1,801,350 rows × 1 cols

1 text

Dataset Card for "wikitext" Dataset Summary The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License. Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger. The WikiText dataset also features a far larger… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/wikitext.

1 rows × 2 cols

2 unknown

和谐历史档案馆数据集 - Banned Historical Archives Datasets 和谐历史档案馆数据集包含已录入 https://banned-historical-archives.github.io 和暂未未录入的原始文件。 目录结构 banned-historical-archives.github.io # 已录入该网站的原始数据，不定期从 github 仓库中同步 raw # 原始文件 config # 配置文件 todo # 存放暂未录入网站的文件 部分报纸和图片资料存放在单独的仓库: 名称 地址 状态 参考消息 https://huggingface.co/datasets/banned-historical-archives/ckxx 未录入 人民日报 https://huggingface.co/datasets/banned-historical-archives/rmrb 已精选重要的文章录入 文汇报… See the full description on the dataset page: https://huggingface.co/datasets/banned-historical-archives/banned-historical-archives.

1,000 rows × 3 cols

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[!NOTE] We have released a paper for OpenThoughts! See our paper here. Open-Thoughts-1k-sample This is a 1k sample of the OpenThoughts-114k dataset. Open synthetic reasoning dataset with high-quality examples covering math, science, code, and puzzles! Inspect the content with rich formatting with Curator Viewer. Available Subsets default subset containing ready-to-train data used to finetune the OpenThinker-7B and OpenThinker-32B models: ds =… See the full description on the dataset page: https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample.

7,473 rows × 2 cols

2 text

Dataset Card for GSM8K Dataset Summary GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning. These problems take between 2 and 8 steps to solve. Solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the… See the full description on the dataset page: https://huggingface.co/datasets/openai/gsm8k.

500 rows × 13 cols

13 text

Dataset Summary SWE-bench Verified is a subset of 500 samples from the SWE-bench test set, which have been human-validated for quality. SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. See this post for more details on the human-validation process. The dataset collects 500 test Issue-Pull Request pairs from popular Python repositories. Evaluation is performed by unit test verification using post-PR behavior as the reference solution. The original… See the full description on the dataset page: https://huggingface.co/datasets/princeton-nlp/SWE-bench_Verified.

449,363 rows × 14 cols

9 text · 5 numeric

SynData 中文说明 Demo If the video cannot be displayed in your environment, open it directly: assets/syndata-demo.mp4 1. Overview SynData is a next-generation large-scale real-world multimodal dataset newly released by PsiBot. It comprehensively covers key dimensions including vision, language, and action, and provides highly realistic, high-density, and highly usable human data as a solid foundation for embodied intelligence training. Powered by… See the full description on the dataset page: https://huggingface.co/datasets/PsiBotAI/SynData.

99,842 rows × 4 cols

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Dataset Card for MMLU Dataset Summary Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt (ICLR 2021). This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The test spans subjects in the humanities, social sciences, hard sciences, and other areas that are important for some people to learn. This covers 57 tasks… See the full description on the dataset page: https://huggingface.co/datasets/cais/mmlu.

2,376 rows × 5 cols

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Dataset Card for "ai2_arc" Dataset Summary A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also including a corpus of over 14 million science sentences relevant to… See the full description on the dataset page: https://huggingface.co/datasets/allenai/ai2_arc.

392,702 rows × 4 cols

2 text · 2 numeric

Dataset Card for GLUE Dataset Summary GLUE, the General Language Understanding Evaluation benchmark (https://gluebenchmark.com/) is a collection of resources for training, evaluating, and analyzing natural language understanding systems. Supported Tasks and Leaderboards The leaderboard for the GLUE benchmark can be found at this address. It comprises the following tasks: ax A manually-curated evaluation dataset for fine-grained analysis of system… See the full description on the dataset page: https://huggingface.co/datasets/nyu-mll/glue.

50,000 rows × 2 cols

1 text · 1 numeric

Dataset Card for "imdb" Dataset Summary Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well. Supported Tasks and Leaderboards More Information Needed Languages More Information Needed Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/imdb.

164 rows × 5 cols

5 text

Dataset Card for OpenAI HumanEval Dataset Summary The HumanEval dataset released by OpenAI includes 164 programming problems with a function sig- nature, docstring, body, and several unit tests. They were handwritten to ensure not to be included in the training set of code generation models. Supported Tasks and Leaderboards Languages The programming problems are written in Python and contain English natural text in comments and docstrings.… See the full description on the dataset page: https://huggingface.co/datasets/openai/openai_humaneval.

