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d358317f373e60aad8af4a2d00459db379812919 |
# Dataset Card for Evaluation run of postbot/distilgpt2-emailgen-V2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/postbot/distilgpt2-emailgen-V2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.c... | open-llm-leaderboard/details_postbot__distilgpt2-emailgen-V2 | [
"region:us"
] | 2023-11-13T13:30:39+00:00 | {"pretty_name": "Evaluation run of postbot/distilgpt2-emailgen-V2", "dataset_summary": "Dataset automatically created during the evaluation run of model [postbot/distilgpt2-emailgen-V2](https://huggingface.co/postbot/distilgpt2-emailgen-V2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-11-13T13:31:25+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of postbot/distilgpt2-emailgen-V2
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
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3f3716a313f306e53553d57b2f11474f2cad113f | # Dataset Card for "zola"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | truong-xuan-linh/zola | [
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] | 2023-11-13T13:48:54+00:00 | {"dataset_info": {"features": [{"name": "bannerImage", "dtype": "image"}, {"name": "en_caption", "dtype": "string"}, {"name": "concat_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 49802715.406, "num_examples": 1362}], "download_size": 48774124, "dataset_size": 49802715.406}, "configs": [{"con... | 2023-11-15T15:41:45+00:00 | [] | [] | TAGS
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| # Dataset Card for "zola"
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b9a6f3b7f43788b15c655ce7bac5fe0d62c55731 | # Dataset Card for "oct-object-detection"
Dataset is composed of images with individual object detection box in coco format (x,y,w,h). Images are OCT (type of eye scaner) with boxes indicating some features associated to AMD disease.
[Source datataset](https://doi.org/10.1101/2023.03.29.534704) | joseluhf11/oct-object-detection | [
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] | 2023-11-13T13:51:02+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "objects", "struct": [{"name": "bbox", "sequence": {"sequence": "int64"}}, {"name": "categories", "sequence": "string"}]}], "splits": [{"name": "train", "num_bytes": 666483144.628, "num_examples": 4698}], "download_size": 76903163, "dataset_si... | 2023-11-22T08:36:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oct-object-detection"
Dataset is composed of images with individual object detection box in coco format (x,y,w,h). Images are OCT (type of eye scaner) with boxes indicating some features associated to AMD disease.
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87393953c16f00c31836166e518cb276574a0068 |
# Dataset Card for Evaluation run of EleutherAI/pythia-410m
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/EleutherAI/pythia-410m
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset S... | open-llm-leaderboard/details_EleutherAI__pythia-410m | [
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] | 2023-11-13T14:14:11+00:00 | {"pretty_name": "Evaluation run of EleutherAI/pythia-410m", "dataset_summary": "Dataset automatically created during the evaluation run of model [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2023-11-13T14:14:55+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of EleutherAI/pythia-410m
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model EleutherAI/pythia-410m on the Open LLM Leaderboard.
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ff505c1d7e320dcc4dc85ba5d6a002c058174c00 | # Translated STS dataset to Norwegian Bokmål
Machine translated using the *No language left behind* model series, specifically the 1.3B variant: https://huggingface.co/facebook/nllb-200-distilled-1.3B | tollefj/stsbenchmark-sts-NOB | [
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#license-cc-by-4.0 #region-us
| # Translated STS dataset to Norwegian Bokmål
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b44d3dd23f2ce568aae900b835d9fb9ee2530eb4 | # Dataset Card for "mistral-intent-data-1732"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pankajemplay/mistral-intent-data-1732 | [
"region:us"
] | 2023-11-13T14:31:31+00:00 | {"dataset_info": {"features": [{"name": "User Query", "dtype": "string"}, {"name": "Intent", "dtype": "string"}, {"name": "id type", "dtype": "string"}, {"name": "id value", "dtype": "string"}, {"name": "id slot filled", "dtype": "bool"}, {"name": "Task", "dtype": "string"}, {"name": "task slot filled", "dtype": "bool"... | 2023-11-13T14:31:33+00:00 | [] | [] | TAGS
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| # Dataset Card for "mistral-intent-data-1732"
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6e31d7d31b16876a2fd49936b49d04c057669ae4 |
# Dataset Card for Evaluation run of L-R/LLmRa-2.7B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/L-R/LLmRa-2.7B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset ... | open-llm-leaderboard/details_L-R__LLmRa-2.7B | [
"region:us"
] | 2023-11-13T14:54:50+00:00 | {"pretty_name": "Evaluation run of L-R/LLmRa-2.7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [L-R/LLmRa-2.7B](https://huggingface.co/L-R/LLmRa-2.7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of ... | 2023-11-13T14:55:35+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of L-R/LLmRa-2.7B
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model L-R/LLmRa-2.7B on the Open LLM Leaderboard.
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108ba24caa8bec86d5a3bbccfe9c3f9921e03116 | # climateBUG-Data
## Overview
climateBUG-Data is a part of the climateBUG framework. It focuses on analyzing climate-related discussions in EU banks' reporting using computational linguistics.
## Key Features
- **Dataset Composition**: The dataset includes over 1.07 million annotated statements from EU banks' annual ... | lumilogic/climateBUG-Data | [
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## Overview
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f0b17638933a6b48aa1e47cbaddf247537297263 | # cloudsen12
***``A dataset about clouds from Sentinel-2``***
CloudSEN12 is a LARGE dataset (~1 TB) for cloud semantic understanding that consists of 49,400 image patches (IP) that are evenly spread throughout all continents except Antarctica. Each IP covers 5090 x 5090 meters and contains data from Sentinel-2 level... | jfloresf/mlstac-demo | [
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==========
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de717d9c4c1322223d1c800458987c87d53ed346 | # Dataset Card for "mistral-intent-data-1615"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pankajemplay/mistral-intent-data-1615 | [
"region:us"
] | 2023-11-13T15:13:13+00:00 | {"dataset_info": {"features": [{"name": "User Query", "dtype": "string"}, {"name": "Intent", "dtype": "string"}, {"name": "id type", "dtype": "string"}, {"name": "id value", "dtype": "string"}, {"name": "id slot filled", "dtype": "bool"}, {"name": "Task", "dtype": "string"}, {"name": "task slot filled", "dtype": "bool"... | 2023-11-13T15:13:16+00:00 | [] | [] | TAGS
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469bb47634a78952e21d53e39fd7442d8b3bb112 | # Dataset Card for "death_marriage_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sreejith8100/death_marriage_data | [
"region:us"
] | 2023-11-13T15:14:28+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "death", "1": "marriage"}}}}], "splits": [{"name":... | 2023-11-13T15:17:23+00:00 | [] | [] | TAGS
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| # Dataset Card for "death_marriage_data"
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87eb6a0978bf82de10e6c2acd7f555e4f493a6d8 | # Dataset Card for "death_marriage_data2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sreejith8100/death_marriage_data2 | [
"region:us"
] | 2023-11-13T15:18:31+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "death", "1": "marriage"}}}}, {"name": "ground_tru... | 2023-11-13T15:21:00+00:00 | [] | [] | TAGS
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626e09a0c118abb94cde0b6d9e7f2b375043d58b |
# Dataset Card for Evaluation run of postbot/emailgen-pythia-410m-deduped
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/postbot/emailgen-pythia-410m-deduped
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** cle... | open-llm-leaderboard/details_postbot__emailgen-pythia-410m-deduped | [
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# Dataset Card for Evaluation run of postbot/emailgen-pythia-410m-deduped
## Dataset Description
- Homepage:
- Repository: URL
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- Point of Contact: clementine@URL
### Dataset Summary
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# Dataset Card for Evaluation run of bofenghuang/vigostral-7b-chat
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/bofenghuang/vigostral-7b-chat
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
... | open-llm-leaderboard/details_bofenghuang__vigostral-7b-chat | [
"region:us"
] | 2023-11-13T15:32:26+00:00 | {"pretty_name": "Evaluation run of bofenghuang/vigostral-7b-chat", "dataset_summary": "Dataset automatically created during the evaluation run of model [bofenghuang/vigostral-7b-chat](https://huggingface.co/bofenghuang/vigostral-7b-chat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2023-11-13T15:33:15+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of bofenghuang/vigostral-7b-chat
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
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# Dataset Card for Evaluation run of Norquinal/Mistral-7B-claude-instruct
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Norquinal/Mistral-7B-claude-instruct
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** cle... | open-llm-leaderboard/details_Norquinal__Mistral-7B-claude-instruct | [
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] | 2023-11-13T15:37:37+00:00 | {"pretty_name": "Evaluation run of Norquinal/Mistral-7B-claude-instruct", "dataset_summary": "Dataset automatically created during the evaluation run of model [Norquinal/Mistral-7B-claude-instruct](https://huggingface.co/Norquinal/Mistral-7B-claude-instruct) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2023-11-13T15:38:24+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Norquinal/Mistral-7B-claude-instruct
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
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# Dataset Card for "Continuous Scale Meaning Dataset" (CSMD)
CSMD was created for [MeaningBERT: Assessing Meaning Preservation Between Sentences](https://www.frontiersin.org/articles/10.3389/frai.2023.1223924/full).
It contains 1,355 English text simplification meaning preservation annotations. Meaning preservation ... | davebulaval/CSMD | [
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==========================================================
CSMD was created for MeaningBERT: Assessing Meaning Preservation Between Sentences.
