-01-07T12:44:45+00:00 | {"language": ["zh"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"]} | 2024-01-07T12:54:56+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #size_categories-1K<n<10K #language-Chinese #license-apache-2.0 #region-us
|
# 2000 Chinese RoleCards from IMDB_250 Movies and PIPPA
用于拓展zero-shot角色扮演的角色卡片。
其中870个角色来自电影字幕总结(id为movie_xx)，其中406张翻译成了简体中文，剩下的没翻（所以有些繁体或者英文混杂）
1270个角色来自于对PIPPA数据集的翻译
- 凌云志@伯恩茅斯大学 使用射手api爬取了电影的字幕
- 李鲁鲁 完成了从字幕到角色卡片的总结，以及对数据的翻译(openai)
# 后续
我们后续打算用这些卡片 从openai, CharacterGLM, KoboldAI的api中，利用Baize的方式去获得数据。
项目主页 ... | [
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4234468ced36351bff3dda3075bcd2424afb0456 | ---
license: unknown
---from huggingface_hub import hf_hub_url
hf_hub_url(
repo_id="Maomineang/HisopingV1", filename="hisoping (1).zip"
)
| Maomineang/HisopingV1 | [
"region:us"
] | 2024-01-07T12:45:56+00:00 | {} | 2024-01-07T12:48:28+00:00 | [] | [] | TAGS
#region-us
| ---
license: unknown
---from huggingface_hub import hf_hub_url
hf_hub_url(
repo_id="Maomineang/HisopingV1", filename="hisoping (1).zip"
)
| [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
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6dcf185d49848d2a513e9fab11ed9242fcad904e |
This dataset is derived from [stsb_multi_mt](https://huggingface.co/datasets/stsb_multi_mt).
We translated the test set of `en` to `ar` by google translate and `id` by deepl.
| izhx/stsb_multi_mt_extend | [
"multilinguality:multilingual",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:it",
"language:nl",
"language:pl",
"language:pt",
"language:ru",
"language:ar",
"language:id",
"license:cc-by-sa-4.0",
"region:us"
] | 2024-01-07T13:22:53+00:00 | {"language": ["de", "en", "es", "fr", "it", "nl", "pl", "pt", "ru", "ar", "id"], "license": "cc-by-sa-4.0", "multilinguality": ["multilingual"]} | 2024-01-07T14:26:22+00:00 | [] | [
"de",
"en",
"es",
"fr",
"it",
"nl",
"pl",
"pt",
"ru",
"ar",
"id"
] | TAGS
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|
This dataset is derived from stsb_multi_mt.
We translated the test set of 'en' to 'ar' by google translate and 'id' by deepl.
| [] | [
"TAGS\n#multilinguality-multilingual #language-German #language-English #language-Spanish #language-French #language-Italian #language-Dutch #language-Polish #language-Portuguese #language-Russian #language-Arabic #language-Indonesian #license-cc-by-sa-4.0 #region-us \n"
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] |
613c915cab9709b9fdb67bba38fca97df10777b7 |
## Description
<b>rawrr_v1</b> is highly-experimental pairs style dataset that was created to help with de-contamination of so-called "base" models. \
Field `chosen` contains outputs from base models that weren't instruct tuned and were released directly after pre-training, in a raw format. Some of those outputs are... | adamo1139/rawrr_v1 | [
"license:cc-by-nc-4.0",
"region:us"
] | 2024-01-07T13:44:56+00:00 | {"license": "cc-by-nc-4.0"} | 2024-01-13T22:59:15+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
## Description
<b>rawrr_v1</b> is highly-experimental pairs style dataset that was created to help with de-contamination of so-called "base" models. \
Field 'chosen' contains outputs from base models that weren't instruct tuned and were released directly after pre-training, in a raw format. Some of those outputs are... | [
"## Description\n\n<b>rawrr_v1</b> is highly-experimental pairs style dataset that was created to help with de-contamination of so-called \"base\" models. \\\nField 'chosen' contains outputs from base models that weren't instruct tuned and were released directly after pre-training, in a raw format. Some of those ou... | [
"TAGS\n#license-cc-by-nc-4.0 #region-us \n",
"## Description\n\n<b>rawrr_v1</b> is highly-experimental pairs style dataset that was created to help with de-contamination of so-called \"base\" models. \\\nField 'chosen' contains outputs from base models that weren't instruct tuned and were released directly after ... | [
17,
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] | [
"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n"
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36f7916511a28aea6d24a31f2b722bd7c0c83a08 |
# Dataset Card for Evaluation run of AA051610/A0106
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [AA051610/A0106](https://huggingface.co/AA051610/A0106) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)... | open-llm-leaderboard/details_AA051610__A0106 | [
"region:us"
] | 2024-01-07T13:49:16+00:00 | {"pretty_name": "Evaluation run of AA051610/A0106", "dataset_summary": "Dataset automatically created during the evaluation run of model [AA051610/A0106](https://huggingface.co/AA051610/A0106) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of ... | 2024-01-07T23:10:02+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of AA051610/A0106
Dataset automatically created during the evaluation run of model AA051610/A0106 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can... | [
"# Dataset Card for Evaluation run of AA051610/A0106\n\n\n\nDataset automatically created during the evaluation run of model AA051610/A0106 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 2 run(s). ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of AA051610/A0106\n\n\n\nDataset automatically created during the evaluation run of model AA051610/A0106 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 bee... | [
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2de5a16770cc763c368c681fd4d3e3ff95fd8d97 | # No Robots Veriseti Kartı 🙅♂️🤖
### Özet
No Robots 10000 komut ve gösterimden oluşan, profesyonel etiketleyiciler tarafından oluşturulmuş bir verisetidir. Çevirisi Google Cloud Platform Translation API ile yapıldı. Bu veriset LLM'lere komut takibi öğretmek için kullanılabilir. (Instruction Supervised Fine-tuning -... | merve/tr-h4-norobots | [
"task_categories:conversational",
"task_categories:text-generation",
"language:tr",
"license:cc-by-nc-4.0",
"arxiv:2203.02155",
"region:us"
] | 2024-01-07T13:50:32+00:00 | {"language": ["tr"], "license": "cc-by-nc-4.0", "task_categories": ["conversational", "text-generation"], "pretty_name": "No Robots", "configs": [{"config_name": "default", "data_files": [{"split": "train_sft", "path": "train_sft.csv"}, {"split": "test_sft", "path": "test_sft.csv"}]}], "dataset_info": {"features": [{"n... | 2024-01-07T15:56:24+00:00 | [
"2203.02155"
] | [
"tr"
] | TAGS
#task_categories-conversational #task_categories-text-generation #language-Turkish #license-cc-by-nc-4.0 #arxiv-2203.02155 #region-us
| No Robots Veriseti Kartı ️
===========================
### Özet
No Robots 10000 komut ve gösterimden oluşan, profesyonel etiketleyiciler tarafından oluşturulmuş bir verisetidir. Çevirisi Google Cloud Platform Translation API ile yapıldı. Bu veriset LLM'lere komut takibi öğretmek için kullanılabilir. (Instruction S... | [
"### Özet\n\n\nNo Robots 10000 komut ve gösterimden oluşan, profesyonel etiketleyiciler tarafından oluşturulmuş bir verisetidir. Çevirisi Google Cloud Platform Translation API ile yapıldı. Bu veriset LLM'lere komut takibi öğretmek için kullanılabilir. (Instruction Supervised Fine-tuning - SFT)\nNo Robots veriseti O... | [
"TAGS\n#task_categories-conversational #task_categories-text-generation #language-Turkish #license-cc-by-nc-4.0 #arxiv-2203.02155 #region-us \n",
"### Özet\n\n\nNo Robots 10000 komut ve gösterimden oluşan, profesyonel etiketleyiciler tarafından oluşturulmuş bir verisetidir. Çevirisi Google Cloud Platform Translat... | [
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657035312e41ea944a91b1e900fb377cca8a84e5 | Training model for gurmatgpt | adsazad/gurmat-dataset | [
"region:us"
] | 2024-01-07T14:51:10+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "train.csv"}]}]} | 2024-01-07T18:21:47+00:00 | [] | [] | TAGS
#region-us
| Training model for gurmatgpt | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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5b6eea02a7b2eeee5a06c1c3f85b4996839a7a03 | 未清洗的中文H小说
仅供科学研究使用！ | Limour/h-corpus-raw | [
"language:zh",
"license:apache-2.0",
"not-for-all-audiences",
"region:us"
] | 2024-01-07T15:14:28+00:00 | {"language": ["zh"], "license": "apache-2.0", "tags": ["not-for-all-audiences"]} | 2024-01-20T07:42:21+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #license-apache-2.0 #not-for-all-audiences #region-us
| 未清洗的中文H小说
仅供科学研究使用！ | [] | [
"TAGS\n#language-Chinese #license-apache-2.0 #not-for-all-audiences #region-us \n"
] | [
28
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"passage: TAGS\n#language-Chinese #license-apache-2.0 #not-for-all-audiences #region-us \n"
] |
fee9f1d3ad86fabcf9db82d780858911b7a3babf | # Dataset Card for "NWGI_test"
## Dataset Class:
``` python
class NWGI(InstructionDataset):
dataset = "NWGI"
task_type = "classification"
choices = [
'strong negative', 'moderately negative', 'mildly negative', 'neutral',
'mildly positive', 'moderately positive', 'strong positive',
... | PIXIU-fin/NWGI_test | [
"language:en",
"license:mit",
"region:us"
] | 2024-01-07T16:11:46+00:00 | {"language": ["en"], "license": "mit", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "query", "dtype": "s... | 2024-01-07T16:15:04+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
| # Dataset Card for "NWGI_test"
## Dataset Class:
| [
"# Dataset Card for \"NWGI_test\"",
"## Dataset Class:"
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"TAGS\n#language-English #license-mit #region-us \n",
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"passage: TAGS\n#language-English #license-mit #region-us \n# Dataset Card for \"NWGI_test\"## Dataset Class:"
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e57176233da3a746b715e74caeb76d2392bf6ab4 | Виды текстового мусора в датасете:
1. Лицо на клавиатуре. (ойшойвщф фващощфащшгй0ш шйждыфл) - мусор выглядит как случайно набранные слова. Собрать такой мусор довольно просто. Нужно рандомно генерировать "слова" различной длины и с некоторой вероятностью вставлять знаки препинания между словами и в конце предложения.
