Datasets:

H-D-T
/

Select-Stack

@@ -1,5 +1,5 @@
 ---
-license: mit
 language:
 - en
 tags:
@@ -14,9 +14,9 @@ tags:
 - chatml
 - text-generation
 - instruction
-pretty_name: Select Stack
 size_categories:
-- 1M<n<10M
 ---
@@ -28,20 +28,21 @@ size_categories:
 - [Alignment Lab AI](https://AlignmentLab.ai) is pleased to introduce our latest research efforts with:
-**Buzz**, a highly curated pretraining scale assistant dataset, unifying RL and SFT, developed in collaboration with [Hive Digital Technologies](https://hivedt.com/).
-The Buzz model, Dataset, and Code are to be released to build a toolkit that aims to demonstrate the potential for reuse and optimization of existing pretrained language models to continuously refine the heights of performance that can be achieved with optimal use of FlOps. Alongside Buzz-5b-Medium, we release
-- [The Buzz Dataset](https://huggingface.co/datasets/tempbuzz/Buzz)
-- [Buzz-2.5b-Small](https://huggingface.co/tempbuzz/buzz-Buzz-2.5b-Small)
-- [Buzz-8B-Large](https://huggingface.co/tempbuzz/Lab-AI/Buzz-8B-Large)
 ## Features
-Buzz contains over 500 datasets, deduplicated, with formatting built to maintain and extend compatibility between training types and the current local ecosystem.
 the datasets within are comprised of various high quality instruction following, conversational, storytelling, and coding datasets, as well as over 5 million new rows of data, in addition to  several million reaugmented rows of data, comprising the totality of the learned techniques since our release of [Open-Orca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
 ## Iterative Fine-Tuning Methodology
 Our research builds upon the concepts introduced in several key papers, including:
@@ -60,6 +61,7 @@ By combining high quality data, iterative fine-tuning with carefully selected "g
 ## Data structure and formatting
 buzz should be out of the box compatible with the sharegpt type in Axolotl and lmsys' FastChat during training
 it containsthe following structure
 ```
@@ -105,7 +107,533 @@ to [Thomas Capelle](https://wandb.ai/capecape) et al. working on [LLM_Surgery](h
 as well as many, many others who are too numerous to name.
 # Citations
 ```

 ---
+license: cc-by-4.0
 language:
 - en
 tags:
 - chatml
 - text-generation
 - instruction
+pretty_name: Buzz-V1.2
 size_categories:
+- 1B<n<10B
 ---
 - [Alignment Lab AI](https://AlignmentLab.ai) is pleased to introduce our latest research efforts with:
+**Buzz**, a highly curated pretraining scale assistant dataset, unifying RL and SFT, developed in collaboration with [Hive Digital Technologies](https://www.hivedigitaltechnologies.com/).
+The Buzz model, Dataset, and Code are to be released to build a toolkit that aims to demonstrate the potential for reuse and optimization of existing pretrained language models to continuously refine the heights of performance that can be achieved with optimal use of FlOps. Alongside Buzz-8b-Large, we release
+- [The Buzz Dataset](https://huggingface.co/datasets/H-D-T/Buzz)
+- [Buzz-2.5b-Small](https://huggingface.co/tempbuzz/Lab-AI/Buzz-3b-Small-v0.5)
+- [Buzz-5b-Medium](https://huggingface.co/tempbuzz/Lab-AI/Buzz-5B-Medium-v0.5)
+- [Buzz-8B-Large](https://huggingface.co/tempbuzz/Lab-AI/Buzz-8B-Large-v0.5)
 ## Features
+Buzz contains 435 high quality instruction following and conversational datasets, deduplicated, with formatting built to maintain and extend compatibility between training types and the current local ecosystem.
 the datasets within are comprised of various high quality instruction following, conversational, storytelling, and coding datasets, as well as over 5 million new rows of data, in addition to  several million reaugmented rows of data, comprising the totality of the learned techniques since our release of [Open-Orca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
+cumulatively making up roughly 85 million turns of conversations, in a mix of single and multiturn rows.
 ## Iterative Fine-Tuning Methodology
 Our research builds upon the concepts introduced in several key papers, including:
 ## Data structure and formatting
 buzz should be out of the box compatible with the sharegpt type in Axolotl and lmsys' FastChat during training
 it containsthe following structure
+[EDIT]: filtered for bias examples!