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1ccdf977188f72d5377981b838652321fe613e2b |
---
**Dataset Summary:**
- **Name:** [Teknium DataForge Economics](https://huggingface.co/datasets/teknium/dataforge-economics)
- **Creator:** [Teknium](https://huggingface.co/teknium)
- **License:** MIT
- **Task Categories:** Conversational Analysis in Finance
- **Language:** English
- **Tags:** Finance, Economic C... | Convector/dataforge-economics-standard | [
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"size_categories:n<1K",
"language:en",
"license:mit",
"finance",
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] | 2023-11-13T15:45:04+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["conversational"], "tags": ["finance"]} | 2023-11-13T16:16:17+00:00 | [] | [
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|
---
Dataset Summary:
- Name: Teknium DataForge Economics
- Creator: Teknium
- License: MIT
- Task Categories: Conversational Analysis in Finance
- Language: English
- Tags: Finance, Economic Conversations
- Size: Less than 1,000 records
- Format: JSONL with standard Alpaca structure
- Unique Features:
- Fields: 'i... | [] | [
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5d127115858881c6b781362de2eee2d0390ebbba |
# Dataset Card for Evaluation run of 42dot/42dot_LLM-PLM-1.3B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/42dot/42dot_LLM-PLM-1.3B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Datas... | open-llm-leaderboard/details_42dot__42dot_LLM-PLM-1.3B | [
"region:us"
] | 2023-11-13T15:46:00+00:00 | {"pretty_name": "Evaluation run of 42dot/42dot_LLM-PLM-1.3B", "dataset_summary": "Dataset automatically created during the evaluation run of model [42dot/42dot_LLM-PLM-1.3B](https://huggingface.co/42dot/42dot_LLM-PLM-1.3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2023-11-15T08:15:30+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of 42dot/42dot_LLM-PLM-1.3B
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
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- Point of Contact: clementine@URL
### Dataset Summary
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# Dataset Card for Evaluation run of uukuguy/Mistral-7B-OpenOrca-lora
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/uukuguy/Mistral-7B-OpenOrca-lora
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@... | open-llm-leaderboard/details_uukuguy__Mistral-7B-OpenOrca-lora | [
"region:us"
] | 2023-11-13T15:47:20+00:00 | {"pretty_name": "Evaluation run of uukuguy/Mistral-7B-OpenOrca-lora", "dataset_summary": "Dataset automatically created during the evaluation run of model [uukuguy/Mistral-7B-OpenOrca-lora](https://huggingface.co/uukuguy/Mistral-7B-OpenOrca-lora) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2023-11-13T15:48:06+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of uukuguy/Mistral-7B-OpenOrca-lora
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model uukuguy/Mistral-7B-OpenOrca-lora on the Op... | [
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---
**Dataset Summary:**
- **Name:** [Teknium DataForge Economics](https://huggingface.co/datasets/teknium/dataforge-economics)
- **Creator:** [Teknium](https://huggingface.co/teknium)
- **License:** MIT
- **Task Categories:** Conversational Analysis in Finance
- **Language:** English
- **Tags:** Finance, Economic C... | Convector/dataforge-economics-CC | [
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---
Dataset Summary:
- Name: Teknium DataForge Economics
- Creator: Teknium
- License: MIT
- Task Categories: Conversational Analysis in Finance
- Language: English
- Tags: Finance, Economic Conversations
- Size: Less than 1,000 records
- Format: JSONL with chat completion OpenAI structure
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d7c383881ce5ea22c9918050748e382cd2d5f19c |
# Dataset Card for Evaluation run of 42dot/42dot_LLM-SFT-1.3B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/42dot/42dot_LLM-SFT-1.3B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Datas... | open-llm-leaderboard/details_42dot__42dot_LLM-SFT-1.3B | [
"region:us"
] | 2023-11-13T15:50:04+00:00 | {"pretty_name": "Evaluation run of 42dot/42dot_LLM-SFT-1.3B", "dataset_summary": "Dataset automatically created during the evaluation run of model [42dot/42dot_LLM-SFT-1.3B](https://huggingface.co/42dot/42dot_LLM-SFT-1.3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2023-11-13T15:50:51+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of 42dot/42dot_LLM-SFT-1.3B
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
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47fa51f5897e6a1bf288c6625e65ffbd9bd9be84 | # Dataset Card for "Extract-QA-question-answer-with-context"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nlplabtdtu/Extract-QA-question-answer-with-context | [
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78ff34b3b0855ad700b5cbe3b7c01b61fb8b8040 |
# Dataset Card for Evaluation run of PocketDoc/Dans-AdventurousWinds-Mk2-7b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/PocketDoc/Dans-AdventurousWinds-Mk2-7b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:**... | open-llm-leaderboard/details_PocketDoc__Dans-AdventurousWinds-Mk2-7b | [
"region:us"
] | 2023-11-13T15:55:45+00:00 | {"pretty_name": "Evaluation run of PocketDoc/Dans-AdventurousWinds-Mk2-7b", "dataset_summary": "Dataset automatically created during the evaluation run of model [PocketDoc/Dans-AdventurousWinds-Mk2-7b](https://huggingface.co/PocketDoc/Dans-AdventurousWinds-Mk2-7b) on the [Open LLM Leaderboard](https://huggingface.co/sp... | 2023-11-13T15:56:31+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of PocketDoc/Dans-AdventurousWinds-Mk2-7b
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
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949b882d218af9b7dc1f621d4a4cde19be458e92 | # Dataset Card for "GPTextSum2_data-cstnews_results"
rouge= {'rouge1': 0.4955449044644583, 'rouge2': 0.21363254435405743, 'rougeL': 0.291321677352629, 'rougeLsum': 0.291321677352629}
bert= {'precision': 0.7323895692825317, 'recall': 0.7477052390575409, 'f1': 0.739660456776619}
mover = 0.6241053412803379 | arthurmluz/GPTextSum2_data-cstnews_results | [
"region:us"
] | 2023-11-13T15:57:30+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:23:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum2_data-cstnews_results"
rouge= {'rouge1': 0.4955449044644583, 'rouge2': 0.21363254435405743, 'rougeL': 0.291321677352629, 'rougeLsum': 0.291321677352629}
bert= {'precision': 0.7323895692825317, 'recall': 0.7477052390575409, 'f1': 0.739660456776619}
mover = 0.6241053412803379 | [
"# Dataset Card for \"GPTextSum2_data-cstnews_results\"\n\nrouge= {'rouge1': 0.4955449044644583, 'rouge2': 0.21363254435405743, 'rougeL': 0.291321677352629, 'rougeLsum': 0.291321677352629}\n\nbert= {'precision': 0.7323895692825317, 'recall': 0.7477052390575409, 'f1': 0.739660456776619}\n\nmover = 0.6241053412803379... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum2_data-cstnews_results\"\n\nrouge= {'rouge1': 0.4955449044644583, 'rouge2': 0.21363254435405743, 'rougeL': 0.291321677352629, 'rougeLsum': 0.291321677352629}\n\nbert= {'precision': 0.7323895692825317, 'recall': 0.7477052390575409, 'f1': 0.739660456776619}\n... |
6cd1213deae78c4791fe7701dd19fd03447e1a47 | # Dataset Card for "GPTextSum2_data-temario_results"
rouge= {'rouge1': 0.49515643603635084, 'rouge2': 0.21756085354083887, 'rougeL': 0.3034293883115211, 'rougeLsum': 0.3034293883115211}
bert= {'precision': 0.7198777735233307, 'recall': 0.7549779504537583, 'f1': 0.7367873221635819}
mover = 0.6264011166318602 | arthurmluz/GPTextSum2_data-temario_results | [
"region:us"
] | 2023-11-13T16:01:23+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:23:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum2_data-temario_results"
rouge= {'rouge1': 0.49515643603635084, 'rouge2': 0.21756085354083887, 'rougeL': 0.3034293883115211, 'rougeLsum': 0.3034293883115211}
bert= {'precision': 0.7198777735233307, 'recall': 0.7549779504537583, 'f1': 0.7367873221635819}
mover = 0.6264011166318602 | [
"# Dataset Card for \"GPTextSum2_data-temario_results\"\n\nrouge= {'rouge1': 0.49515643603635084, 'rouge2': 0.21756085354083887, 'rougeL': 0.3034293883115211, 'rougeLsum': 0.3034293883115211}\n\nbert= {'precision': 0.7198777735233307, 'recall': 0.7549779504537583, 'f1': 0.7367873221635819}\n\nmover = 0.626401116631... | [
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"# Dataset Card for \"GPTextSum2_data-temario_results\"\n\nrouge= {'rouge1': 0.49515643603635084, 'rouge2': 0.21756085354083887, 'rougeL': 0.3034293883115211, 'rougeLsum': 0.3034293883115211}\n\nbert= {'precision': 0.7198777735233307, 'recall': 0.7549779504537583, 'f1': 0.7367873221635819}\... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum2_data-temario_results\"\n\nrouge= {'rouge1': 0.49515643603635084, 'rouge2': 0.21756085354083887, 'rougeL': 0.3034293883115211, 'rougeLsum': 0.3034293883115211}\n\nbert= {'precision': 0.7198777735233307, 'recall': 0.7549779504537583, 'f1': 0.736787322163581... |
2902292eb76bc580ccf8fc1f45c613b5b0dc48fc |
# Dataset Card for Evaluation run of w95/megachat
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/w95/megachat
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset auto... | open-llm-leaderboard/details_w95__megachat | [
"region:us"
] | 2023-11-13T16:01:50+00:00 | {"pretty_name": "Evaluation run of w95/megachat", "dataset_summary": "Dataset automatically created during the evaluation run of model [w95/megachat](https://huggingface.co/w95/megachat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of 64 con... | 2023-11-13T16:02:37+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of w95/megachat
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model w95/megachat on the Open LLM Leaderboard.
