| --- |
| license: apache-2.0 |
| language: |
| - en |
| - ru |
| - zh |
| - ko |
| - ur |
| - la |
| - ar |
| - de |
| - es |
| - fr |
| - hi |
| - it |
| - ja |
| - nl |
| - pt |
| tags: |
| - Num_Rows = 7,799,967 |
| - Max_length = 8180 |
| --- |
| # Everything Instruct (Multilingual Edition) |
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| Everything you need... all in one place 💘 |
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|  |
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| Everything instruct (Multilingual Edition) is a massive alpaca instruct formatted dataset consisting of a wide variety of topics meant to bring LLM's to the next level in open source AI. |
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| Note: This dataset is fully uncensored (No model will refuse any request trained on this dataset unless otherwise aligned) |
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| Note2: This version of the dataset supports the following languages: |
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| - English |
| - Russian |
| - Chinese |
| - Korean |
| - Urdu |
| - Latin |
| - Arabic |
| - German |
| - Spanish |
| - French |
| - Hindi |
| - Italian |
| - Japanese |
| - Dutch |
| - Portuguese |
| __________________________________________________________________________________ |
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| The data in this dataset features: |
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| Science: 12,580 rows |
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| Social media: 18,405 rows |
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| General Knowledge: 906,346 rows |
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| Multi-lingual: 2,937,785 rows |
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| Cooking: 20,763 rows |
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| Writing: 414,646 rows |
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| Medicine: 36,738 rows |
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| History: 10,178 rows |
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| Law: 90,394 rows |
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| Role-Play: 433,205 rows |
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| News: 124,542 rows |
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| Coding: 2,872,975 rows |
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| Math: 262,039 rows |
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| Function calling: 112,960 rows |
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| General Instruct: 998,854 rows |
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| __________________________________________________________________________________ |
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| Here are some statistical graphics to show off the data. |
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| I hope you finetune some amazing models that break the barrier between open and closed source with my data. |
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| __________________________________________________________________________________ |
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| The data in this data set is from the following sources: |
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| ## Science: |
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| - antiven0m/physical-reasoning-dpoScience |
| - LawalAfeez/science-dataset |
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| ## Social media: |
| |
| - Kyle1668/AG-Tweets |
| - euclaise/reddit-instruct-curated |
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| ## General Knowledge: |
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|
| - NousResearch/CharacterCodex_Characters |
| - jstet/quotes-500k_Famous_Quotes |
| - FronkonGames/steam-games-dataset_Video_Games |
| - totuta_youtube_subs_howto100M_HowTo |
| |
| ## Multi-lingual: |
| |
| - Amani27/massive_translation_dataset |
| - udmurtNLP/udmurt-russian-english-labse |
| - grosenthal/latin_english |
| - msarmi9/korean-english-multitarget-ted-talks-task |
| - HaiderSultanArc/MT-Urdu-English_Translate |
| - Garsa3112/ChineseEnglishTranslationDataset |
| |
| ## Cooking: |
| |
| - andrewsiah/se_cooking_preference_sft |
| - Hieu-Phamkaggle/food_recipes |
| |
| ## Writing: |
| |
| - shahules786/PoetryFoundationData |
| - euclaise/writingprompts |
| - qwedsacf/ivypanda-essaysEssay |
| |
| ## Medicine: |
| |
| - keivalya/MedQuad-MedicalQnADataset |
| - nuvocare/MSD |
| |
| ## History: |
| |
| - ambrosfitz10k/history_data_v4 |
| |
| ## Law: |
| |
| - dzunggg/legal-qa-v1 |
| |
| ## Role-Play: |
| |
| - roleplay4/fun_CoupleRP |
| - Undi95andrijdavid/roleplay-conversation-sharegpt |
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| ## News: |
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| - RealTimeData/bbc_news_alltime |
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| ## Coding: (rombodawg/code_bagel) |
| |
| - layoric/tiny-codes-alpaca |
| - glaiveai/glaive-code-assistant-v3 |
| - ajibawa-2023/Code-290k-ShareGPT |
| - chargoddard/commitpack-ft-instruct-rated |
| - iamtarun/code_instructions_120k_alpaca |
| - ise-uiuc/Magicoder-Evol-Instruct-110K |
| - cognitivecomputations/dolphin-coder |
| - nickrosh/Evol-Instruct-Code-80k-v1 |
| - coseal/CodeUltraFeedback_binarized |
| - CyberNative/Code_Vulnerability_Security_DPO |
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| ## Math: (rombodawg/code_bagel) |
| |
| - TIGER-Lab/MathInstruct |
| |
| ## Function calling: (rombodawg/code_bagel) |
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| - glaiveai/glaive-function-calling-v2 |
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| ## General Instruct: (rombodawg/OpenHermes-2.5-Uncensored) |
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| - teknium/OpenHermes-2.5 |
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|