 ```
 as well as many, many others who are too numerous to name.
+# Dataset Sources
+Sources in the source column which refer only to a model name are from  Nectar, Lmsys 55k preference, and various user submitted distillation datasets
+inspired by [Ontocord](https://huggingface.co/ontocord)'s dataset https://huggingface.co/datasets/laion/OIG
+```
+Muennighoff/tasky-commits
+Muennighoff/natural-instructions
+laion/OIG
+knowrohit07/know_medical_dialogue_v2
+knowrohit07/know-saraswati-cot
+knowrohit07/know_medical_dialogues
+H-D-T/Select-Stack [stackexchange dump, filtered for difficult, stem, technical stacks, only best rated responses kept for Buzz]
+knowrohit07/know_sql
+knowrohit07/ArithmeLogic
+knowrohit07/know_logic
+knowrohit07/know_cot
+knowrohit07/GPTscience_maths_csml
+AlignmentLab-AI/datasci-python
+teknium/OpenHermes-2.5
+teknium/openhermes
+THUDM/AgentInstruct
+Vezora/Tested-22k-Python-Alpaca
+HuggingFaceH4/no_robots
+migtissera/Synthia-v1.3
+migtissera/Tess-Coder-v1.0
+migtissera/Quanta
+AlekseyKorshuk/gpteacher-role-play-chatml
+nampdn-ai/devdocs.io
+TIGER-Lab/MathInstruct
+TIGER-Lab/Homework-step-Comparator
+TIGER-Lab/Homework-step-Extractor
+TIGER-Lab/MATH-plus
+TIGER-Lab/MetricInstruct
+TIGER-Lab/RFT-GSM-28K
+Muennighoff/P3
+PygmalionAI/Sharegpt-soda
+taesiri/arxiv_summary
+kaist-ai/Cot-Collection
+microsoft/orca-math-word-problems-200k
+Open-Orca/FLAN [uploaded to hf, but created by Google]
+allenai/WildChat
+chargoddard/rpguild
+medalpaca/medical_meadow_medqa
+medalpaca/medical_meadow_mediqa
+medalpaca/medical_meadow_wikidoc
+medalpaca/medical_meadow_health_advice
+medalpaca/medical_meadow_medical_flashcards
+medalpaca/medical_meadow_cord19
+medalpaca/medical_meadow_wikidoc_patient_information
+medalpaca/medical_meadow_mmmlu
+medalpaca/medical_meadow_pubmed_causal
+medalpaca/medical_meadow_usmle_self_assessment
+keivalya/MedQuad-MedicalQnADataset
+IndianaUniversityDatasetsModels/MIMIC-medical-report
+Annielytics/DoctorsNotes
+lavita/ChatDoctor-HealthCareMagic-100k
+lavita/ChatDoctor-iCliniq
+mahfoos/Patient-Doctor-Conversation
+Amod/mental_health_counseling_conversations
+alexandreteles/mental-health-conversational-data
+heliosbrahma/mental_health_chatbot_dataset
+akemiH/NoteChat
+openchat/cogstack-opengpt-sharegpt
+h2oai/openassistant_oasst1_h2ogpt_llama2_chat
+openchat/openchat_sharegpt4_dataset
+garage-bAInd/Open-Platypus
+lmsys/lmsys-arena-human-preference-55k
+CarperAI/openai_summarize_tldr
+Locutusque/OpenCerebrum-dpo
+Locutusque/OpenCerebrum-2.0-SFT
+internlm/Agent-FLAN
+Clinton/Text-to-sql-v1
+meta-math/MetaMath_DPO_FewShot
+berkeley-nest/Nectar
+bigcode/commitpackft
+ybisk/piqa
+meta-math/MetaMathQA