The dataset is comp... | [
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"### Dataset Summary\n\nDataset automatically created during the evaluation run of model w95/megachat on the Open LLM Leaderboard.\... | [
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70c897ca1db9b9da849cfbf1c03b13e0f78cf63d | # Dataset Card for "GPTextSum2_data-wiki_results"
rouge= {'rouge1': 0.14879950953478574, 'rouge2': 0.05639333842690715, 'rougeL': 0.11391066004959453, 'rougeLsum': 0.11391066004959453}
bert= {'precision': 0.7345356345176697, 'recall': 0.6217012137174607, 'f1': 0.6732800990343094}
mover 0.5359516886300142 | arthurmluz/GPTextSum2_data-wiki_results | [
"region:us"
] | 2023-11-13T16:08:21+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:25:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum2_data-wiki_results"
rouge= {'rouge1': 0.14879950953478574, 'rouge2': 0.05639333842690715, 'rougeL': 0.11391066004959453, 'rougeLsum': 0.11391066004959453}
bert= {'precision': 0.7345356345176697, 'recall': 0.6217012137174607, 'f1': 0.6732800990343094}
mover 0.5359516886300142 | [
"# Dataset Card for \"GPTextSum2_data-wiki_results\"\n\nrouge= {'rouge1': 0.14879950953478574, 'rouge2': 0.05639333842690715, 'rougeL': 0.11391066004959453, 'rougeLsum': 0.11391066004959453}\n\nbert= {'precision': 0.7345356345176697, 'recall': 0.6217012137174607, 'f1': 0.6732800990343094}\n\nmover 0.535951688630014... | [
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"# Dataset Card for \"GPTextSum2_data-wiki_results\"\n\nrouge= {'rouge1': 0.14879950953478574, 'rouge2': 0.05639333842690715, 'rougeL': 0.11391066004959453, 'rougeLsum': 0.11391066004959453}\n\nbert= {'precision': 0.7345356345176697, 'recall': 0.6217012137174607, 'f1': 0.6732800990343094}\n... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum2_data-wiki_results\"\n\nrouge= {'rouge1': 0.14879950953478574, 'rouge2': 0.05639333842690715, 'rougeL': 0.11391066004959453, 'rougeLsum': 0.11391066004959453}\n\nbert= {'precision': 0.7345356345176697, 'recall': 0.6217012137174607, 'f1': 0.6732800990343094... |
7ae9c1e8966f21fa1e9b877627a8f16c6aae9409 | # Dataset Card for "GPTextSum2_data-wiki_1024_results"
rouge= {'rouge1': 0.16678547787209053, 'rouge2': 0.06085047629289851, 'rougeL': 0.12034060548656048, 'rougeLsum': 0.12034060548656048}
bert= {'precision': 0.7333554565906525, 'recall': 0.6233203381299972, 'f1': 0.6735965102910996}
mover =0.5412529684132814 | arthurmluz/GPTextSum2_data-wiki_1024_results | [
"region:us"
] | 2023-11-13T16:12:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:25:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum2_data-wiki_1024_results"
rouge= {'rouge1': 0.16678547787209053, 'rouge2': 0.06085047629289851, 'rougeL': 0.12034060548656048, 'rougeLsum': 0.12034060548656048}
bert= {'precision': 0.7333554565906525, 'recall': 0.6233203381299972, 'f1': 0.6735965102910996}
mover =0.5412529684132814 | [
"# Dataset Card for \"GPTextSum2_data-wiki_1024_results\"\n\nrouge= {'rouge1': 0.16678547787209053, 'rouge2': 0.06085047629289851, 'rougeL': 0.12034060548656048, 'rougeLsum': 0.12034060548656048}\n\nbert= {'precision': 0.7333554565906525, 'recall': 0.6233203381299972, 'f1': 0.6735965102910996}\n\nmover =0.541252968... | [
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"# Dataset Card for \"GPTextSum2_data-wiki_1024_results\"\n\nrouge= {'rouge1': 0.16678547787209053, 'rouge2': 0.06085047629289851, 'rougeL': 0.12034060548656048, 'rougeLsum': 0.12034060548656048}\n\nbert= {'precision': 0.7333554565906525, 'recall': 0.6233203381299972, 'f1': 0.67359651029109... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum2_data-wiki_1024_results\"\n\nrouge= {'rouge1': 0.16678547787209053, 'rouge2': 0.06085047629289851, 'rougeL': 0.12034060548656048, 'rougeLsum': 0.12034060548656048}\n\nbert= {'precision': 0.7333554565906525, 'recall': 0.6233203381299972, 'f1': 0.67359651029... |
01dc205815d66b0c04be5f013c5afd9ff119e7e1 | # Dataset Card for "GPTextSum2_data-wiki_cstnews_results"
rouge= {'rouge1': 0.40559145209215386, 'rouge2': 0.1858323707445477, 'rougeL': 0.2713738809702273, 'rougeLsum': 0.2713738809702273}
bert= {'precision': 0.7676798492670059, 'recall': 0.7191876947879792, 'f1': 0.7423095703125}
mover = 0.6047207310084797 | arthurmluz/GPTextSum2_data-wiki_cstnews_results | [
"region:us"
] | 2023-11-13T16:16:03+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:26:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum2_data-wiki_cstnews_results"
rouge= {'rouge1': 0.40559145209215386, 'rouge2': 0.1858323707445477, 'rougeL': 0.2713738809702273, 'rougeLsum': 0.2713738809702273}
bert= {'precision': 0.7676798492670059, 'recall': 0.7191876947879792, 'f1': 0.7423095703125}
mover = 0.6047207310084797 | [
"# Dataset Card for \"GPTextSum2_data-wiki_cstnews_results\"\n\nrouge= {'rouge1': 0.40559145209215386, 'rouge2': 0.1858323707445477, 'rougeL': 0.2713738809702273, 'rougeLsum': 0.2713738809702273}\n\nbert= {'precision': 0.7676798492670059, 'recall': 0.7191876947879792, 'f1': 0.7423095703125}\n\nmover = 0.60472073100... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum2_data-wiki_cstnews_results\"\n\nrouge= {'rouge1': 0.40559145209215386, 'rouge2': 0.1858323707445477, 'rougeL': 0.2713738809702273, 'rougeLsum': 0.2713738809702273}\n\nbert= {'precision': 0.7676798492670059, 'recall': 0.7191876947879792, 'f1': 0.74230957031... |
057ded2cd9ce73ea72e0a1a78d2fafab9a6f2493 | # Dataset Card for "GPTextSum2_data-wiki_cstnews_1024_results"
rouge= {'rouge1': 0.4193415683921648, 'rouge2': 0.1880750266325746, 'rougeL': 0.26987694908006155, 'rougeLsum': 0.26987694908006155}
bert= {'precision': 0.767864066362381, 'recall': 0.7225012689828872, 'f1': 0.7442910760641098}
mover = 0.6068481625206206 | arthurmluz/GPTextSum2_data-wiki_cstnews_1024_results | [
"region:us"
] | 2023-11-13T16:18:28+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:26:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum2_data-wiki_cstnews_1024_results"
rouge= {'rouge1': 0.4193415683921648, 'rouge2': 0.1880750266325746, 'rougeL': 0.26987694908006155, 'rougeLsum': 0.26987694908006155}
bert= {'precision': 0.767864066362381, 'recall': 0.7225012689828872, 'f1': 0.7442910760641098}
mover = 0.6068481625206206 | [
"# Dataset Card for \"GPTextSum2_data-wiki_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.4193415683921648, 'rouge2': 0.1880750266325746, 'rougeL': 0.26987694908006155, 'rougeLsum': 0.26987694908006155}\n\nbert= {'precision': 0.767864066362381, 'recall': 0.7225012689828872, 'f1': 0.7442910760641098}\n\nmover = 0.606... | [
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"# Dataset Card for \"GPTextSum2_data-wiki_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.4193415683921648, 'rouge2': 0.1880750266325746, 'rougeL': 0.26987694908006155, 'rougeLsum': 0.26987694908006155}\n\nbert= {'precision': 0.767864066362381, 'recall': 0.7225012689828872, 'f1': 0.744291076... | [
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5a97195cc386f78834d8133d0d91fe0e59fff42a | # Dataset Card for "GPTextSum2_data-wiki_temario_results"
rouge= {'rouge1': 0.45050324572461636, 'rouge2': 0.2010668922579611, 'rougeL': 0.28295192431911953, 'rougeLsum': 0.28295192431911953}
bert= {'precision': 0.7481734365224838, 'recall': 0.736190888285637, 'f1': 0.7416769295930863}
mover 0.6111134514384304 | arthurmluz/GPTextSum2_data-wiki_temario_results | [
"region:us"
] | 2023-11-13T16:21:11+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:27:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum2_data-wiki_temario_results"
rouge= {'rouge1': 0.45050324572461636, 'rouge2': 0.2010668922579611, 'rougeL': 0.28295192431911953, 'rougeLsum': 0.28295192431911953}
bert= {'precision': 0.7481734365224838, 'recall': 0.736190888285637, 'f1': 0.7416769295930863}
mover 0.6111134514384304 | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum2_data-wiki_temario_results\"\n\nrouge= {'rouge1': 0.45050324572461636, 'rouge2': 0.2010668922579611, 'rougeL': 0.28295192431911953, 'rougeLsum': 0.28295192431911953}\n\nbert= {'precision': 0.7481734365224838, 'recall': 0.736190888285637, 'f1': 0.7416769295... |
e6e0e04dbba30c09d9661ddbb440dce1ea508e5a | This CSV contains voice lines up to Between Facades and Familiar Faces
Duration: January 19, 2023, 10:00:00 AM – February 06, 2023, 03:59:59 AM | Epharedam/xiaocsv | [
"region:us"
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#region-us
| This CSV contains voice lines up to Between Facades and Familiar Faces
Duration: January 19, 2023, 10:00:00 AM – February 06, 2023, 03:59:59 AM | [] | [
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] |
e74af1328d0d716e85d34e2787c2f858dd850a61 | # Dataset Card for "GPTextSum2_data-wiki_gptextsum2_results"
rouge= {'rouge1': 0.4600676970614709, 'rouge2': 0.2024089594170197, 'rougeL': 0.28630530856939856, 'rougeLsum': 0.28630530856939856}
bert= {'precision': 0.7757186979055405, 'recall': 0.7327599436044693, 'f1': 0.7533363491296768}
mover = 0.6147837362634168 | arthurmluz/GPTextSum2_data-wiki_gptextsum2_results | [
"region:us"
] | 2023-11-13T16:36:37+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:24:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum2_data-wiki_gptextsum2_results"
rouge= {'rouge1': 0.4600676970614709, 'rouge2': 0.2024089594170197, 'rougeL': 0.28630530856939856, 'rougeLsum': 0.28630530856939856}
bert= {'precision': 0.7757186979055405, 'recall': 0.7327599436044693, 'f1': 0.7533363491296768}
mover = 0.6147837362634168 | [
"# Dataset Card for \"GPTextSum2_data-wiki_gptextsum2_results\"\n\nrouge= {'rouge1': 0.4600676970614709, 'rouge2': 0.2024089594170197, 'rougeL': 0.28630530856939856, 'rougeLsum': 0.28630530856939856}\n\nbert= {'precision': 0.7757186979055405, 'recall': 0.7327599436044693, 'f1': 0.7533363491296768}\n\nmover = 0.6147... | [
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59c045ff961528ad39c20e006bffea685a1719f7 | # Dataset Card for "eur-lex-europa-merged"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chemNLP/eur-lex-europa-merged | [
"region:us"
] | 2023-11-13T16:36:58+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2027022, "num_examples": 75}], "download_size": 1035116, "dataset_size": 2027022}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-13T16:37:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "eur-lex-europa-merged"