... | Den4ikAI/gibberish_dataset | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:ru",
"license:apache-2.0",
"region:us"
] | 2024-01-07T17:55:37+00:00 | {"language": ["ru"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"]} | 2024-01-07T18:20:25+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-Russian #license-apache-2.0 #region-us
| Виды текстового мусора в датасете:
1. Лицо на клавиатуре. (ойшойвщф фващощфащшгй0ш шйждыфл) - мусор выглядит как случайно набранные слова. Собрать такой мусор довольно просто. Нужно рандомно генерировать "слова" различной длины и с некоторой вероятностью вставлять знаки препинания между словами и в конце предложения.
... | [] | [
"TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-Russian #license-apache-2.0 #region-us \n"
] | [
42
] | [
"passage: TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-Russian #license-apache-2.0 #region-us \n"
] |
2746a8fa3d92619df6d0d0a96cfa10e647d188cb | Multilingual version of https://huggingface.co/datasets/nuprl/EditPackFT | nuprl/EditPackFT-Multi | [
"region:us"
] | 2024-01-07T18:28:07+00:00 | {"dataset_info": {"features": [{"name": "commit", "dtype": "string"}, {"name": "old_file", "dtype": "string"}, {"name": "new_file", "dtype": "string"}, {"name": "old_contents", "dtype": "string"}, {"name": "new_contents", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "message", "dtype": "string"}... | 2024-01-07T18:55:38+00:00 | [] | [] | TAGS
#region-us
| Multilingual version of URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
99daf8763ab634eb5e912c2e919f79fc9cbf888f |
PoQuaD dataset | arduwa/poquad-imp | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pl",
"license:cc-by-4.0",
"region:us"
... | 2024-01-07T19:16:14+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["pl"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa", "open-domain-qa"],... | 2024-01-07T19:49:13+00:00 | [] | [
"pl"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #task_ids-open-domain-qa #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Polish #license-cc-by-4.0 #region-us
|
PoQuaD dataset | [] | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #task_ids-open-domain-qa #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Polish #license-cc-by-4.0 #region-us \n"
] | [
104
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"passage: TAGS\n#task_categories-question-answering #task_ids-extractive-qa #task_ids-open-domain-qa #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Polish #license-cc-by-4.0 #region-us \n"
] |
1d2f15f366ce195da733bf00afd5c3dd9e548a4d |
<p align="right">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# distilabel Orca Pairs for DPO
The dataset is a "distilabeled" ... | argilla/distilabel-intel-orca-dpo-pairs | [
"language:en",
"license:apache-2.0",
"rlaif",
"dpo",
"rlhf",
"distilabel",
"synthetic",
"region:us"
] | 2024-01-07T19:41:53+00:00 | {"language": ["en"], "license": "apache-2.0", "dataset_info": {"features": [{"name": "system", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "generations", "sequence": "string"}, {"name": "order", "sequence": "string"},... | 2024-02-05T15:35:14+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #rlaif #dpo #rlhf #distilabel #synthetic #region-us
|
<p align="right">
<a href="URL
<img src="URL alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# distilabel Orca Pairs for DPO
The dataset is a "distilabeled" version of the widely used dataset: Intel/orca_dpo_pairs. The original dataset has been used by 100s of open-source practitioners and mo... | [
"# distilabel Orca Pairs for DPO\n\nThe dataset is a \"distilabeled\" version of the widely used dataset: Intel/orca_dpo_pairs. The original dataset has been used by 100s of open-source practitioners and models. We knew from fixing UltraFeedback (and before that, Alpacas and Dollys) that this dataset could be highl... | [
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"# distilabel Orca Pairs for DPO\n\nThe dataset is a \"distilabeled\" version of the widely used dataset: Intel/orca_dpo_pairs. The original dataset has been used by 100s of open-source practitioners and models. ... | [
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57781c923abfd17eda74eabe4dbb023e595ac3b0 |
A RL environment called 3DCarParking for the Godot Game Engine.
This environment was created with: https://github.com/edbeeching/godot_rl_agents
## Downloading the environment
After installing Godot RL Agents, download the environment with:
```
gdrl.env_from_hub -r edbeeching/godot_rl_3DCarParking
```
| edbeeching/godot_rl_3DCarParking | [
"deep-reinforcement-learning",
"reinforcement-learning",
"godot-rl",
"environments",
"video-games",
"region:us"
] | 2024-01-07T20:14:59+00:00 | {"library_name": "godot-rl", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "godot-rl", "environments", "video-games"]} | 2024-01-07T20:15:09+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #godot-rl #environments #video-games #region-us
|
A RL environment called 3DCarParking for the Godot Game Engine.
This environment was created with: URL
## Downloading the environment
After installing Godot RL Agents, download the environment with:
| [
"## Downloading the environment \n\nAfter installing Godot RL Agents, download the environment with:"
] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #godot-rl #environments #video-games #region-us \n",
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"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #godot-rl #environments #video-games #region-us \n## Downloading the environment \n\nAfter installing Godot RL Agents, download the environment with:"
] |
f5c87ae5a2e7a5106606314eef45255f03151bb3 |
This dataset is derived from the [GermanQuAD](https://www.deepset.ai/germanquad) dataset.
This dataset takes the testset and represents it as a corpus in the [BEIR](https://github.com/beir-cellar/beir) information retrieval benchmark format.
Corpus and query ids have been added.