+SAGI-1/reasoningData_200k
+```
+```
+Total Turns: 81,167,793
+Total Rows: 31,249,070
+| # | Source | Percentage | Turns | Rows |
+| - | ------ | ---------- | ----- | ---- |
+| 1 | Flan: English | 20.33% | 16,500,966 | 8,250,483 |
+| 2 | Flan: Non English | 18.47% | 14,995,714 | 7,497,857 |
+| 3 | sodey | 9.71% | 7,883,090 | 917,016 |
+| 4 | OIG soda_dialog | 7.93% | 6,436,873 | 1,191,582 |
+| 5 | various 'orca' style reaugmentations | 3.62% | 2,934,794 | 878,547 |
+| 6 | Select Stack | 3.59% | 2,911,650 | 1,455,825 |
+| 7 | sft-distil | 3.59% | 2,911,634 | 1,455,817 |
+| 8 | OIG abstract_infill | 3.52% | 2,858,795 | 232,188 |
+| 9 | medical_meadow_cord19 | 2.79% | 2,265,654 | 755,218 |
+| 10 | EverythingIsAllYouNeed0.25 | 2.39% | 1,941,198 | 970,599 |
+| 11 | MATH-plus | 2.04% | 1,658,976 | 829,488 |
+| 12 | OIG unifiedskg_instructions | 1.14% | 927,267 | 214,793 |
+| 13 | OIG nq | 1.03% | 836,194 | 307,373 |
+| 14 | MetaMath_DPO_FewShot | 0.97% | 787,998 | 393,999 |
+| 15 | MetaMathQA | 0.95% | 770,166 | 385,083 |
+| 16 | OpenHermes-2.5 | 0.95% | 769,503 | 367,336 |
+| 17 | wildchat-sharegpt | 0.94% | 764,896 | 123,596 |
+| 18 | hotdog-gpt | 0.73% | 591,467 | 190,543 |
+| 19 | Tess-Coder-v1.0 | 0.72% | 585,038 | 117,008 |
+| 20 | OIG canadian_parliament | 0.72% | 581,708 | 290,854 |
+| 21 | openhermes | 0.66% | 536,782 | 240,894 |
+| 22 | Text-to-sql-v1 | 0.65% | 524,412 | 262,206 |
+| 23 | MathInstruct | 0.61% | 491,666 | 245,833 |
+| 24 | OIG unnatural_instructions | 0.59% | 476,087 | 238,035 |
+| 25 | OIG openai_summarize_tldr | 0.58% | 466,796 | 233,398 |
+| 26 | OIG chip2 | 0.52% | 420,564 | 210,282 |
+| 27 | orcamath-sharegpt | 0.49% | 399,414 | 199,707 |
+| 28 | OIG xp3_sample | 0.46% | 376,276 | 188,138 |
+| 29 | anthropic-hh-nectar | 0.43% | 346,892 | 73,687 |
+| 30 | reasoningData_200k | 0.41% | 334,004 | 167,002 |
+| 31 | OpenCodeInterpreterData | 0.41% | 331,715 | 36,836 |
+| 32 | Synthia-v1.3 | 0.41% | 329,115 | 118,841 |
+| 33 | yaml | 0.40% | 321,755 | 110,572 |
+| 34 | GPTscience_maths_csml | 0.37% | 297,310 | 148,655 |
+| 35 | OIG squad_v2 | 0.32% | 260,638 | 19,585 |
+| 36 | OIG squad_v2_more_neg | 0.32% | 259,902 | 13,946 |
+| 37 | OIG rallio_safety_and_prosocial | 0.31% | 250,534 | 125,235 |
+| 38 | MIMIC-medical-report | 0.31% | 250,362 | 83,454 |
+| 39 | OIG mathqa_flanv2_kojma_cot | 0.30% | 243,420 | 107,564 |
+| 40 | openai_summarize_tldr | 0.29% | 233,336 | 116,668 |
+| 41 | OIG sqlv2 | 0.28% | 224,270 | 24,546 |
+| 42 | ruby | 0.24% | 197,135 | 68,086 |
+| 43 | RPGuild-sharegpt-filtered | 0.24% | 196,309 | 27,053 |
+| 44 | OIG multi_news | 0.22% | 179,888 | 89,944 |
+| 45 | markdown | 0.22% | 174,608 | 61,260 |