More Information needed | [
"# Dataset Card for \"eur-lex-europa-merged\"\n\nMore Information needed"
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449753cf2e6ae419ab24d85bd8ec19863b158480 | # Dataset Card for "temario_data-wiki_gptextsum2_results"
rouge= {'rouge1': 0.3680164663597422, 'rouge2': 0.14753246828083666, 'rougeL': 0.22311494070849122, 'rougeLsum': 0.22311494070849122}
bert= {'precision': 0.7452675557136536, 'recall': 0.692316381931305, 'f1': 0.7174785995483398}
mover = 0.6042955916135626 | arthurmluz/temario_data-wiki_gptextsum2_results | [
"region:us"
] | 2023-11-13T16:40:14+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:26:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-wiki_gptextsum2_results"
rouge= {'rouge1': 0.3680164663597422, 'rouge2': 0.14753246828083666, 'rougeL': 0.22311494070849122, 'rougeLsum': 0.22311494070849122}
bert= {'precision': 0.7452675557136536, 'recall': 0.692316381931305, 'f1': 0.7174785995483398}
mover = 0.6042955916135626 | [
"# Dataset Card for \"temario_data-wiki_gptextsum2_results\"\n\nrouge= {'rouge1': 0.3680164663597422, 'rouge2': 0.14753246828083666, 'rougeL': 0.22311494070849122, 'rougeLsum': 0.22311494070849122}\n\nbert= {'precision': 0.7452675557136536, 'recall': 0.692316381931305, 'f1': 0.7174785995483398}\n\nmover = 0.6042955... | [
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54070431b9367a11a85bc19fbb831f959e301a0b | # Dataset Card for "gptextsum2_data-xlsum_results"
rouge= {'rouge1': 0.1392392018794706, 'rouge2': 0.05018310140346884, 'rougeL': 0.09939131774579779, 'rougeLsum': 0.09939131774579779}
bert= {'precision': 0.7323424190282821, 'recall': 0.6123941779136658, 'f1': 0.6667265325784684} | arthurmluz/GPTextSum2_data-xlsum_results | [
"region:us"
] | 2023-11-13T16:43:59+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:19:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gptextsum2_data-xlsum_results"
rouge= {'rouge1': 0.1392392018794706, 'rouge2': 0.05018310140346884, 'rougeL': 0.09939131774579779, 'rougeLsum': 0.09939131774579779}
bert= {'precision': 0.7323424190282821, 'recall': 0.6123941779136658, 'f1': 0.6667265325784684} | [
"# Dataset Card for \"gptextsum2_data-xlsum_results\"\n\nrouge= {'rouge1': 0.1392392018794706, 'rouge2': 0.05018310140346884, 'rougeL': 0.09939131774579779, 'rougeLsum': 0.09939131774579779}\n\nbert= {'precision': 0.7323424190282821, 'recall': 0.6123941779136658, 'f1': 0.6667265325784684}"
] | [
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... | [
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5442cd1b0fff15776bae06df49310192390d759f | # Dataset Card for "German_invoices_dataset_for_donut"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Aoschu/German_invoices_dataset_for_donut | [
"region:us"
] | 2023-11-13T16:47:36+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14904771.0, "num_examples": 97}, {"name": "validation", "num_bytes": 2313353.0, "num_examples": 14}, {"name": "test", "num_bytes": 3141357.0, "num_examples": 18}], ... | 2023-11-13T19:22:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "German_invoices_dataset_for_donut"
More Information needed | [
"# Dataset Card for \"German_invoices_dataset_for_donut\"\n\nMore Information needed"
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b31936a0b6c267e87d373014034cd8fb44ced2fb |
# Dataset Card for the Emu Edit Test Set
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Informati... | facebook/emu_edit_test_set | [
"region:us"
] | 2023-11-13T16:52:43+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "task", "dtype": "string"}, {"name": "split", ... | 2023-11-19T07:37:12+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for the Emu Edit Test Set
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Homepage: URL
- Paper: URL
### Dataset Summary
To create a benchmark for image editing w... | [
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f49809354950863775a122f2abff996b23143599 | # Dataset Card for the Emu Edit Generations on Emu Edit Test Set
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
... | facebook/emu_edit_test_set_generations | [
"region:us"
] | 2023-11-13T16:53:50+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "task", "dtype": "string"}, {"name": "split", ... | 2023-11-19T07:36:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for the Emu Edit Generations on Emu Edit Test Set
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Homepage: URL
- Paper: URL
### Dataset Summary
This dataset conta... | [
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c88c21172ba937e0087987b1cfb8dba0823c15e1 | # Dataset Card for "mini_pubmed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aryopg/mini_pubmed | [
"region:us"
] | 2023-11-13T16:54:43+00:00 | {"dataset_info": {"features": [{"name": "abstract", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13296774, "num_examples": 10000}], "download_size": 7578772, "dataset_size": 13296774}} | 2023-11-13T16:56:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mini_pubmed"
More Information needed | [
"# Dataset Card for \"mini_pubmed\"\n\nMore Information needed"
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f6a2002a5b38cbb97c23f826c5c418b4b23b704d | # Dataset Card for "gptextsum2_data-xlsum_temario_results"
rouge= {'rouge1': 0.34663019021874986, 'rouge2': 0.14819749362220133, 'rougeL': 0.21196170584218882, 'rougeLsum': 0.21196170584218882}
bert= {'precision': 0.7504127502441407, 'recall': 0.6941693127155304, 'f1': 0.720111683011055}
mover = 0.5858268677961962 | arthurmluz/GPTextSum2_data-xlsum_temario_results | [
"region:us"
] | 2023-11-13T16:55:31+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:21:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gptextsum2_data-xlsum_temario_results"
rouge= {'rouge1': 0.34663019021874986, 'rouge2': 0.14819749362220133, 'rougeL': 0.21196170584218882, 'rougeLsum': 0.21196170584218882}
bert= {'precision': 0.7504127502441407, 'recall': 0.6941693127155304, 'f1': 0.720111683011055}
mover = 0.5858268677961962 | [
"# Dataset Card for \"gptextsum2_data-xlsum_temario_results\"\n\nrouge= {'rouge1': 0.34663019021874986, 'rouge2': 0.14819749362220133, 'rougeL': 0.21196170584218882, 'rougeLsum': 0.21196170584218882}\n\nbert= {'precision': 0.7504127502441407, 'recall': 0.6941693127155304, 'f1': 0.720111683011055}\n\nmover = 0.58582... | [
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7b6dc5ed9e9eaedcf0c89706a10523e54368b2b8 | # Dataset Card for "gptextsum2_data-xlsum_cstnews_results"
rouge= {'rouge1': 0.38748303853813626, 'rouge2': 0.18195048965428265, 'rougeL': 0.24222310213649534, 'rougeLsum': 0.24222310213649534}
bert= {'precision': 0.7680569976568222, 'recall': 0.7077599495649338, 'f1': 0.7364159941673278}
mover = 0.630959465845996 | arthurmluz/GPTextSum2_data-xlsum_cstnews_results | [
"region:us"
] | 2023-11-13T16:57:26+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:19:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gptextsum2_data-xlsum_cstnews_results"
rouge= {'rouge1': 0.38748303853813626, 'rouge2': 0.18195048965428265, 'rougeL': 0.24222310213649534, 'rougeLsum': 0.24222310213649534}
bert= {'precision': 0.7680569976568222, 'recall': 0.7077599495649338, 'f1': 0.7364159941673278}
mover = 0.630959465845996 | [
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34753ecbd0eb38b78e0e99b730fafc47e2d420b3 | # Dataset Card for "gptextsum2_data-xlsum_cstnews_1024_results"
rouge= {'rouge1': 0.39418346930184295, 'rouge2': 0.17965035175767424, 'rougeL': 0.2455202016037282, 'rougeLsum': 0.2455202016037282}
bert= {'precision': 0.7633351445198059, 'recall': 0.7100760132074356, 'f1': 0.7354371815919876}
mover 0.630250283367250... | arthurmluz/GPTextSum2_data-xlsum_cstnews_1024_results | [
"region:us"
] | 2023-11-13T16:58:46+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:19:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gptextsum2_data-xlsum_cstnews_1024_results"
rouge= {'rouge1': 0.39418346930184295, 'rouge2': 0.17965035175767424, 'rougeL': 0.2455202016037282, 'rougeLsum': 0.2455202016037282}
bert= {'precision': 0.7633351445198059, 'recall': 0.7100760132074356, 'f1': 0.7354371815919876}
mover 0.630250283367250... | [
"# Dataset Card for \"gptextsum2_data-xlsum_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.39418346930184295, 'rouge2': 0.17965035175767424, 'rougeL': 0.2455202016037282, 'rougeLsum': 0.2455202016037282}\n\nbert= {'precision': 0.7633351445198059, 'recall': 0.7100760132074356, 'f1': 0.7354371815919876}\n\nmover 0.63... | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"gptextsum2_data-xlsum_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.39418346930184295, 'rouge2': 0.17965035175767424, 'rougeL': 0.2455202016037282, 'rougeLsum': 0.2455202016037282}\n\nbert= {'precision': 0.7633351445198059, 'recall': 0.7100760132074356, 'f1': 0.7354... |
f44ff7383ebe7918250e74e4e6460a6153a778fd | # Dataset Card for "gptextsum2_data-xlsum_gptextsum2_results"
rouge= {'rouge1': 0.4732098982865069, 'rouge2': 0.2074511837452419, 'rougeL': 0.2680283249468459, 'rougeLsum': 0.2680283249468459}
bert= {'precision': 0.7702845484018326, 'recall': 0.7441302567720414, 'f1': 0.7565477162599563}
mover = 0.6178455094647509 | arthurmluz/GPTextSum2_data-xlsum_gptextsum2_results | [
"region:us"
] | 2023-11-13T17:00:34+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:20:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gptextsum2_data-xlsum_gptextsum2_results"
rouge= {'rouge1': 0.4732098982865069, 'rouge2': 0.2074511837452419, 'rougeL': 0.2680283249468459, 'rougeLsum': 0.2680283249468459}
bert= {'precision': 0.7702845484018326, 'recall': 0.7441302567720414, 'f1': 0.7565477162599563}
mover = 0.6178455094647509 | [
"# Dataset Card for \"gptextsum2_data-xlsum_gptextsum2_results\"\n\nrouge= {'rouge1': 0.4732098982865069, 'rouge2': 0.2074511837452419, 'rougeL': 0.2680283249468459, 'rougeLsum': 0.2680283249468459}\n\nbert= {'precision': 0.7702845484018326, 'recall': 0.7441302567720414, 'f1': 0.7565477162599563}\n\nmover = 0.61784... | [
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8eab32a9474f79269b37aa76deae4add8766f7e9 | # Dataset Card for "cstnews_data-xlsum_gptextsum2_results"
rouge= {'rouge1': 0.5251493615673016, 'rouge2': 0.2936121215948489, 'rougeL': 0.35087788149320814, 'rougeLsum': 0.35087788149320814}