The corresponding qrels can be found [... | mteb/germanquad-retrieval | [
"source_datasets:deepset/germanquad",
"language:de",
"license:cc-by-4.0",
"arxiv:2104.12741",
"region:us"
] | 2024-01-07T20:17:07+00:00 | {"language": ["de"], "license": "cc-by-4.0", "source_datasets": ["deepset/germanquad"], "configs": [{"config_name": "corpus", "data_files": [{"split": "corpus", "path": "corpus/data-00000-of-00001.arrow"}]}, {"config_name": "queries", "data_files": [{"split": "queries", "path": "queries/data-00000-of-00001.arrow"}]}]} | 2024-01-08T17:53:16+00:00 | [
"2104.12741"
] | [
"de"
] | TAGS
#source_datasets-deepset/germanquad #language-German #license-cc-by-4.0 #arxiv-2104.12741 #region-us
|
This dataset is derived from the GermanQuAD dataset.
This dataset takes the testset and represents it as a corpus in the BEIR information retrieval benchmark format.
Corpus and query ids have been added.
The corresponding qrels can be found here.
Full credit for the original dataset goes to the authors of the Germa... | [] | [
"TAGS\n#source_datasets-deepset/germanquad #language-German #license-cc-by-4.0 #arxiv-2104.12741 #region-us \n"
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40
] | [
"passage: TAGS\n#source_datasets-deepset/germanquad #language-German #license-cc-by-4.0 #arxiv-2104.12741 #region-us \n"
] |
abbd9e68774a6829183398eb657bb42cd8ec1f23 | # Dataset Card for "multi-pooled"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gowitheflowlab/multi-pooled | [
"region:us"
] | 2024-01-07T20:28:51+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2": "contradiction"}}}}], "splits": [{"name": "train", "num_bytes": 528983104.40889275, "num_examples": 1963485}], ... | 2024-01-07T20:29:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "multi-pooled"
More Information needed | [
"# Dataset Card for \"multi-pooled\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"multi-pooled\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"multi-pooled\"\n\nMore Information needed"
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fbac39708c60a8d841e85acafdae1de32b8dfe17 |
# Dataset Card for intel-orca-dpo-pair-rg
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#loa... | dvilasuero/intel-orca-dpo-pair-rg | [
"size_categories:10K<n<100K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2024-01-07T20:28:54+00:00 | {"size_categories": "10K<n<100K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2024-01-07T20:28:57+00:00 | [] | [] | TAGS
#size_categories-10K<n<100K #rlfh #argilla #human-feedback #region-us
| Dataset Card for intel-orca-dpo-pair-rg
=======================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Descr... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
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535ea1a4c22cb63a4b4b1fe79bf9f4c6d04cd4ec | # OSCAR EU 6x3M Dataset
## Overview
The OSCAR EU 6x3M dataset is a carefully curated subset of the larger OSCAR corpus, specifically focusing on the main European languages. This dataset includes a balanced representation of six languages: English (en), German (de), Spanish (es), Italian (it), French (fr), and Russian... | tamedai/oscar_eu_6x3M | [
"region:us"
] | 2024-01-07T20:34:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "language", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 60314308571, "num_examples": 18000000}], "download_size": 34795421825, "dataset_size": 60314308571}, "configs": [{"config_name": "defa... | 2024-01-08T13:48:34+00:00 | [] | [] | TAGS
#region-us
| # OSCAR EU 6x3M Dataset
## Overview
The OSCAR EU 6x3M dataset is a carefully curated subset of the larger OSCAR corpus, specifically focusing on the main European languages. This dataset includes a balanced representation of six languages: English (en), German (de), Spanish (es), Italian (it), French (fr), and Russian... | [
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"## Overview\nThe OSCAR EU 6x3M dataset is a carefully curated subset of the larger OSCAR corpus, specifically focusing on the main European languages. This dataset includes a balanced representation of six languages: English (en), German (de), Spanish (es), Ita... | [
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cb43e00bfa15d4d5cf550516ccdb055367e60044 |
# Big Hard Negatives Dataset
A dataset for training embedding models for semantic search.
TODO: add desc
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 presen... | nixiesearch/bfhnd | [
"task_categories:sentence-similarity",
"size_categories:100K<n<1M",
"source_datasets:BeIR",
"language:en",
"license:apache-2.0",
"text",
"region:us"
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# Big Hard Negatives Dataset
A dataset for training embedding models for semantic search.
TODO: add desc
A dataset in a nixietune compatible format:
## Usage
To use with HF datasets:
## License
Apache 2.0 | [
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# Dataset Card for Evaluation run of Locutusque/TinyMistral-248M-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Locutusque/TinyMistral-248M-v2](https://huggingface.co/Locutusque/TinyMistral-248M-v2) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_Locutusque__TinyMistral-248M-v2 | [
"region:us"
] | 2024-01-07T21:01:49+00:00 | {"pretty_name": "Evaluation run of Locutusque/TinyMistral-248M-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [Locutusque/TinyMistral-248M-v2](https://huggingface.co/Locutusque/TinyMistral-248M-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2024-01-07T21:02:11+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of Locutusque/TinyMistral-248M-v2
Dataset automatically created during the evaluation run of model Locutusque/TinyMistral-248M-v2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been cre... | [
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5930a89955f6b78b159af7653730fecb1b5e4ba0 | # Phi-2 Rejection Sampling
The Phi-2 Rejection Sampling dataset is an English-language dataset consisting of 10 prompts and responses generated by [Phi-2](https://huggingface.co/microsoft/phi-2) and graded by the [OpenAssistant's reward model](https://huggingface.co/OpenAssistant/reward-model-deberta-v3-large-v2).
##... | BluefinTuna/phi2_rejection_sampling | [
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] | 2024-01-07T21:19:49+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "pretty_name": "Rejection Sampling on Phi-2", "tags": ["rejection-sampling", "phi-2", "question-answering"]} | 2024-01-09T18:18:57+00:00 | [] | [
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| # Phi-2 Rejection Sampling
The Phi-2 Rejection Sampling dataset is an English-language dataset consisting of 10 prompts and responses generated by Phi-2 and graded by the OpenAssistant's reward model.
## Dataset Details
### Dataset Description
The Phi-2 Rejection Sampling dataset is a small (n = 10) English-languag... | [
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# Dataset Card for Evaluation run of xaviviro/FLOR-1.3B-xat
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [xaviviro/FLOR-1.3B-xat](https://huggingface.co/xaviviro/FLOR-1.3B-xat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFace... | open-llm-leaderboard/details_xaviviro__FLOR-1.3B-xat | [
"region:us"
] | 2024-01-07T21:28:32+00:00 | {"pretty_name": "Evaluation run of xaviviro/FLOR-1.3B-xat", "dataset_summary": "Dataset automatically created during the evaluation run of model [xaviviro/FLOR-1.3B-xat](https://huggingface.co/xaviviro/FLOR-1.3B-xat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2024-01-07T21:28:53+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of xaviviro/FLOR-1.3B-xat
Dataset automatically created during the evaluation run of model xaviviro/FLOR-1.3B-xat 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(... | [
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# Dataset Card for Evaluation run of jilp00/Hermes-2-SOLAR-10.7B-Symbolic
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [jilp00/Hermes-2-SOLAR-10.7B-Symbolic](https://huggingface.co/jilp00/Hermes-2-SOLAR-10.7B-Symbolic) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_jilp00__Hermes-2-SOLAR-10.7B-Symbolic | [
"region:us"
] | 2024-01-07T21:35:23+00:00 | {"pretty_name": "Evaluation run of jilp00/Hermes-2-SOLAR-10.7B-Symbolic", "dataset_summary": "Dataset automatically created during the evaluation run of model [jilp00/Hermes-2-SOLAR-10.7B-Symbolic](https://huggingface.co/jilp00/Hermes-2-SOLAR-10.7B-Symbolic) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-07T21:35:43+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of jilp00/Hermes-2-SOLAR-10.7B-Symbolic
Dataset automatically created during the evaluation run of model jilp00/Hermes-2-SOLAR-10.7B-Symbolic on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
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# Dataset Card for Evaluation run of bhavinjawade/SOLAR-10B-OrcaDPO-Jawade
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [bhavinjawade/SOLAR-10B-OrcaDPO-Jawade](https://huggingface.co/bhavinjawade/SOLAR-10B-OrcaDPO-Jawade) on the [Open LLM Leaderboa... | open-llm-leaderboard/details_bhavinjawade__SOLAR-10B-OrcaDPO-Jawade | [
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] | 2024-01-07T21:37:05+00:00 | {"pretty_name": "Evaluation run of bhavinjawade/SOLAR-10B-OrcaDPO-Jawade", "dataset_summary": "Dataset automatically created during the evaluation run of model [bhavinjawade/SOLAR-10B-OrcaDPO-Jawade](https://huggingface.co/bhavinjawade/SOLAR-10B-OrcaDPO-Jawade) on the [Open LLM Leaderboard](https://huggingface.co/space... | 2024-01-08T00:28:21+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of bhavinjawade/SOLAR-10B-OrcaDPO-Jawade
Dataset automatically created during the evaluation run of model bhavinjawade/SOLAR-10B-OrcaDPO-Jawade 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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This dataset is derived from the [GermanQuAD](https://www.deepset.ai/germanquad) dataset.