+| 46 | javascript | 0.19% | 156,109 | 52,289 |
+| 47 | python | 0.19% | 151,866 | 55,045 |
+| 48 | know_sql | 0.18% | 148,368 | 49,456 |
+| 49 | text | 0.16% | 133,033 | 44,926 |
+| 50 | saraswati_stem_formatted | 0.15% | 119,750 | 59,875 |
+| 51 | know_saraswati_cot_formatted | 0.14% | 116,408 | 58,204 |
+| 52 | json | 0.14% | 115,682 | 39,124 |
+| 53 | OIG hc3_human | 0.14% | 112,112 | 56,056 |
+| 54 | medical_meadow_medical_flashcards | 0.12% | 100,575 | 33,527 |
+| 55 | lmsys-chat-1m-nectar | 0.11% | 86,770 | 43,385 |
+| 56 | shell | 0.11% | 85,901 | 30,327 |
+| 57 | cogstack-opengpt-sharegpt | 0.10% | 81,667 | 31,532 |
+| 58 | Quanta | 0.10% | 78,096 | 26,032 |
+| 59 | php | 0.08% | 68,256 | 24,302 |
+| 60 | know_logic | 0.08% | 68,208 | 34,104 |
+| 61 | html | 0.07% | 57,384 | 19,750 |
+| 62 | OIG plot_screenplay_books_dialog | 0.07% | 54,981 | 7,924 |
+| 63 | java | 0.07% | 53,574 | 20,150 |
+| 64 | Open-Platypus | 0.07% | 53,373 | 24,109 |
+| 65 | RFT-GSM-28K | 0.06% | 51,092 | 25,546 |
+| 66 | OIG conv_finqa | 0.06% | 50,472 | 9,102 |
+| 67 | sharegpt-nectar | 0.06% | 49,896 | 24,948 |
+| 68 | OIG cuad | 0.05% | 41,390 | 510 |
+| 69 | OpenCerebrum-dpo | 0.05% | 40,534 | 17,013 |
+| 70 | Tested-22k-Python-Alpaca | 0.04% | 36,224 | 18,112 |
+| 71 | OIG sqlv1 | 0.04% | 34,174 | 17,087 |
+| 72 | MedQuad-MedicalQnADataset | 0.04% | 32,718 | 16,359 |
+| 73 | piqa | 0.04% | 32,212 | 16,106 |
+| 74 | html+erb | 0.04% | 31,679 | 10,708 |
+| 75 | OIG image_prompts_instructions | 0.04% | 30,932 | 15,466 |
+| 76 | medical_meadow_medqa | 0.04% | 30,534 | 10,178 |
+| 77 | ini | 0.04% | 30,461 | 10,396 |
+| 78 | medical_meadow_wikidoc | 0.04% | 29,998 | 10,000 |
+| 79 | c# | 0.03% | 26,796 | 9,220 |
+| 80 | xml | 0.03% | 26,054 | 9,085 |
+| 81 | medical_meadow_health_advice | 0.03% | 25,995 | 8,665 |
+| 82 | OIG poetry_2_song | 0.03% | 25,462 | 12,731 |
+| 83 | flan_v2_niv2-nectar | 0.03% | 24,036 | 12,018 |
+| 84 | c | 0.03% | 23,203 | 8,250 |
+| 85 | scss | 0.02% | 20,156 | 6,730 |
+| 86 | evol_instruct-nectar | 0.02% | 19,930 | 9,965 |
+| 87 | ultrachat-nectar | 0.02% | 19,822 | 9,911 |
+| 88 | restructuredtext | 0.02% | 18,901 | 6,481 |
+| 89 | OpenCerebrum-2.0-SFT | 0.02% | 18,793 | 4,382 |
+| 90 | gpteacher-role-play-chatml | 0.02% | 18,222 | 9,111 |
+| 91 | OIG grade_school_math_instructions | 0.02% | 17,584 | 8,792 |
+| 92 | OIG essays | 0.02% | 17,581 | 2,064 |
+| 93 | medical_meadow_wikidoc_patient_information | 0.02% | 17,550 | 5,850 |
+| 94 | typescript | 0.02% | 16,912 | 5,816 |
+| 95 | coffeescript | 0.02% | 15,836 | 5,403 |
+| 96 | go | 0.02% | 14,814 | 4,939 |
+| 97 | css | 0.02% | 14,654 | 4,979 |
+| 98 | scala | 0.02% | 14,184 | 4,988 |