bert= {'precision': 0.7674689218401909, 'recall': 0.8024204447865486, 'f1': 0.7838323190808296}
mover = 0.6346333578747139 | arthurmluz/cstnews_data-xlsum_gptextsum2_results | [
"region:us"
] | 2023-11-13T17:02:03+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:54:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cstnews_data-xlsum_gptextsum2_results"
rouge= {'rouge1': 0.5251493615673016, 'rouge2': 0.2936121215948489, 'rougeL': 0.35087788149320814, 'rougeLsum': 0.35087788149320814}
bert= {'precision': 0.7674689218401909, 'recall': 0.8024204447865486, 'f1': 0.7838323190808296}
mover = 0.6346333578747139 | [
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"# Dataset Card for \"cstnews_data-xlsum_gptextsum2_results\"\n\nrouge= {'rouge1': 0.5251493615673016, 'rouge2': 0.2936121215948489, 'rougeL': 0.35087788149320814, 'rougeLsum': 0.35087788149320814}\n\nbert= {'precision': 0.7674689218401909, 'recall': 0.8024204447865486, 'f1': 0.783832319080... | [
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034afb3b927e372cf925ebc1b18538f619929074 | # Dataset Card for "temario_data-xlsum_gptextsum2_results"
rouge= {'rouge1': 0.41527671599026306, 'rouge2': 0.15216375743250313, 'rougeL': 0.2336496143136067, 'rougeLsum': 0.2336496143136067}
bert= {'precision': 0.7253225016593933, 'recall': 0.7107182025909424, 'f1': 0.7176165866851807}
mover = 0.6200280069222645
| arthurmluz/temario_data-xlsum_gptextsum2_results | [
"region:us"
] | 2023-11-13T17:04:23+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:31:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-xlsum_gptextsum2_results"
rouge= {'rouge1': 0.41527671599026306, 'rouge2': 0.15216375743250313, 'rougeL': 0.2336496143136067, 'rougeLsum': 0.2336496143136067}
bert= {'precision': 0.7253225016593933, 'recall': 0.7107182025909424, 'f1': 0.7176165866851807}
mover = 0.6200280069222645
| [
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dbc8d3fca4a725ea2e8f09f92736f9b42ea9c01b | # Dataset Card for "ddr_images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | marcelittle/ddr_images | [
"region:us"
] | 2023-11-13T17:16:23+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 24429708.0, "num_examples": 383}], "download_size": 24431333, "dataset_size": 24429708.0}} | 2023-11-15T01:19:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ddr_images"
More Information needed | [
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ad5b9be469f3356880d9f37b15c6d7ce2f20d10f | # Dataset Card for ReDial - PTBR
- **Original dataset:** [Redial Huggingface](https://huggingface.co/datasets/re_dial)
- **Homepage:** [ReDial Dataset](https://redialdata.github.io/website/)
- **Repository:** [ReDialData](https://github.com/ReDialData/website/tree/data)
- **Paper:** [Towards Deep Conversational Recomm... | matheusrdgsf/re_dial_ptbr | [
"task_categories:text-classification",
"task_categories:text2text-generation",
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"language:en",
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"conversational recommendation",
"recommendation",
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"regio... | 2023-11-13T17:20:04+00:00 | {"language": ["pt", "en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "text2text-generation", "conversational", "translation"], "pretty_name": "ReDial (Recommendation Dialogues) PTBR", "dataset_info": {"features": [{"name": "conversationId", "dtype": "int32"}, {"name... | 2023-11-13T18:14:31+00:00 | [] | [
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] | TAGS
#task_categories-text-classification #task_categories-text2text-generation #task_categories-conversational #task_categories-translation #size_categories-10K<n<100K #language-Portuguese #language-English #license-mit #conversational recommendation #recommendation #conversational #region-us
| # Dataset Card for ReDial - PTBR
- Original dataset: Redial Huggingface
- Homepage: ReDial Dataset
- Repository: ReDialData
- Paper: Towards Deep Conversational Recommendations
### Dataset Summary
The ReDial (Recommendation Dialogues) PTBR dataset is an annotated collection of dialogues where users recommend movies ... | [
"# Dataset Card for ReDial - PTBR\n\n- Original dataset: Redial Huggingface\n- Homepage: ReDial Dataset\n- Repository: ReDialData\n- Paper: Towards Deep Conversational Recommendations",
"### Dataset Summary\n\nThe ReDial (Recommendation Dialogues) PTBR dataset is an annotated collection of dialogues where users r... | [
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231efb0d96b50e6e8464efc24a5dd0881e855b0a |
# Dataset Card for end2end_textclassification
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`](... | argilla/end2end_textclassification | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-11-13T17:25:52+00:00 | {"size_categories": "1K<n<10K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2024-02-13T00:56:09+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us
| Dataset Card for end2end\_textclassification
============================================
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'.
Dat... | [
"### 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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b352145b68c006d2ead56a7ffd988983c547cccc | # Professor HeidelTime
[Paper](https://dl.acm.org/doi/10.1145/3583780.3615130) [GitHub](https://github.com/hmosousa/professor_heideltime)
Professor HeidelTime is a project to create a multilingual corpus weakly labeled with [HeidelTime](https://github.com/HeidelTime/heideltime), a temporal tagger.
## Corpus Detai... | hugosousa/ProfessorHeidelTime | [
"task_categories:token-classification",
"task_ids:parsing",
"task_ids:part-of-speech",
"task_ids:named-entity-recognition",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
... | 2023-11-13T17:31:13+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["en", "fr", "pt", "de", "fr", "it", "es"], "license": ["mit"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["p... | 2023-11-13T17:43:54+00:00 | [] | [
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#task_categories-token-classification #task_ids-parsing #task_ids-part-of-speech #task_ids-named-entity-recognition #annotations_creators-machine-generated #language_creators-found #multilinguality-multilingual #size_categories-100K<n<1M #source_datasets-original #language-English #language-French #language-Portug... | Professor HeidelTime
====================
Paper GitHub
Professor HeidelTime is a project to create a multilingual corpus weakly labeled with HeidelTime, a temporal tagger.
Corpus Details
--------------
The weak labeling was performed in six languages. Here are the specifics of the corpus for each language:
C... | [] | [
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bce699ffd250fbd7921d7e221124a71f2069e055 | # Concatenated STS datasets, translated to Norwegian Bokmål
Machine translated using the *No language left behind* model series, specifically the 1.3B variant: https://huggingface.co/facebook/nllb-200-distilled-1.3B
This dataset contains the following data:
```
'tollefj/biosses-sts-NOB',
'tollefj/sickr-sts-NOB',
'toll... | tollefj/sts-concatenated-NOB | [
"task_categories:sentence-similarity",
"task_categories:text-classification",
"language:no",
"language:nb",
"license:cc-by-4.0",
"region:us"
] | 2023-11-13T17:41:44+00:00 | {"language": ["no", "nb"], "license": "cc-by-4.0", "task_categories": ["sentence-similarity", "text-classification"]} | 2024-01-06T12:25:06+00:00 | [] | [
"no",
"nb"
] | TAGS
#task_categories-sentence-similarity #task_categories-text-classification #language-Norwegian #language-Norwegian Bokmål #license-cc-by-4.0 #region-us
| # Concatenated STS datasets, translated to Norwegian Bokmål
Machine translated using the *No language left behind* model series, specifically the 1.3B variant: URL
This dataset contains the following data:
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87e260a0c3f2c1333f6971ceb75ea342133571f3 |
Fuites entre l'échantillon d'entraînement et l'échantillon de test : 0 lignes soit 0.0 %
Fuites entre l'échantillon de validation et l'échantillon de test : 0 lignes soit 0.0 %
Lignes dupliquées dans l'échantillon d'entraînement : 2 lignes soit 0.013 %
Lignes dupliquées dans l'échantillon de validation : 0 ligne... | bourdoiscatie/multiconer_fr_clean | [
"region:us"
] | 2023-11-13T17:48:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": "int64"}], "split... | 2024-01-17T09:16:04+00:00 | [] | [] | TAGS
#region-us
|
Fuites entre l'échantillon d'entraînement et l'échantillon de test : 0 lignes soit 0.0 %
Fuites entre l'échantillon de validation et l'échantillon de test : 0 lignes soit 0.0 %
Lignes dupliquées dans l'échantillon d'entraînement : 2 lignes soit 0.013 %
Lignes dupliquées dans l'échantillon de validation : 0 ligne... | [] | [
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8fdb0f8dae8d3ee228269f8a8c83620de5a48677 | # Dataset Card for "10_RANDOM_WAT_FILTERED_LINKS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cc-platform-links/10_RANDOM_WAT_FILTERED_LINKS | [
"region:us"
] | 2023-11-13T17:51:47+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1505397.4479696343, "num_examples": 19940}], "download_size": 474964, "dataset_size": 1505397.4479696343}} | 2023-11-13T17:51:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "10_RANDOM_WAT_FILTERED_LINKS"
More Information needed | [
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142d6e5843729c61feb0fdd4dade39e5df35ce38 | # Dataset Card for "CASF"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Lollitor/CASF | [
"region:us"
] | 2023-11-13T18:28:09+00:00 | {"dataset_info": {"features": [{"name": "#code", "dtype": "string"}, {"name": "inputs", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 310419, "num_examples": 285}], "download_size": 110166, "dataset_size": 310419}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/t... | 2023-11-13T18:28:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CASF"
More Information needed | [
"# Dataset Card for \"CASF\"\n\nMore Information needed"
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6f974c77691c2c211044c1c64521e1d6b615cc06 |
# Dataset Card for TrustLLM
## Dataset Summary
This repository provides datasets from the TrustLLM benchmark, including six aspects: truthfulness, safety, fairness, robustness, privacy, and machine ethics.