This dataset takes the testset and represents it as qrels in the [BEIR](https://github.com/beir-cellar/beir) information retrieval benchmark format.
Corpus and query ids have been added.
The corresponding corpus can be found [he... | mteb/germanquad-retrieval-qrels | [
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] | 2024-01-07T21:41:13+00:00 | {"language": ["de"], "license": "cc-by-4.0", "source_datasets": ["deepset/germanquad"], "configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "test/data-00000-of-00001.arrow"}]}]} | 2024-01-08T17:49:49+00:00 | [
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This dataset is derived from the GermanQuAD dataset.
This dataset takes the testset and represents it as qrels in the BEIR information retrieval benchmark format.
Corpus and query ids have been added.
The corresponding corpus can be found here.
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609d6f7df39214d837bd5987e22db2a9bffe2b00 | model: https://huggingface.co/sentence-transformers/clip-ViT-B-32 # 605MB | teamtom/25000_word_emb_base | [
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# Dataset Card for Evaluation run of AtAndDev/CapybaraMarcoroni-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [AtAndDev/CapybaraMarcoroni-7B](https://huggingface.co/AtAndDev/CapybaraMarcoroni-7B) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_AtAndDev__CapybaraMarcoroni-7B | [
"region:us"
] | 2024-01-07T21:53:09+00:00 | {"pretty_name": "Evaluation run of AtAndDev/CapybaraMarcoroni-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [AtAndDev/CapybaraMarcoroni-7B](https://huggingface.co/AtAndDev/CapybaraMarcoroni-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2024-01-07T21:53:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of AtAndDev/CapybaraMarcoroni-7B
Dataset automatically created during the evaluation run of model AtAndDev/CapybaraMarcoroni-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 creat... | [
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293697c7b232d27b800e5800026fc984dabae5cf | Function Calling Dataset Based on UltraChat Format | isaiahbjork/function-calling | [
"region:us"
] | 2024-01-07T21:56:12+00:00 | {} | 2024-01-07T23:30:47+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca](https://huggingface.co/HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca) on the [Open LLM Lea... | open-llm-leaderboard/details_HenryJJ__Instruct_Yi-6B_Dolly_CodeAlpaca | [
"region:us"
] | 2024-01-07T22:01:26+00:00 | {"pretty_name": "Evaluation run of HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca", "dataset_summary": "Dataset automatically created during the evaluation run of model [HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca](https://huggingface.co/HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca) on the [Open LLM Leaderboard](https://huggingface.co... | 2024-01-08T03:38:44+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca
Dataset automatically created during the evaluation run of model HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca 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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# Dataset Card for Evaluation run of mlabonne/NeuralMarcoro14-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [mlabonne/NeuralMarcoro14-7B](https://huggingface.co/mlabonne/NeuralMarcoro14-7B) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_mlabonne__NeuralMarcoro14-7B | [
"region:us"
] | 2024-01-07T22:15:22+00:00 | {"pretty_name": "Evaluation run of mlabonne/NeuralMarcoro14-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [mlabonne/NeuralMarcoro14-7B](https://huggingface.co/mlabonne/NeuralMarcoro14-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-07T22:15:41+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of mlabonne/NeuralMarcoro14-7B
Dataset automatically created during the evaluation run of model mlabonne/NeuralMarcoro14-7B 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 f... | [
"# Dataset Card for Evaluation run of mlabonne/NeuralMarcoro14-7B\n\n\n\nDataset automatically created during the evaluation run of model mlabonne/NeuralMarcoro14-7B 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 be... | [
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# Dataset Card for Evaluation run of alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo](https://huggingface.co/alexredna/TinyLlama-1.1B-Chat-v1.0-re... | open-llm-leaderboard/details_alexredna__TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo | [
"region:us"
] | 2024-01-07T22:17:01+00:00 | {"pretty_name": "Evaluation run of alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo", "dataset_summary": "Dataset automatically created during the evaluation run of model [alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo](https://huggingface.co/alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo) on the [Open LLM... | 2024-01-10T12:33:39+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo
Dataset automatically created during the evaluation run of model alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the... | [
"# Dataset Card for Evaluation run of alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo\n\n\n\nDataset automatically created during the evaluation run of model alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to ... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo\n\n\n\nDataset automatically created during the evaluation run of model alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuratio... |
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# Dataset Card for Evaluation run of ryandt/MusingCaterpillar
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ryandt/MusingCaterpillar](https://huggingface.co/ryandt/MusingCaterpillar) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggi... | open-llm-leaderboard/details_ryandt__MusingCaterpillar | [
"region:us"
] | 2024-01-07T22:17:30+00:00 | {"pretty_name": "Evaluation run of ryandt/MusingCaterpillar", "dataset_summary": "Dataset automatically created during the evaluation run of model [ryandt/MusingCaterpillar](https://huggingface.co/ryandt/MusingCaterpillar) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2024-01-07T22:17:50+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of ryandt/MusingCaterpillar
Dataset automatically created during the evaluation run of model ryandt/MusingCaterpillar 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 ... | [
"# Dataset Card for Evaluation run of ryandt/MusingCaterpillar\n\n\n\nDataset automatically created during the evaluation run of model ryandt/MusingCaterpillar 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 cre... | [
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# Dataset Card for Evaluation run of NeverSleep/Noromaid-13b-v0.3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [NeverSleep/Noromaid-13b-v0.3](https://huggingface.co/NeverSleep/Noromaid-13b-v0.3) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_NeverSleep__Noromaid-13b-v0.3 | [
"region:us"
] | 2024-01-07T22:18:20+00:00 | {"pretty_name": "Evaluation run of NeverSleep/Noromaid-13b-v0.3", "dataset_summary": "Dataset automatically created during the evaluation run of model [NeverSleep/Noromaid-13b-v0.3](https://huggingface.co/NeverSleep/Noromaid-13b-v0.3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2024-01-08T08:46:17+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of NeverSleep/Noromaid-13b-v0.3
Dataset automatically created during the evaluation run of model NeverSleep/Noromaid-13b-v0.3 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 NeverSleep/Noromaid-13b-v0.3\n\n\n\nDataset automatically created during the evaluation run of model NeverSleep/Noromaid-13b-v0.3 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has ... | [
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# Dataset Card for Evaluation run of sreeramajay/TinyLlama-1.1B-orca-v1.0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [sreeramajay/TinyLlama-1.1B-orca-v1.0](https://huggingface.co/sreeramajay/TinyLlama-1.1B-orca-v1.0) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_sreeramajay__TinyLlama-1.1B-orca-v1.0 | [
"region:us"
] | 2024-01-07T22:20:39+00:00 | {"pretty_name": "Evaluation run of sreeramajay/TinyLlama-1.1B-orca-v1.0", "dataset_summary": "Dataset automatically created during the evaluation run of model [sreeramajay/TinyLlama-1.1B-orca-v1.0](https://huggingface.co/sreeramajay/TinyLlama-1.1B-orca-v1.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-08T02:55:28+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of sreeramajay/TinyLlama-1.1B-orca-v1.0
Dataset automatically created during the evaluation run of model sreeramajay/TinyLlama-1.1B-orca-v1.0 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
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# Dataset Card for Evaluation run of aloobun/falcon-1b-cot-t2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [aloobun/falcon-1b-cot-t2](https://huggingface.co/aloobun/falcon-1b-cot-t2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggi... | open-llm-leaderboard/details_aloobun__falcon-1b-cot-t2 | [
"region:us"
] | 2024-01-07T22:22:12+00:00 | {"pretty_name": "Evaluation run of aloobun/falcon-1b-cot-t2", "dataset_summary": "Dataset automatically created during the evaluation run of model [aloobun/falcon-1b-cot-t2](https://huggingface.co/aloobun/falcon-1b-cot-t2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2024-01-08T06:28:16+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of aloobun/falcon-1b-cot-t2
Dataset automatically created during the evaluation run of model aloobun/falcon-1b-cot-t2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 ... | [
"# Dataset Card for Evaluation run of aloobun/falcon-1b-cot-t2\n\n\n\nDataset automatically created during the evaluation run of model aloobun/falcon-1b-cot-t2 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 cre... | [
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*note: The dataset was fine, but the parquet bot appears to have messed it up somehow, if its not visible up there, look at dataset.jsonl*
Updates:
- Jan 7th 2024 - scraped all the worldbuilding stackexchange Q's, with 5+ rep, left with 18000 Q's.