+| 99 | c++ | 0.02% | 13,391 | 4,838 |
+| 100 | swift | 0.02% | 13,361 | 4,724 |
+| 101 | haml | 0.02% | 12,787 | 4,285 |
+| 102 | know_medical_dialogue_v2 | 0.02% | 12,580 | 6,290 |
+| 103 | medical_meadow_mmmlu | 0.01% | 11,058 | 3,686 |
+| 104 | toml | 0.01% | 10,189 | 3,411 |
+| 105 | riddler_formatted | 0.01% | 8,396 | 4,198 |
+| 106 | rust | 0.01% | 8,276 | 2,977 |
+| 107 | gpt-4-1106-preview | 0.01% | 8,106 | 4,053 |
+| 108 | extractor-00000-of-00001 | 0.01% | 7,678 | 3,839 |
+| 109 | clojure | 0.01% | 6,974 | 2,394 |
+| 110 | Patient-Doctor-Conversation | 0.01% | 6,488 | 3,244 |
+| 111 | jsx | 0.01% | 6,390 | 2,176 |
+| 112 | kotlin | 0.01% | 6,206 | 2,193 |
+| 113 | medical_meadow_mediqa | 0.01% | 6,162 | 2,054 |
+| 114 | flan_v2_cot-nectar | 0.01% | 6,000 | 3,000 |
+| 115 | perl | 0.01% | 5,837 | 2,217 |
+| 116 | mental_health_counseling_conversations | 0.01% | 5,496 | 2,748 |
+| 117 | sql | 0.01% | 5,172 | 1,998 |
+| 118 | gpt-4-0613 | 0.01% | 4,862 | 2,431 |
+| 119 | gpt-3.5-turbo-0613 | 0.01% | 4,742 | 2,371 |
+| 120 | nix | 0.01% | 4,704 | 1,582 |
+| 121 | false_qa-nectar | 0.01% | 4,640 | 2,320 |
+| 122 | unknown | 0.01% | 4,576 | 1,571 |
+| 123 | twig | 0.01% | 4,557 | 1,563 |
+| 124 | handlebars | 0.01% | 4,176 | 1,405 |
+| 125 | haskell | 0.01% | 4,095 | 1,365 |
+| 126 | batchfile | 0.00% | 4,003 | 1,409 |
+| 127 | less | 0.00% | 3,973 | 1,331 |
+| 128 | datasci-python | 0.00% | 3,966 | 1,983 |
+| 129 | gpt-4-0314 | 0.00% | 3,962 | 1,981 |
+| 130 | groovy | 0.00% | 3,952 | 1,470 |
+| 131 | flan_v2_p3-nectar | 0.00% | 3,858 | 1,929 |
+| 132 | OIG poetry_instructions | 0.00% | 3,508 | 1,754 |
+| 133 | claude-1 | 0.00% | 3,476 | 1,738 |
+| 134 | bitbake | 0.00% | 3,419 | 1,264 |
+| 135 | claude-2.1 | 0.00% | 3,400 | 1,700 |
+| 136 | jade | 0.00% | 3,282 | 1,101 |
+| 137 | elixir | 0.00% | 3,281 | 1,138 |
+| 138 | claude-instant-1 | 0.00% | 3,262 | 1,631 |
+| 139 | viml | 0.00% | 3,150 | 1,050 |
+| 140 | slim | 0.00% | 3,111 | 1,043 |
+| 141 | emacs-lisp | 0.00% | 2,884 | 983 |
+| 142 | cmake | 0.00% | 2,876 | 959 |
+| 143 | makefile | 0.00% | 2,721 | 933 |
+| 144 | powershell | 0.00% | 2,690 | 970 |
+| 145 | cucumber | 0.00% | 2,632 | 951 |
+| 146 | llama-2-70b-chat | 0.00% | 2,546 | 1,273 |
+| 147 | vicuna-33b | 0.00% | 2,526 | 1,263 |
+| 148 | lua | 0.00% | 2,517 | 904 |
+| 149 | vicuna-13b | 0.00% | 2,482 | 1,241 |
+| 150 | mistral-medium | 0.00% | 2,438 | 1,219 |
+| 151 | mixtral-8x7b-instruct-v0.1 | 0.00% | 2,390 | 1,195 |
+| 152 | fish | 0.00% | 2,275 | 802 |
+| 153 | common-lisp | 0.00% | 2,234 | 761 |
+| 154 | smarty | 0.00% | 2,127 | 723 |
+| 155 | dart | 0.00% | 2,092 | 750 |
+| 156 | sass | 0.00% | 2,060 | 692 |