To find more details about TrustLLM, please visit the [project website](https://trustllmbenchmark.github.io/... | TrustLLM/TrustLLM-dataset | [
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"llm",
"trustworthy ai",
"nlp",
"region:us"
] | 2023-11-13T18:51:03+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "configs": [{"config_name": "safety", "data_files": "safety/*json"}, {"config_name": "ethics", "data_files": "ethics/*json"}, {"config_name": "fairness", "data_files": "fairness/*json"}, {"config_name": "robustness", "data_files": "robustn... | 2024-01-31T11:28:51+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #license-apache-2.0 #llm #trustworthy ai #nlp #region-us
|
# Dataset Card for TrustLLM
## Dataset Summary
This repository provides datasets from the TrustLLM benchmark, including six aspects: truthfulness, safety, fairness, robustness, privacy, and machine ethics.
To find more details about TrustLLM, please visit the project website.
## Disclaimer
The dataset contain... | [
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37a64bd481945c50d7524fdea537303498e96704 | # Dataset Card for "MedicalTranscriptions_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/MedicalTranscriptions_test | [
"region:us"
] | 2023-11-13T18:51:22+00:00 | {"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": "string"}, {"name": "answer", "dtype": "... | 2023-11-13T18:51:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MedicalTranscriptions_test"
More Information needed | [
"# Dataset Card for \"MedicalTranscriptions_test\"\n\nMore Information needed"
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e9b8429001834b99df171707b141fda5da83a8dd |
# Dataset information
Dataset concatenating all NER datasets, available in French and open-source, for 3 entities (LOC, PER, ORG).
There are a total of **420,264** rows, of which 346,071 are for training, 32,951 for validation and 41,242 for testing.
Our methodology is described in a blog post available in [Engli... | CATIE-AQ/frenchNER_3entities | [
"task_categories:token-classification",
"size_categories:100K<n<1M",
"language:fr",
"license:cc-by-4.0",
"region:us"
] | 2023-11-13T18:59:10+00:00 | {"language": ["fr"], "license": "cc-by-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["token-classification"], "configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}, {"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}],... | 2024-02-07T09:09:32+00:00 | [] | [
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#task_categories-token-classification #size_categories-100K<n<1M #language-French #license-cc-by-4.0 #region-us
| Dataset information
===================
Dataset concatenating all NER datasets, available in French and open-source, for 3 entities (LOC, PER, ORG).
There are a total of 420,264 rows, of which 346,071 are for training, 32,951 for validation and 41,242 for testing.
Our methodology is described in a blog post ava... | [
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b3c7b8186043d8fa33e4af87e81f881c616d99dc | # Dataset Card for "NCBI-Disease_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/NCBI-Disease_test | [
"region:us"
] | 2023-11-13T19:28:20+00:00 | {"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": "string"}, {"name": "answer", "dtype": "... | 2023-11-13T19:28:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "NCBI-Disease_test"
More Information needed | [
"# Dataset Card for \"NCBI-Disease_test\"\n\nMore Information needed"
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9687fc59d6a6cfa2a7da08ff737fcf4336b5e13c | # Dataset Card for "NCBI-Disease_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/NCBI-Disease_train | [
"region:us"
] | 2023-11-13T19:28:36+00:00 | {"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": "conversations", "list": [{"name": "from", "dtype": "strin... | 2023-11-13T19:28:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "NCBI-Disease_train"
More Information needed | [
"# Dataset Card for \"NCBI-Disease_train\"\n\nMore Information needed"
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1ddfabd20e8b20f6234968ae87983e59357fd653 | # Dataset Card for "clinical_ner_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jiminHuang/clinical_ner_train | [
"region:us"
] | 2023-11-13T19:50:16+00:00 | {"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": "conversations", "list": [{"name": "from", "dtype": "strin... | 2023-11-13T19:50:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "clinical_ner_train"
More Information needed | [
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52c97a6b9af86c57a96d828d30c6d2940d20de33 | # Dataset Card for "clinical_ner_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/clinical_ner_train | [
"region:us"
] | 2023-11-13T19:52:44+00:00 | {"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": "conversations", "list": [{"name": "from", "dtype": "strin... | 2023-11-13T19:52:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "clinical_ner_train"
More Information needed | [
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d683fe91a87c3621a5225635280a2d57812f5295 |
If you want a small subset of this dataset, there is [histogram-comparisons-small-v1](https://huggingface.co/datasets/neoneye/histogram-comparisons-small-v1) with 150k rows.
This dataset contains 3000000 items in total. There are 3 curriculums each containing 1000000 items.
Each item is a markdown document.
Each it... | neoneye/histogram-comparisons-v1 | [
"task_categories:image-to-text",
"size_categories:1M<n<10M",
"language:en",
"license:mit",
"region:us"
] | 2023-11-13T19:54:56+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1M<n<10M"], "task_categories": ["image-to-text"]} | 2024-01-03T12:29:35+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-text #size_categories-1M<n<10M #language-English #license-mit #region-us
|
If you want a small subset of this dataset, there is histogram-comparisons-small-v1 with 150k rows.
This dataset contains 3000000 items in total. There are 3 curriculums each containing 1000000 items.
Each item is a markdown document.
Each item contains between 2 and 6 image comparisons, with a 'Summary' at the bot... | [
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ee3bd3c0a7e953203974055dd02a7b45c087cb9a |
# Dataset Card for Evaluation run of jondurbin/airoboros-m-7b-3.1.2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/jondurbin/airoboros-m-7b-3.1.2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.c... | open-llm-leaderboard/details_jondurbin__airoboros-m-7b-3.1.2 | [
"region:us"
] | 2023-11-13T19:55:07+00:00 | {"pretty_name": "Evaluation run of jondurbin/airoboros-m-7b-3.1.2", "dataset_summary": "Dataset automatically created during the evaluation run of model [jondurbin/airoboros-m-7b-3.1.2](https://huggingface.co/jondurbin/airoboros-m-7b-3.1.2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-11-13T19:55:52+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of jondurbin/airoboros-m-7b-3.1.2
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
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- Point of Contact: clementine@URL
### Dataset Summary
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392f3216f06067929f44f89ad95a10af06861c33 | # Dataset Card for "AGENT_V3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | GokhanAI/Synthetic | [
"region:us"
] | 2023-11-13T20:01:25+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype... | 2023-11-13T20:12:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AGENT_V3"
More Information needed | [
"# Dataset Card for \"AGENT_V3\"\n\nMore Information needed"
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21cd2df4c2f3e68ebb8f9da2902f30834ced630f | # Dataset Card for "ds-11-13-v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Chunt0/ds-11-13-v1 | [
"region:us"
] | 2023-11-13T20:15:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6693034.0, "num_examples": 29}], "download_size": 6686442, "dataset_siz... | 2023-11-13T20:15:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ds-11-13-v1"
More Information needed | [
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4ba4baceacf9fe17fd023fe879d782fc7d0d8dc9 | # Dataset Card for "80da83b2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/80da83b2 | [
"region:us"
] | 2023-11-13T20:26:14+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 219, "num_examples": 10}], "download_size": 1431, "dataset_size": 219}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-13T20:26:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "80da83b2"
More Information needed | [
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eea48db19d32eecaacd55b45a736ce2519992867 | # Dataset Card for "bd8b4914"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/bd8b4914 | [
"region:us"
] | 2023-11-13T20:28:26+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 249, "num_examples": 10}], "download_size": 1433, "dataset_size": 249}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-13T20:28:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bd8b4914"
More Information needed | [
"# Dataset Card for \"bd8b4914\"\n\nMore Information needed"
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ba6f133aafa044a0ee31a7e5b0bdcdaf2f27b328 | # Dataset Card for "60b7339d"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/60b7339d | [
"region:us"
] | 2023-11-13T20:35:21+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 231, "num_examples": 10}], "download_size": 1418, "dataset_size": 231}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-13T20:35:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "60b7339d"
More Information needed | [
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b607333b93361ae575e91d2d63c33a2d795ad733 | # Dataset Card for "7fb2a617"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/7fb2a617 | [
"region:us"
] | 2023-11-13T20:35:24+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 231, "num_examples": 10}], "download_size": 1418, "dataset_size": 231}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-13T20:35:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "7fb2a617"
More Information needed | [
"# Dataset Card for \"7fb2a617\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"7fb2a617\"\n\nMore Information needed"
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524d2b8cfb1967364d953fc8a6bd91ab3213de60 | # Dataset Card for "muppetshow-blip-captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Norod78/muppetshow-blip-captions | [
"region:us"
] | 2023-11-13T20:39:01+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 495380043.0, "num_examples": 402}], "download_size": 495385822, "dataset_size": 495380043.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path... | 2023-11-13T20:39:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "muppetshow-blip-captions"
More Information needed | [
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a265fa0cce514063a284c126a4bc850507ba0691 | # Dataset Card for coachingllm
<!-- Provide a quick summary of the dataset. -->
Collection of Coaching questions.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** Fabian Celik
- **Language(s) (NLP):** en
- **License:** apache-2.0 | fabiancelik/coachingllm | [
"task_categories:question-answering",
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"coaching",
"questions",
"region:us"
] | 2023-11-13T20:39:33+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["question-answering", "text-generation", "conversational"], "tags": ["coaching", "questions"]} | 2023-11-19T17:38:14+00:00 | [] | [
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#task_categories-question-answering #task_categories-text-generation #task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #coaching #questions #region-us
| # Dataset Card for coachingllm
Collection of Coaching questions.