- Jan 8th 2024 - incorporated 100mb more in roleplay and worldbuil... | VatsaDev/worldbuild | [
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] | 2024-01-07T22:24:40+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["conversational", "text-generation"], "pretty_name": "worldbuilding"} | 2024-01-09T19:25:34+00:00 | [] | [
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*note: The dataset was fine, but the parquet bot appears to have messed it up somehow, if its not visible up there, look at URL*
Updates:
- Jan 7th 2024 - scraped all the worldbuilding stackexchange Q's, with 5+ rep, left with 18000 Q's.
- Jan 8th 2024 - incorporated 100mb more in roleplay and worldbuilding, the ... | [
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# Dataset Card for Evaluation run of remyxai/localmentor_25K_3epochs_tinyllama
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [remyxai/localmentor_25K_3epochs_tinyllama](https://huggingface.co/remyxai/localmentor_25K_3epochs_tinyllama) on the [Open L... | open-llm-leaderboard/details_remyxai__localmentor_25K_3epochs_tinyllama | [
"region:us"
] | 2024-01-07T22:27:08+00:00 | {"pretty_name": "Evaluation run of remyxai/localmentor_25K_3epochs_tinyllama", "dataset_summary": "Dataset automatically created during the evaluation run of model [remyxai/localmentor_25K_3epochs_tinyllama](https://huggingface.co/remyxai/localmentor_25K_3epochs_tinyllama) on the [Open LLM Leaderboard](https://huggingf... | 2024-01-07T22:27:28+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of remyxai/localmentor_25K_3epochs_tinyllama
Dataset automatically created during the evaluation run of model remyxai/localmentor_25K_3epochs_tinyllama on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
Th... | [
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# Dataset Card for Evaluation run of amu/zen
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [amu/zen](https://huggingface.co/amu/zen) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is com... | open-llm-leaderboard/details_amu__zen | [
"region:us"
] | 2024-01-07T22:27:54+00:00 | {"pretty_name": "Evaluation run of amu/zen", "dataset_summary": "Dataset automatically created during the evaluation run of model [amu/zen](https://huggingface.co/amu/zen) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of 63 configuration, eac... | 2024-01-07T22:28:13+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of amu/zen
Dataset automatically created during the evaluation run of model amu/zen 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 found as a... | [
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08f2789541834abdc574c2fd1f4712812b272eb7 | # Dataset Card for Weblate Translations
<!-- Provide a quick summary of the dataset. -->
A dataset containing strings from projects hosted on [Weblate](https://hosted.weblate.org) and their translations into other languages.
Please consider [donating](https://weblate.org/en/donate/) or [contributing](https://weblate.... | ayymen/Weblate-Translations | [
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"language:ak"... | 2024-01-07T22:29:01+00:00 | {"annotations_creators": ["crowdsourced"], "language": ["aa", "ab", "ace", "ach", "af", "afh", "aii", "ain", "ajp", "ak", "am", "an", "ang", "anp", "apc", "ar", "arn", "ars", "as", "ast", "ay", "ayc", "az", "azb", "ba", "bar", "bd", "be", "bem", "ber", "bg", "bho", "bm", "bn", "bo", "bp", "bqi", "br", "brx", "bs", "bul... | 2024-01-19T21:29:44+00:00 | [] | [
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A dataset containing strings from projects hosted on Weblate and their translations into other languages.
Please consider donating or contributing to Weblate if you find this dataset useful.
To avoid rows with values like "None" and "N/A" being interpreted as missing values, ... | [
"# Dataset Card for Weblate Translations\n\n\n\nA dataset containing strings from projects hosted on Weblate and their translations into other languages.\nPlease consider donating or contributing to Weblate if you find this dataset useful.\n\nTo avoid rows with values like \"None\" and \"N/A\" being interpreted as ... | [
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d1a07bfe6b8d894bd4b06f07c5acb2a68f1e567a | # Dataset Card for "unit-test-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | erishabh/unit-test-v2 | [
"region:us"
] | 2024-01-07T22:50:47+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "completion", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2289947144, "num_examples": 215409}], "download_size": 239191939, "dataset_size": 2289947144}} | 2024-01-07T22:51:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "unit-test-v2"
More Information needed | [
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7a987eafb3e09f293ee20c69a5d36655412cbb2a |
# Dataset Card for Evaluation run of BEE-spoke-data/TinyLlama-3T-1.1bee
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [BEE-spoke-data/TinyLlama-3T-1.1bee](https://huggingface.co/BEE-spoke-data/TinyLlama-3T-1.1bee) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_BEE-spoke-data__TinyLlama-3T-1.1bee | [
"region:us"
] | 2024-01-07T23:12:30+00:00 | {"pretty_name": "Evaluation run of BEE-spoke-data/TinyLlama-3T-1.1bee", "dataset_summary": "Dataset automatically created during the evaluation run of model [BEE-spoke-data/TinyLlama-3T-1.1bee](https://huggingface.co/BEE-spoke-data/TinyLlama-3T-1.1bee) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2024-01-07T23:12:52+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of BEE-spoke-data/TinyLlama-3T-1.1bee
Dataset automatically created during the evaluation run of model BEE-spoke-data/TinyLlama-3T-1.1bee 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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678ae5e9425ed794e5e903b3f8e21b0a1c5341aa |
# Dataset Card for Evaluation run of NeuralNovel/Aeryth-7B-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [NeuralNovel/Aeryth-7B-v0.1](https://huggingface.co/NeuralNovel/Aeryth-7B-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_NeuralNovel__Aeryth-7B-v0.1 | [
"region:us"
] | 2024-01-07T23:24:19+00:00 | {"pretty_name": "Evaluation run of NeuralNovel/Aeryth-7B-v0.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [NeuralNovel/Aeryth-7B-v0.1](https://huggingface.co/NeuralNovel/Aeryth-7B-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2024-01-14T12:33:54+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of NeuralNovel/Aeryth-7B-v0.1
Dataset automatically created during the evaluation run of model NeuralNovel/Aeryth-7B-v0.1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created fro... | [
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89087a1ea7ba831a34b9d3101281a6f1ff9334ea | # HistoryTrans
HistoryTrans 是一个古文翻译数据集，通过数据预处理和质量控制，来提高古文翻译的质量和实用性。
参考我们的项目主页[HistoryTrans古文翻译](https://github.com/HistoryTrans/HistoryTrans).