39,905 rows × 10 cols

8 text · 1 numeric · 1 unknown

Dataset Card for "hellaswag" Dataset Summary HellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019. Supported Tasks and Leaderboards More Information Needed Languages More Information Needed Dataset Structure Data Instances default Size of downloaded dataset files: 71.49 MB Size of the generated dataset: 65.32 MB Total amount of disk used: 136.81… See the full description on the dataset page: https://huggingface.co/datasets/Rowan/hellaswag.

287,113 rows × 3 cols

3 text

Dataset Card for CNN Dailymail Dataset Dataset Summary The CNN / DailyMail Dataset is an English-language dataset containing just over 300k unique news articles as written by journalists at CNN and the Daily Mail. The current version supports both extractive and abstractive summarization, though the original version was created for machine reading and comprehension and abstractive question answering. Supported Tasks and Leaderboards 'summarization': Versions… See the full description on the dataset page: https://huggingface.co/datasets/abisee/cnn_dailymail.

48,718 rows × 7 cols

6 text · 1 numeric

Prophet's Mosque Library 📖 Overview Prophet’s Mosque Library is one of the primary resources for Islamic books. It hosts more than 48,000 PDF books across over 70 categories. In this dataset, we processed the original PDF files using Google Document AI APIs and extracted their contents into two additional formats: TXT and DOCX. 📊 Dataset Contents The dataset includes 70,884 PDF files (spanning 23,494,042 pages) representing 48,717 Islamic books. Each book is… See the full description on the dataset page: https://huggingface.co/datasets/ieasybooks-org/prophet-mosque-library.

50,000 rows × 2 cols

2 text

The dataset of the most popular text-to-image prompts. Dataset Details Dataset Description Curated by: kazimir.ai Funded by [optional]: [More Information Needed] Shared by [optional]: https://kazimir.ai License: apache-2.0 Dataset Sources [optional] Repository: [More Information Needed] Paper [optional]: [More Information Needed] Demo [optional]: [More Information Needed] Uses Free to use. Dataset Structure CSV file… See the full description on the dataset page: https://huggingface.co/datasets/Kazimir-ai/text-to-image-prompts.

10,050,000 rows × 12 cols

6 text · 5 numeric · 1 unknown

Fineweb-Edu-Fortified The composition of fineweb-edu-fortified, produced by automatically clustering a 500k row sample in Airtrain What is it? Fineweb-Edu-Fortified is a dataset derived from Fineweb-Edu by applying exact-match deduplication across the whole dataset and producing an embedding for each row. The number of times the text from each row appears is also included as a count column. The embeddings were produced using TaylorAI/bge-micro Fineweb and… See the full description on the dataset page: https://huggingface.co/datasets/airtrain-ai/fineweb-edu-fortified.

40,398 rows × 4 cols

4 text

Dataset Card for "winogrande" Dataset Summary WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires commonsense reasoning. Supported Tasks and Leaderboards More Information… See the full description on the dataset page: https://huggingface.co/datasets/allenai/winogrande.

25 rows × 2 cols

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American Sign Language (ASL) Dataset Description:This dataset contains 108,618 videos representing 2,208 ASL words, with each word having a minimum of 30 videos. The videos were scraped, collected from multiple sources, and preprocessed to ensure consistency, quality, and usability for machine learning and gesture recognition tasks. Each video is ≤10 MB, optimized for storage and model training.The dataset can be used for ASL gesture recognition, video-based ML tasks, and model… See the full description on the dataset page: https://huggingface.co/datasets/ZahidYasinMittha/American-Sign-Language-Dataset.

3 rows × 3 cols

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LLaVA-OneVision-2-Data Training data for the LLaVA-OneVision-2 multimodal model family, covering large-scale video and spatial reasoning corpora used in mid-training. Dataset Composition Subset Format Description mid_training_video/60s_rest/ WebDataset (.tar) 10,809 shards of ~60s video clips mid_training_video/caption_v0/split_30s.jsonl JSONL Captions for 30-second video clips mid_training_video/caption_v0/split_60s.jsonl JSONL Captions for 60-second video… See the full description on the dataset page: https://huggingface.co/datasets/mvp-lab/LLaVA-OneVision-2-Data.