## Dataset Details
### Dataset Description
- Curated by: Fabian Celik
- Language(s) (NLP): en
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797b732cfcd9754cea71e5c83a50e7dbe5971180 | # Dataset Card for "train_thumbnails2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Aspik101/train_thumbnails2 | [
"region:us"
] | 2023-11-13T20:51:13+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 3646466821.0, "num_examples": 513}], "download_size": 3646525869, "dataset_size": 3646466821.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-13T21:18:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "train_thumbnails2"
More Information needed | [
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5cbe6693c34b89d7d4cd61c76bd17e9fb855d884 | # Dataset Card for "fashion-decade-images-1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tonyassi/fashion-decade-images-1 | [
"region:us"
] | 2023-11-13T20:51:30+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "1910s", "1": "1920s", "2": "1930s", "3": "1940s", "4": "1950s", "5": "1960s", "6": "1970s", "7": "1980s", "8": "1990s", "9": "2000s"}}}}], "splits": [{"name": "train", "num_bytes": 726974830.3... | 2023-11-13T21:08:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fashion-decade-images-1"
More Information needed | [
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4b1cc7c94fe65367ef24fb7744d71582403f1556 | # Dataset Card for "alt_fantasy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mickume/alt_fantasy | [
"region:us"
] | 2023-11-13T21:45:52+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 653833080, "num_examples": 3488817}], "download_size": 402691207, "dataset_size": 653833080}} | 2023-11-13T22:10:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alt_fantasy"
More Information needed | [
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2f0ef86594a44c4e06290d8e6aacb89f4897e480 | Condensed version of the meta-math dataset
arxiv.org/abs/2309.12284
View the project page:
https://meta-math.github.io/
# Citation
```bibtex
@article{yu2023metamath,
title={MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models},
author={Yu, Longhui and Jiang, Weisen and Shi, Han and Yu... | cxllin/minimath | [
"license:mit",
"math",
"math-qa",
"arxiv:2309.12284",
"region:us"
] | 2023-11-13T21:47:54+00:00 | {"license": "mit", "tags": ["math", "math-qa"]} | 2023-11-13T21:51:31+00:00 | [
"2309.12284"
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#license-mit #math #math-qa #arxiv-2309.12284 #region-us
| Condensed version of the meta-math dataset
URL
View the project page:
URL
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3c6b232f7fe8f8325143eb19554111562423d768 |
<img src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/tulu-v2/Tulu%20V2%20banner.png" alt="TuluV2 banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Dataset Card for Tulu V2 Mix
*Note the [ODC-BY license](https://opendatacommons.org/licenses/by/1-0/), indicati... | allenai/tulu-v2-sft-mixture | [
"task_categories:question-answering",
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"task_categories:text-generation",
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"language:en",
"license:odc-by",
"arxiv:2305.18290",
"region:us"
] | 2023-11-13T21:56:34+00:00 | {"language": ["en"], "license": "odc-by", "size_categories": ["100K<n<1M"], "task_categories": ["question-answering", "conversational", "text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "dataset", "dtype": "str... | 2023-11-29T06:53:43+00:00 | [
"2305.18290"
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|
<img src="URL alt="TuluV2 banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Dataset Card for Tulu V2 Mix
*Note the ODC-BY license, indicating that different licenses apply to subsets of the data. This means that some portions of the dataset are non-commercial. We present the mixt... | [
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d18d3b0a4104ad09119c4c526f42570deb050697 |
# Testing Language Models on a Held-Out High School National Finals Exam
When xAI recently released [Grok-1](https://x.ai/), they evaluated it on the 2023 Hungarian national high school finals in mathematics, which was published after the training data cutoff for all the models in their evaluation. While MATH and GSM... | keirp/hungarian_national_hs_finals_exam | [
"region:us"
] | 2023-11-13T22:48:34+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "test.csv"}]}], "dataset_info": {"features": [{"name": "Question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 9300, "num_examples": 33}], "download_size": 6283, "dataset_size": 9300}} | 2023-12-04T18:49:36+00:00 | [] | [] | TAGS
#region-us
| Testing Language Models on a Held-Out High School National Finals Exam
======================================================================
When xAI recently released Grok-1, they evaluated it on the 2023 Hungarian national high school finals in mathematics, which was published after the training data cutoff for al... | [] | [
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41dbfc3f1de9ce91cb90bd4a73c74f099fba121a | # Dataset Card for "mozilla_commonvoice_hackathon_preprocessed_train_batch_5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Jayem-11/mozilla_commonvoice_hackathon_preprocessed_train_batch_5 | [
"region:us"
] | 2023-11-13T22:51:53+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "input_length", "dtype": "int64"}, {"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}, {"name": "labels_length", "dtype"... | 2023-11-13T22:56:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mozilla_commonvoice_hackathon_preprocessed_train_batch_5"
More Information needed | [
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ab93ecd31a4709b74d4224f25ae6b772fbdee0f4 | # Dataset Card for "mozilla_commonvoice_hackathon_preprocessed_train_batch_6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Jayem-11/mozilla_commonvoice_hackathon_preprocessed_train_batch_6 | [
"region:us"
] | 2023-11-13T22:58:42+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "input_length", "dtype": "int64"}, {"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}, {"name": "labels_length", "dtype"... | 2023-11-13T23:03:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mozilla_commonvoice_hackathon_preprocessed_train_batch_6"
More Information needed | [
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21f510b07b569d29cc5e87a797b085a2111eebeb | # Dataset Card for "neznaika_dataset_final_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | BogdanNV/neznaika_dataset_final_test | [
"region:us"
] | 2023-11-13T23:01:32+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_... | 2023-11-13T23:01:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "neznaika_dataset_final_test"
More Information needed | [
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3c02adfa6c22d8c2cc070a91d447ca8e712ac1ab | # Dataset Card for "TinyStoriesAll"
This dataset is converted from the TinyStories dataset https://huggingface.co/datasets/roneneldan/TinyStories
It includes all stories generated by both GPT-4 and GPT-3.5 without any metadata. The data has been deduplicated and had unicode errors fixed.
| Qilex/TinyStoriesAll | [
"language:en",
"region:us"
] | 2023-11-13T23:02:10+00:00 | {"language": ["en"], "dataset_info": {"features": [{"name": "Text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3865790579, "num_examples": 4967648}], "download_size": 1986208411, "dataset_size": 3865790579}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train... | 2023-11-13T23:15:07+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| # Dataset Card for "TinyStoriesAll"
This dataset is converted from the TinyStories dataset URL
It includes all stories generated by both GPT-4 and GPT-3.5 without any metadata. The data has been deduplicated and had unicode errors fixed.
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] |
0aca5b467549e7dc87e10651789ab5f750058ccc | # Dataset Card for "ddr_controlnet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | marcelittle/ddr_controlnet | [
"region:us"
] | 2023-11-13T23:27:52+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "conditioning_images", "1": "images"}}}}], "splits": [{"name": "train", "num_bytes": 3178357... | 2023-11-13T23:45:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ddr_controlnet"
More Information needed | [
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90daa6c6eee11976c67ad09e04c28198c828fc4c | # Dataset Card for "D50_val_datasets"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TuanBC/D50_val_datasets | [
"region:us"
] | 2023-11-13T23:31:11+00:00 | {"dataset_info": {"features": [{"name": "key", "dtype": "string"}, {"name": "audio_path", "dtype": "string"}, {"name": "text_path", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "tra... | 2023-11-13T23:39:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "D50_val_datasets"
More Information needed | [
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e6ee6d4957d46f5ba03ac5fe8c7bbaac0b551828 | # Dataset Card for "tables_qa_token_classification_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | looppayments/tables_qa_token_classification_dataset | [
"region:us"
] | 2023-11-13T23:33:09+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": {"array3_d": {"shape": [3, 224, 224], "dtype": "float32"}}}, {"name": "input_ids", "sequence": "int64"}, {"name": "attention_mask", "sequence": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "question", "dtype": "string"}, {"name": "bbox", "... | 2023-12-13T00:01:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tables_qa_token_classification_dataset"
More Information needed | [
"# Dataset Card for \"tables_qa_token_classification_dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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46a03ee028493f2cdc63047e7157f4fa8cfcf5c1 | # Dataset Card for "roleplay_realm"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | higgsfield/roleplay_realm | [
"region:us"
] | 2023-11-14T00:04:38+00:00 | {"dataset_info": {"features": [{"name": "chat", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 8884203, "num_examples": 4320}], "download_size": 3463927, "dataset_size": 8884203}, "configs": [{"config_name": "default", "data_files": [{"... | 2023-11-14T00:04:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "roleplay_realm"
More Information needed | [
"# Dataset Card for \"roleplay_realm\"\n\nMore Information needed"
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520a3aa5dffd71363d902aa2f472703485ffdc6b | <!-- To update the above `dataset_info` section, please run the following command: `datasets-cli test open_australian_legal_embeddings.py --save_info --all_configs`. -->
# **Open Australian Legal Embeddings ⚖️**
<a href="https://huggingface.co/datasets/umarbutler/open-australian-legal-embeddings" alt="Release"><img s... | umarbutler/open-australian-legal-embeddings | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:no-annotation",
"language_creators:found",
"size_categories:1M<n<10M",
"source_datasets:umarbutler/open-australian-legal-corpus",
"language:en",
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"law",
"legal",
"australia",
"embeddings",
... | 2023-11-14T00:14:21+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": "other", "size_categories": ["1M<n<10M"], "source_datasets": ["umarbutler/open-australian-legal-corpus"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "pretty_name": "Open Australian ... | 2023-12-01T05:29:52+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-no-annotation #language_creators-found #size_categories-1M<n<10M #source_datasets-umarbutler/open-australian-legal-corpus #language-English #license-other #law #legal #australia #embeddings #doi-10.57967/hf/1347 #region-us
|
# Open Australian Legal Embeddings ️
<a href="URL alt="Release"><img src="URL
The Open Australian Legal Embeddings are the first open-source embeddings of Australian legislative and judicial documents.