## 数据集详细信息
### 数据集来源
- **主体:** [Classical-Modern](https://github.com/NiuTrans/Classical-Modern)
- **额外补充:** ：《二十四史》和《清史稿》中提取
### 数据集结构
数据集包含以下 JSONL 文件：
- `train_01_04.j... | HistoryTrans/Dataset | [
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"language:zh",
"license:mit",
"translation",
"古文翻译",
"文言文翻译",
"region:us"
] | 2024-01-07T23:53:26+00:00 | {"language": ["zh"], "license": "mit", "size_categories": ["100M<n<1B"], "task_categories": ["translation"], "pretty_name": "\u53e4\u6587\u7ffb\u8bd1\u6570\u636e\u96c6", "tags": ["translation", "\u53e4\u6587\u7ffb\u8bd1", "\u6587\u8a00\u6587\u7ffb\u8bd1"]} | 2024-01-09T21:03:47+00:00 | [] | [
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] | TAGS
#task_categories-translation #size_categories-100M<n<1B #language-Chinese #license-mit #translation #古文翻译 #文言文翻译 #region-us
| # HistoryTrans
HistoryTrans 是一个古文翻译数据集，通过数据预处理和质量控制，来提高古文翻译的质量和实用性。
参考我们的项目主页HistoryTrans古文翻译.
## 数据集详细信息
### 数据集来源
- 主体: Classical-Modern
- 额外补充: ：《二十四史》和《清史稿》中提取
### 数据集结构
数据集包含以下 JSONL 文件：
- 'train_01_04.jsonl': 训练集，主要用于训练翻译模型。
- 'val_01_04.jsonl': 验证集，用于训练过程中的模型微调和评估。
- 'test_01_04.jsonl': 测试集，用于评估最终模型性能。
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08cb0f0ecb2e25dffbd5325133a461654288c478 |
# Dataset Card for Evaluation run of princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT) on the [Open L... | open-llm-leaderboard/details_princeton-nlp__Sheared-LLaMA-1.3B-ShareGPT | [
"region:us"
] | 2024-01-08T00:01:38+00:00 | {"pretty_name": "Evaluation run of princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT", "dataset_summary": "Dataset automatically created during the evaluation run of model [princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT) on the [Open LLM Leaderboard](https://huggingf... | 2024-01-08T00:01:58+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT
Dataset automatically created during the evaluation run of model princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
Th... | [
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29e65374a4fca0b1797a2b23c52de18c8b8d02f7 | # Dataset Card for "autotree_snnxor_n15_l2_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yzhuang/autotree_snnxor_n15_l2_10 | [
"region:us"
] | 2024-01-08T00:02:33+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": "id", "dtype": "int64"}, {"name": "input_x", "sequence": {"sequence": "float32"}}, ... | 2024-01-08T00:03:12+00:00 | [] | [] | TAGS
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| # Dataset Card for "autotree_snnxor_n15_l2_10"
More Information needed | [
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# Dataset Card for Evaluation run of maywell/TinyLlama-MoE-Chat-0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [maywell/TinyLlama-MoE-Chat-0.1](https://huggingface.co/maywell/TinyLlama-MoE-Chat-0.1) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_maywell__TinyLlama-MoE-Chat-0.1 | [
"region:us"
] | 2024-01-08T00:07:51+00:00 | {"pretty_name": "Evaluation run of maywell/TinyLlama-MoE-Chat-0.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [maywell/TinyLlama-MoE-Chat-0.1](https://huggingface.co/maywell/TinyLlama-MoE-Chat-0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2024-01-08T02:04:00+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of maywell/TinyLlama-MoE-Chat-0.1
Dataset automatically created during the evaluation run of model maywell/TinyLlama-MoE-Chat-0.1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been cre... | [
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0d8732ae93a2126c0355020dacf8305df3366e87 | The corpus for this study consists of multiple datasets of comparable text lengths, both machine-generated and human-written.
1. 1401 books:
- 841 manually written abstracts provided by the Central University Library of Bucharest, representing descriptions of Romanian old documents (literary magazines and books da... | readerbench/ro-human-machine-60k | [
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] | 2024-01-08T01:04:58+00:00 | {"language": ["ro"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation", "translation", "text2text-generation"]} | 2024-02-05T16:45:17+00:00 | [] | [
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| The corpus for this study consists of multiple datasets of comparable text lengths, both machine-generated and human-written.
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1515ef610248333f6b25ef6ecbd83dc986fb95ff |
# Dataset Card for Evaluation run of openaccess-ai-collective/DPOpenHermes-11B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [openaccess-ai-collective/DPOpenHermes-11B](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-11B) on the [Open L... | open-llm-leaderboard/details_openaccess-ai-collective__DPOpenHermes-11B | [
"region:us"
] | 2024-01-08T01:08:54+00:00 | {"pretty_name": "Evaluation run of openaccess-ai-collective/DPOpenHermes-11B", "dataset_summary": "Dataset automatically created during the evaluation run of model [openaccess-ai-collective/DPOpenHermes-11B](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-11B) on the [Open LLM Leaderboard](https://huggingf... | 2024-01-08T01:09:16+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of openaccess-ai-collective/DPOpenHermes-11B
Dataset automatically created during the evaluation run of model openaccess-ai-collective/DPOpenHermes-11B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
Th... | [
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68458e1e7ad7fc88b9db5ef73cb73f9a434debe0 | # Dataset Card for "VNTL-v2-1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lmg-anon/VNTL-v2-1k | [
"region:us"
] | 2024-01-08T01:12:14+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24744504, "num_examples": 10260}, {"name": "val", "num_bytes": 37169... | 2024-01-08T01:12:20+00:00 | [] | [] | TAGS
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| # Dataset Card for "VNTL-v2-1k"
More Information needed | [
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4a35669d7815ac42013f91ad20673f6f7f7bbb9f |
## YFCC15M subset used for VLMs
This dataset contains the ~15M subset of YFCC100M used for training the models in the paper [Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP](https://arxiv.org/abs/2208.05516). The metadata provided in this repo contains both the page-urls and ima... | vishaal27/YFCC15M_page_and_download_urls | [
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] | 2024-01-08T01:18:43+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10M<n<100M"], "task_categories": ["zero-shot-classification", "image-to-text"], "pretty_name": "yfcc15m"} | 2024-01-08T01:38:39+00:00 | [
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#task_categories-zero-shot-classification #task_categories-image-to-text #size_categories-10M<n<100M #language-English #license-mit #arxiv-2208.05516 #region-us
|
## YFCC15M subset used for VLMs
This dataset contains the ~15M subset of YFCC100M used for training the models in the paper Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP. The metadata provided in this repo contains both the page-urls and image-download-urls for downloading the... | [
"## YFCC15M subset used for VLMs\n\nThis dataset contains the ~15M subset of YFCC100M used for training the models in the paper Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP. The metadata provided in this repo contains both the page-urls and image-download-urls for downloadi... | [
"TAGS\n#task_categories-zero-shot-classification #task_categories-image-to-text #size_categories-10M<n<100M #language-English #license-mit #arxiv-2208.05516 #region-us \n",
"## YFCC15M subset used for VLMs\n\nThis dataset contains the ~15M subset of YFCC100M used for training the models in the paper Quality Not Q... | [
60,