Trained on the largest open database of Australian law, the Open Australian Legal Corpus, the Embeddings consist ... | [
"# Open Australian Legal Embeddings ️\n<a href=\"URL alt=\"Release\"><img src=\"URL\n\nThe Open Australian Legal Embeddings are the first open-source embeddings of Australian legislative and judicial documents.\n\nTrained on the largest open database of Australian law, the Open Australian Legal Corpus, the Embeddi... | [
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a47d212f521440a6e4c3be1d6ef41cb0ac76c87a | # Bộ dữ liệu về các ngành trên đại học | H4438/education-major | [
"region:us"
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772bfbf6106d137962e185dbf25e6c687fa10d30 | # Dataset Card for "hacker_news_top_comment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | higgsfield/hacker_news_top_comment | [
"region:us"
] | 2023-11-14T01:34:14+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "completion", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 77485794, "num_examples": 118779}], "download_size": 52065753, "dataset_size": 77485794}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "... | 2023-11-14T02:01:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hacker_news_top_comment"
More Information needed | [
"# Dataset Card for \"hacker_news_top_comment\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hacker_news_top_comment\"\n\nMore Information needed"
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9605ca3d16b07c46609287aeb7eb431ae1340d62 | # Dataset Card for "year"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jxie/year | [
"region:us"
] | 2023-11-14T01:36:27+00:00 | {"dataset_info": {"features": [{"name": "inputs", "sequence": "float64"}, {"name": "label", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 271551504, "num_examples": 370972}, {"name": "val", "num_bytes": 67887876, "num_examples": 92743}, {"name": "test", "num_bytes": 37793160, "num_examples": 51630}], ... | 2023-11-14T01:36:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "year"
More Information needed | [
"# Dataset Card for \"year\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"year\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"year\"\n\nMore Information needed"
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6b2c2e4deaf36d83686a30ce829e31221b90ca9a | Bộ QA tập trung về hỏi thông tin liên lạc của trường | H4438/education-QA-contact | [
"region:us"
] | 2023-11-14T01:38:22+00:00 | {} | 2023-11-14T01:40:00+00:00 | [] | [] | TAGS
#region-us
| Bộ QA tập trung về hỏi thông tin liên lạc của trường | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
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d1371c3551be8531f557c9d96dce16d4ce03c029 | # Dataset Card for "esg2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bh8648/esg2 | [
"region:us"
] | 2023-11-14T01:50:38+00:00 | {"dataset_info": {"features": [{"name": "Major Category", "dtype": "string"}, {"name": "Middle Categoty", "dtype": "string"}, {"name": "Small Category", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 176318, "num_examples": 45}], "download_size": 92264, "dataset_si... | 2023-11-14T01:50:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "esg2"
More Information needed | [
"# Dataset Card for \"esg2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"esg2\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"esg2\"\n\nMore Information needed"
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3de89c33b278904d10a39007076cefad7e25e977 | # Dataset Card for "Gregmat_GRE_frequency"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chirunder/Gregmat_GRE_frequency | [
"region:us"
] | 2023-11-14T01:57:21+00:00 | {"dataset_info": {"features": [{"name": "word", "dtype": "string"}, {"name": "frequency", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 22450, "num_examples": 1111}], "download_size": 13408, "dataset_size": 22450}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/tr... | 2023-11-14T01:57:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Gregmat_GRE_frequency"
More Information needed | [
"# Dataset Card for \"Gregmat_GRE_frequency\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Gregmat_GRE_frequency\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"Gregmat_GRE_frequency\"\n\nMore Information needed"
] |
3b623ca11f477b0016e105158e300eb5255aa896 |
# Gendec: Gender Dection from Japanese Names with Machine Learning
This is the official repository for the Gendec framework from the paper [Gendec: Gender Dection from Japanese Names with Machine Learning](https://arxiv.org/pdf/2311.11001.pdf), which was accepted at the [ISDA'23](https://www.mirlabs.org/isda23/).
# C... | tarudesu/gendec-dataset | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:ja",
"code",
"arxiv:2311.11001",
"region:us"
] | 2023-11-14T01:59:12+00:00 | {"language": ["ja"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "Japanese Gender Detection Based on Names Dataset", "tags": ["code"], "datasets": ["tarudesu/gendec-dataset"], "metrics": ["f1"], "library_name": "transformers"} | 2023-11-25T02:08:48+00:00 | [
"2311.11001"
] | [
"ja"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-Japanese #code #arxiv-2311.11001 #region-us
|
# Gendec: Gender Dection from Japanese Names with Machine Learning
This is the official repository for the Gendec framework from the paper Gendec: Gender Dection from Japanese Names with Machine Learning, which was accepted at the ISDA'23.
The provided dataset is only used for research purposes!
# Abstract
Every h... | [
"# Gendec: Gender Dection from Japanese Names with Machine Learning\nThis is the official repository for the Gendec framework from the paper Gendec: Gender Dection from Japanese Names with Machine Learning, which was accepted at the ISDA'23.\n\n\nThe provided dataset is only used for research purposes!",
"# Abstr... | [
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6b0cd7370d51169dd065f37912a0ae260f7b32da | # Dataset Card for "complexquestion_2WIKIMQA_100_Mistral"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | presencesw/complexquestion_2WIKIMQA_100_Mistral | [
"region:us"
] | 2023-11-14T02:00:01+00:00 | {"dataset_info": {"features": [{"name": "entities", "sequence": "null"}, {"name": "triplets", "sequence": "null"}, {"name": "answer", "dtype": "string"}, {"name": "complex_question", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "user_prompt", "dtype": "string"}, {"name": "llm_output", "dty... | 2023-11-14T02:00:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "complexquestion_2WIKIMQA_100_Mistral"
More Information needed | [
"# Dataset Card for \"complexquestion_2WIKIMQA_100_Mistral\"\n\nMore Information needed"
] | [
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5a13b4e9b19c68f9159e76e3a153125da3c39495 | # Dataset Card for "law_court_opinion_casual"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zxvix/law_court_opinion_casual | [
"region:us"
] | 2023-11-14T02:11:10+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "original_text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 158304.0, "num_examples": 100}], "download_size": 107312, "datase... | 2023-11-14T02:35:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "law_court_opinion_casual"
More Information needed | [
"# Dataset Card for \"law_court_opinion_casual\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"law_court_opinion_casual\"\n\nMore Information needed"
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2523cf4a4b078d4c928e688842526b7ec9f5a84a | # Dataset Card for "best_outputs_model1_v_model2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rewcifer/best_outputs_model1_v_model2 | [
"region:us"
] | 2023-11-14T02:16:16+00:00 | {"dataset_info": {"features": [{"name": "true_findings", "dtype": "string"}, {"name": "generated_texts_1", "dtype": "string"}, {"name": "generated_texts_2", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1751637, "num_examples": 861}], "download_size": 755469, "dataset_size": 1751637}, "configs": [{"con... | 2023-11-14T02:16:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "best_outputs_model1_v_model2"
More Information needed | [
"# Dataset Card for \"best_outputs_model1_v_model2\"\n\nMore Information needed"
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cee0a0ad22832d429136e6f3534187f7ff9a4f5c |
wikipedia 日本語の文を、各種日本語の embeddings や faiss index へと変換したもの。
- [RAG用途に使える、Wikipedia 日本語の embeddings とベクトル検索用の faiss index を作った](https://secon.dev/entry/2023/12/04/080000-wikipedia-ja-embeddings/)
- [HuggingFace Space 上のデモ](https://huggingface.co/spaces/hotchpotch/wikipedia-japanese-rag-qa)
- [変換スクリプト](https://github.co... | hotchpotch/wikipedia-passages-jawiki-embeddings | [
"language:ja",
"license:other",
"region:us"
] | 2023-11-14T02:28:33+00:00 | {"language": ["ja"], "license": "other"} | 2024-01-29T01:36:49+00:00 | [] | [
"ja"
] | TAGS
#language-Japanese #license-other #region-us
|
wikipedia 日本語の文を、各種日本語の embeddings や faiss index へと変換したもの。
- RAG用途に使える、Wikipedia 日本語の embeddings とベクトル検索用の faiss index を作った
- HuggingFace Space 上のデモ
- 変換スクリプト
## 大元のデータ
- URL
## 検索タスクでのデータ評価
- ベクトル検索のみで、AI王クイズ第一回コンペに臨む - Q&Aタスクでの複数の日本語embeddingsの評価
- OpenAIの新embeddings,text-embedding-3-smallをRAGタスクで評価する
## ライセンス... | [
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"## ライセンス\n\n- 'text-embedding-*' のファイルは OpenAI のライセンスに従います。\n- それ以外は 'CC-BY-SA-4.0' です"
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"## ライセンス\n\n- 'text-embedding-*' のファイルは OpenAI のライセンスに従います。\n- それ以外は 'CC-BY-SA-4.0' です"
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] |
da2a45b3f1aa5b705f4e98063f5c0874f2cccf4a |
## Dataset Description
- **Homepage:** [ChinaOpen homepage](https://ruc-aimc-lab.github.io/ChinaOpen/)
- **Paper:** [ChinaOpen: A Dataset for Open-World Multimodal Learning](https://doi.org/10.1145/3581783.3612156)
- **Point of Contact:** [Aozhu Chen](caz@ruc.edu.cn)
### Dataset Summary
ChinaOpen-1k is a dataset ... | AIMClab/ChinaOpen | [
"size_categories:1K<n<10K",
"language:zh",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-11-14T02:35:42+00:00 | {"language": ["zh"], "license": "cc-by-nc-sa-4.0", "size_categories": ["1K<n<10K"]} | 2023-11-15T15:50:34+00:00 | [] | [
"zh"
] | TAGS
#size_categories-1K<n<10K #language-Chinese #license-cc-by-nc-sa-4.0 #region-us
|
## Dataset Description
- Homepage: ChinaOpen homepage
- Paper: ChinaOpen: A Dataset for Open-World Multimodal Learning
- Point of Contact: Aozhu Chen
### Dataset Summary
ChinaOpen-1k is a dataset sourced from Bilibili, a popular Chinese video-sharing website. It is a manually annotated test set of videos, includi... | [
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801541026a80b4e236ce660ad790d4a1df8ba8ee | # Dataset Card for "synpre_extract_q10_a5_1M_q_middle"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/synpre_extract_q10_a5_1M_q_middle | [
"region:us"
] | 2023-11-14T02:45:13+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "validation", "path": "data/validation-*"}, {"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 9241458... | 2023-11-14T02:46:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "synpre_extract_q10_a5_1M_q_middle"
More Information needed | [
"# Dataset Card for \"synpre_extract_q10_a5_1M_q_middle\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"synpre_extract_q10_a5_1M_q_middle\"\n\nMore Information needed"
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fb96b924b75e36a6df2f1dbd4d71777db3144dfb |
This collection of data includes over seventeen million global companies. The dataset has information such as a company's name, website domain, size, year founded, industry, city/state, country and the handle of their LinkedIn URL.
Schema, data stats, general documentation, and other datasets can be found at: https:/... | bigpictureio/companies-2023-q4-sm | [
"task_categories:feature-extraction",
"size_categories:10M<n<100M",
"language:en",
"license:odc-by",
"finance",
"region:us"
] | 2023-11-14T02:45:57+00:00 | {"language": ["en"], "license": "odc-by", "size_categories": ["10M<n<100M"], "task_categories": ["feature-extraction"], "pretty_name": "BigPicture 2023 Q4 Free 17M+ Company Dataset", "tags": ["finance"]} | 2023-11-14T02:53:53+00:00 | [] | [
"en"
] | TAGS
#task_categories-feature-extraction #size_categories-10M<n<100M #language-English #license-odc-by #finance #region-us
|
This collection of data includes over seventeen million global companies. The dataset has information such as a company's name, website domain, size, year founded, industry, city/state, country and the handle of their LinkedIn URL.
Schema, data stats, general documentation, and other datasets can be found at: URL | [] | [
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