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"passage: TAGS\n#task_categories-zero-shot-classification #task_categories-image-to-text #size_categories-10M<n<100M #language-English #license-mit #arxiv-2208.05516 #region-us \n## YFCC15M subset used for VLMs\n\nThis dataset contains the ~15M subset of YFCC100M used for training the models in the paper Quality No... |
d5450f05221f4a3e9016166b3d583fc3eec1f3c0 |
**dz-data-ai/WEHAGO_AI_ASSISTANT_VER1(358건) + 추가 데이터세트(181건) = 총 539건**
**홈택스 증명서 7가지(납세증명서, 납부내역증명, 부가가치세과세표준증명, 부가가치세면세사업자수입금액증명,사업자등록 증명, 표준재무제표증명, 소득금액증명)외 서류들은 {"targetDoc":"NA"}로 설정**
**그 외 홈택스 증명서 발급과 관계없는 USER_MSG("오늘의 날씨 어떄", "회사 기밀을 알려줘", ... )도 {"targetDoc":"NA"}로 설정**
| dz-data-ai/WEHAGO_TAX_ASSISTANT_VER2 | [
"region:us"
] | 2024-01-08T01:43:21+00:00 | {} | 2024-01-10T07:41:47+00:00 | [] | [] | TAGS
#region-us
|
dz-data-ai/WEHAGO_AI_ASSISTANT_VER1(358건) + 추가 데이터세트(181건) = 총 539건
홈택스 증명서 7가지(납세증명서, 납부내역증명, 부가가치세과세표준증명, 부가가치세면세사업자수입금액증명,사업자등록 증명, 표준재무제표증명, 소득금액증명)외 서류들은 {"targetDoc":"NA"}로 설정
그 외 홈택스 증명서 발급과 관계없는 USER_MSG("오늘의 날씨 어떄", "회사 기밀을 알려줘", ... )도 {"targetDoc":"NA"}로 설정
| [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
] |
34096a986b67c80370e49534cddca356bed51b70 |
# Dataset Card for Evaluation run of senseable/33x-coder
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [senseable/33x-coder](https://huggingface.co/senseable/33x-coder) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_l... | open-llm-leaderboard/details_senseable__33x-coder | [
"region:us"
] | 2024-01-08T02:01:24+00:00 | {"pretty_name": "Evaluation run of senseable/33x-coder", "dataset_summary": "Dataset automatically created during the evaluation run of model [senseable/33x-coder](https://huggingface.co/senseable/33x-coder) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset ... | 2024-01-08T02:01:44+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of senseable/33x-coder
Dataset automatically created during the evaluation run of model senseable/33x-coder 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... | [
"# Dataset Card for Evaluation run of senseable/33x-coder\n\n\n\nDataset automatically created during the evaluation run of model senseable/33x-coder 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 ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of senseable/33x-coder\n\n\n\nDataset automatically created during the evaluation run of model senseable/33x-coder on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe datas... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of senseable/33x-coder\n\n\n\nDataset automatically created during the evaluation run of model senseable/33x-coder on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe da... |
bfd836a2d426dfcd06310a9053827583f62de153 |
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k](https://huggingface.co/OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-3... | open-llm-leaderboard/details_OpenBuddy__openbuddy-deepseekcoder-33b-v16.1-32k | [
"region:us"
] | 2024-01-08T02:21:22+00:00 | {"pretty_name": "Evaluation run of OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k", "dataset_summary": "Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k](https://huggingface.co/OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k) on the [Open LLM Leaderboard... | 2024-01-08T05:52:12+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k
Dataset automatically created during the evaluation run of model OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluat... | [
"# Dataset Card for Evaluation run of OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k\n\n\n\nDataset automatically created during the evaluation run of model OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of t... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k\n\n\n\nDataset automatically created during the evaluation run of model OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k\n\n\n\nDataset automatically created during the evaluation run of model OpenBuddy/openbuddy-deepseekcoder-33b-v16.1-32k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each ... |
78aa53b5d25f111eee18d7b6e981bbb5822bca33 |
# Dataset Card for Evaluation run of gagan3012/MetaModel_moe_multilingualv1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [gagan3012/MetaModel_moe_multilingualv1](https://huggingface.co/gagan3012/MetaModel_moe_multilingualv1) on the [Open LLM Leader... | open-llm-leaderboard/details_gagan3012__MetaModel_moe_multilingualv1 | [
"region:us"
] | 2024-01-08T02:36:31+00:00 | {"pretty_name": "Evaluation run of gagan3012/MetaModel_moe_multilingualv1", "dataset_summary": "Dataset automatically created during the evaluation run of model [gagan3012/MetaModel_moe_multilingualv1](https://huggingface.co/gagan3012/MetaModel_moe_multilingualv1) on the [Open LLM Leaderboard](https://huggingface.co/sp... | 2024-01-08T03:33:30+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of gagan3012/MetaModel_moe_multilingualv1
Dataset automatically created during the evaluation run of model gagan3012/MetaModel_moe_multilingualv1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The data... | [
"# Dataset Card for Evaluation run of gagan3012/MetaModel_moe_multilingualv1\n\n\n\nDataset automatically created during the evaluation run of model gagan3012/MetaModel_moe_multilingualv1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of gagan3012/MetaModel_moe_multilingualv1\n\n\n\nDataset automatically created during the evaluation run of model gagan3012/MetaModel_moe_multilingualv1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to o... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of gagan3012/MetaModel_moe_multilingualv1\n\n\n\nDataset automatically created during the evaluation run of model gagan3012/MetaModel_moe_multilingualv1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding t... |
2230ec7c3820d4d9a14708e8b3f379748667127d |
The `oreg` and the `odat` refer to the original registration number and date respectively of the copyright entry and thats what we try to match with the Copyright Catalog. `rdat` is the renewal date. The other columns are pretty self-explanatory. | baber/cce-renewals | [
"license:cc0-1.0",
"region:us"
] | 2024-01-08T02:37:17+00:00 | {"license": "cc0-1.0", "configs": [{"config_name": "full", "data_files": "renewals_full.parquet"}, {"config_name": "unmatched", "data_files": "ren_unmatched.parquet"}, {"config_name": "matched", "data_files": "matched.parquet"}]} | 2024-02-05T12:58:04+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
The 'oreg' and the 'odat' refer to the original registration number and date respectively of the copyright entry and thats what we try to match with the Copyright Catalog. 'rdat' is the renewal date. The other columns are pretty self-explanatory. | [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n"
] |
3ace0c6d0d510d1b00cbd4fa3e37e2cfaf2c731e |
⚠️ Only for research purpose. 研究目的利用に限定.
# JJSIMQA : 日本内科学会雑誌の付録確認問題
日本内科学会雑誌107巻〜111巻に掲載されているMultiple Choice Questions（各特集に対する５択の確認問題）全460件を人手で書き起こしました.
医療言語モデルの性能評価用の利用を想定しています.
[JMedLoRA](https://arxiv.org/abs/2310.10083)の実験にて利用.
### 注意
problem_id 107_64-4は, １つ選ばせる問題ですが, ５つ目の選択肢が「(a)〜(d)の全て」となっているため毛色が異なります.
... | AIgroup-CVM-utokyohospital/JJSIMQA | [
"license:cc-by-nc-sa-4.0",
"arxiv:2310.10083",
"region:us"
] | 2024-01-08T03:08:16+00:00 | {"license": "cc-by-nc-sa-4.0"} | 2024-01-08T06:21:39+00:00 | [
"2310.10083"
] | [] | TAGS
#license-cc-by-nc-sa-4.0 #arxiv-2310.10083 #region-us
|
️ Only for research purpose. 研究目的利用に限定.
# JJSIMQA : 日本内科学会雑誌の付録確認問題
日本内科学会雑誌107巻〜111巻に掲載されているMultiple Choice Questions（各特集に対する５択の確認問題）全460件を人手で書き起こしました.
医療言語モデルの性能評価用の利用を想定しています.
JMedLoRAの実験にて利用.
### 注意
problem_id 107_64-4は, １つ選ばせる問題ですが, ５つ目の選択肢が「(a)〜(d)の全て」となっているため毛色が異なります.
評価用データセットとして用いる場合には除外推奨.
### How... | [
"# JJSIMQA : 日本内科学会雑誌の付録確認問題\n\n日本内科学会雑誌107巻〜111巻に掲載されているMultiple Choice Questions（各特集に対する５択の確認問題）全460件を人手で書き起こしました.\n医療言語モデルの性能評価用の利用を想定しています.\n\nJMedLoRAの実験にて利用.",
"### 注意\n\nproblem_id 107_64-4は, １つ選ばせる問題ですが, ５つ目の選択肢が「(a)〜(d)の全て」となっているため毛色が異なります. \n\n評価用データセットとして用いる場合には除外推奨.",
"### How to cite\n\n本データを利用する場合... | [
"TAGS\n#license-cc-by-nc-sa-4.0 #arxiv-2310.10083 #region-us \n",
"# JJSIMQA : 日本内科学会雑誌の付録確認問題\n\n日本内科学会雑誌107巻〜111巻に掲載されているMultiple Choice Questions（各特集に対する５択の確認問題）全460件を人手で書き起こしました.\n医療言語モデルの性能評価用の利用を想定しています.\n\nJMedLoRAの実験にて利用.",
"### 注意\n\nproblem_id 107_64-4は, １つ選ばせる問題ですが, ５つ目の選択肢が「(a)〜(d)の全て」となっているため毛色が異なり... | [
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"passage: TAGS\n#license-cc-by-nc-sa-4.0 #arxiv-2310.10083 #region-us \n# JJSIMQA : 日本内科学会雑誌の付録確認問題\n\n日本内科学会雑誌107巻〜111巻に掲載されているMultiple Choice Questions（各特集に対する５択の確認問題）全460件を人手で書き起こしました.\n医療言語モデルの性能評価用の利用を想定しています.\n\nJMedLoRAの実験にて利用.### 注意\n\nproblem_id 107_64-4は, １つ選ばせる問題ですが, ５つ目の選択肢が「(a)〜(d)の全て」となっているため毛色が異なります.... |
622395f286a060de1c6e382fccdac3f3e13d96aa |
# Dataset Card for Evaluation run of migtissera/SynthIA-70B-v1.5
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [migtissera/SynthIA-70B-v1.5](https://huggingface.co/migtissera/SynthIA-70B-v1.5) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_migtissera__SynthIA-70B-v1.5 | [
"region:us"
] | 2024-01-08T03:43:37+00:00 | {"pretty_name": "Evaluation run of migtissera/SynthIA-70B-v1.5", "dataset_summary": "Dataset automatically created during the evaluation run of model [migtissera/SynthIA-70B-v1.5](https://huggingface.co/migtissera/SynthIA-70B-v1.5) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-08T03:43:58+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of migtissera/SynthIA-70B-v1.5
Dataset automatically created during the evaluation run of model migtissera/SynthIA-70B-v1.5 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... | [
"# Dataset Card for Evaluation run of migtissera/SynthIA-70B-v1.5\n\n\n\nDataset automatically created during the evaluation run of model migtissera/SynthIA-70B-v1.5 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 be... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of migtissera/SynthIA-70B-v1.5\n\n\n\nDataset automatically created during the evaluation run of model migtissera/SynthIA-70B-v1.5 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated ta... | [
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ed7aeb1bb06c2aefad268e687ee49b5dbc1f7999 |
# Dataset Card for Evaluation run of GOAT-AI/GOAT-70B-Storytelling
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [GOAT-AI/GOAT-70B-Storytelling](https://huggingface.co/GOAT-AI/GOAT-70B-Storytelling) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_GOAT-AI__GOAT-70B-Storytelling | [
"region:us"
] | 2024-01-08T04:04:40+00:00 | {"pretty_name": "Evaluation run of GOAT-AI/GOAT-70B-Storytelling", "dataset_summary": "Dataset automatically created during the evaluation run of model [GOAT-AI/GOAT-70B-Storytelling](https://huggingface.co/GOAT-AI/GOAT-70B-Storytelling) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2024-01-08T04:05:02+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of GOAT-AI/GOAT-70B-Storytelling
Dataset automatically created during the evaluation run of model GOAT-AI/GOAT-70B-Storytelling on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been creat... | [
"# Dataset Card for Evaluation run of GOAT-AI/GOAT-70B-Storytelling\n\n\n\nDataset automatically created during the evaluation run of model GOAT-AI/GOAT-70B-Storytelling 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 ha... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of GOAT-AI/GOAT-70B-Storytelling\n\n\n\nDataset automatically created during the evaluation run of model GOAT-AI/GOAT-70B-Storytelling on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluate... | [
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78aa3747b7d65ec84486de39d3b644d7f863aa7b |
<p align="center">
<img src="https://s11.ax1x.com/2023/12/28/piqvDMV.png" width="250" style="margin-bottom: 0.2;"/>
<p>
<h2 align="center"> <a href="https://arxiv.org/abs/2401.15947">MoE-LLaVA: Mixture of Experts for Large Vision-Language Models</a></h2>
<h5 align="center"> If you like our project, please give us... | LanguageBind/MoE-LLaVA | [
"license:apache-2.0",
"arxiv:2401.15947",
"region:us"
] | 2024-01-08T04:43:17+00:00 | {"license": "apache-2.0"} | 2024-02-15T05:16:14+00:00 | [
"2401.15947"
] | [] | TAGS
#license-apache-2.0 #arxiv-2401.15947 #region-us
|
[If you like our project, please give us a star ⭐ on GitHub for latest update.](URL Mixture of Experts for Large Vision-Language Models</a></h2>
<h5 align=)
-----------------------------------------------------------------------------------------------------------------------------------------------... | [
"##### \n\n\nNews\n----\n\n\n* [2024.01.30] The paper is released.\n* [2024.01.27] Hugging Face demo and all codes & datasets are available now! Welcome to watch this repository for the latest updates.\n\n\nHighlights\n----------\n\n\nMoE-LLaVA shows excellent performance in multi-modal learning.",
"### High perf... | [
"TAGS\n#license-apache-2.0 #arxiv-2401.15947 #region-us \n",
"##### \n\n\nNews\n----\n\n\n* [2024.01.30] The paper is released.\n* [2024.01.27] Hugging Face demo and all codes & datasets are available now! Welcome to watch this repository for the latest updates.\n\n\nHighlights\n----------\n\n\nMoE-LLaVA shows ex... | [
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"passage: TAGS\n#license-apache-2.0 #arxiv-2401.15947 #region-us \n##### \n\n\nNews\n----\n\n\n* [2024.01.30] The paper is released.\n* [2024.01.27] Hugging Face demo and all codes & datasets are available now! Welcome to watch this repository for the latest updates.\n\n\nHighlights\n----------\n\n\nMoE-LLaVA shows... |
3f70f5c201144330e4c82afdd9e670eb562d536c | [epfl-llm/guidelines](https://huggingface.co/datasets/epfl-llm/guidelines) converted to work with axolotl completion or pretraining. | PJMixers/epfl-llm_guidelines_axolotl-completion | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"source_datasets:epfl-llm/guidelines",
"language:en",
"license:other",
"medical",
"health",
"region:us"
] | 2024-01-08T05:02:59+00:00 | {"language": ["en"], "license": "other", "size_categories": ["10K<n<100K"], "source_datasets": "epfl-llm/guidelines", "task_categories": ["text-generation"], "pretty_name": "Clinical Guidelines", "license_name": "common-crawl", "license_link": "LICENSE", "configs": [{"config_name": "default", "data_files": [{"split": "... | 2024-01-08T05:11:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #source_datasets-epfl-llm/guidelines #language-English #license-other #medical #health #region-us
| epfl-llm/guidelines converted to work with axolotl completion or pretraining. | [] | [
"TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #source_datasets-epfl-llm/guidelines #language-English #license-other #medical #health #region-us \n"
] | [
58
] | [
"passage: TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #source_datasets-epfl-llm/guidelines #language-English #license-other #medical #health #region-us \n"
] |
56077beca7de956546022907d27bf1256c96cc11 | # Dataset Card for "ScienceEval"
The dataset is crawled from STEMEZ website under the science category, which contains mostly university-level science questions from math, biology, chemistry, computer science and physics. The crawling script can be found in https://github.com/wenhuchen/ScienceEval. | TIGER-Lab/ScienceEval | [
"region:us"
] | 2024-01-08T05:06:28+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "solution", "dtype": "string"}, {"name": "images", "dtype": "image"}, {"name": "image_question", "dtype": "bool"}, {"name": "short_answer", "dtype": "bool"}, {"name": "answer", "dtype": "string"}, {"name": "subject", "dtype": "string"}], "... | 2024-01-29T21:12:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ScienceEval"
The dataset is crawled from STEMEZ website under the science category, which contains mostly university-level science questions from math, biology, chemistry, computer science and physics. The crawling script can be found in URL | [
"# Dataset Card for \"ScienceEval\"\n\nThe dataset is crawled from STEMEZ website under the science category, which contains mostly university-level science questions from math, biology, chemistry, computer science and physics. The crawling script can be found in URL"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ScienceEval\"\n\nThe dataset is crawled from STEMEZ website under the science category, which contains mostly university-level science questions from math, biology, chemistry, computer science and physics. The crawling script can be found in URL"
] | [
6,
62
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ScienceEval\"\n\nThe dataset is crawled from STEMEZ website under the science category, which contains mostly university-level science questions from math, biology, chemistry, computer science and physics. The crawling script can be found in URL"
] |
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