+| 157 | llvm | 0.00% | 1,991 | 778 |
+| 158 | claude-2.0 | 0.00% | 1,902 | 951 |
+| 159 | saltstack | 0.00% | 1,818 | 617 |
+| 160 | gpt-3.5-turbo-1106 | 0.00% | 1,724 | 862 |
+| 161 | llama-2-13b-chat | 0.00% | 1,712 | 856 |
+| 162 | vue | 0.00% | 1,705 | 583 |
+| 163 | diff | 0.00% | 1,564 | 656 |
+| 164 | asciidoc | 0.00% | 1,523 | 508 |
+| 165 | truthful_qa-nectar | 0.00% | 1,488 | 744 |
+| 166 | zephyr-7b-beta | 0.00% | 1,428 | 714 |
+| 167 | gpt-3.5-turbo-0314 | 0.00% | 1,418 | 709 |
+| 168 | stylus | 0.00% | 1,414 | 476 |
+| 169 | freemarker | 0.00% | 1,322 | 508 |
+| 170 | erlang | 0.00% | 1,286 | 468 |
+| 171 | palm-2 | 0.00% | 1,270 | 635 |
+| 172 | hcl | 0.00% | 1,206 | 420 |
+| 173 | gpt-4-0125-preview | 0.00% | 1,192 | 596 |
+| 174 | html+django | 0.00% | 1,174 | 394 |
+| 175 | wizardlm-70b | 0.00% | 1,170 | 585 |
+| 176 | wizardlm-13b | 0.00% | 1,140 | 570 |
+| 177 | koala-13b | 0.00% | 1,120 | 560 |
+| 178 | llama-2-7b-chat | 0.00% | 1,106 | 553 |
+| 179 | yi-34b-chat | 0.00% | 1,062 | 531 |
+| 180 | qml | 0.00% | 1,053 | 362 |
+| 181 | csv | 0.00% | 1,010 | 368 |
+| 182 | gemini-pro-dev-api | 0.00% | 954 | 477 |
+| 183 | know_medical_dialogues | 0.00% | 952 | 476 |
+| 184 | openchat-3.5 | 0.00% | 944 | 472 |
+| 185 | flan_v2_flan2021-nectar | 0.00% | 928 | 464 |
+| 186 | ocaml | 0.00% | 912 | 327 |
+| 187 | gemini-pro | 0.00% | 906 | 453 |
+| 188 | pplx-70b-online | 0.00% | 896 | 448 |
+| 189 | vicuna-7b | 0.00% | 894 | 447 |
+| 190 | codellama-34b-instruct | 0.00% | 852 | 426 |
+| 191 | tex | 0.00% | 839 | 297 |
+| 192 | starling-lm-7b-alpha | 0.00% | 800 | 400 |
+| 193 | rdoc | 0.00% | 795 | 269 |
+| 194 | mistral-7b-instruct | 0.00% | 774 | 387 |
+| 195 | elm | 0.00% | 772 | 265 |
+| 196 | tulu-2-dpo-70b | 0.00% | 756 | 378 |
+| 197 | f# | 0.00% | 743 | 251 |
+| 198 | alpaca-13b | 0.00% | 710 | 355 |
+| 199 | smalltalk | 0.00% | 706 | 284 |
+| 200 | oasst-pythia-12b | 0.00% | 684 | 342 |
+| 201 | pplx-7b-online | 0.00% | 656 | 328 |
+| 202 | ada | 0.00% | 650 | 261 |
+| 203 | scheme | 0.00% | 598 | 212 |
+| 204 | openhermes-2.5-mistral-7b | 0.00% | 560 | 280 |
+| 205 | qwen-14b-chat | 0.00% | 550 | 275 |
+| 206 | arduino | 0.00% | 544 | 224 |
+| 207 | crystal | 0.00% | 536 | 182 |
+| 208 | RWKV-4-Raven-14B | 0.00% | 530 | 265 |
+| 209 | gpt-3.5-turbo-0125 | 0.00% | 528 | 264 |
+| 210 | gas | 0.00% | 502 | 192 |
+| 211 | desktop | 0.00% | 500 | 174 |
+| 212 | protocol-buffer | 0.00% | 500 | 180 |
+| 213 | julia | 0.00% | 494 | 180 |
+| 214 | guanaco-33b | 0.00% | 492 | 246 |
+| 215 | haxe | 0.00% | 488 | 173 |
+| 216 | groff | 0.00% | 485 | 188 |
+| 217 | solar-10.7b-instruct-v1.0 | 0.00% | 484 | 242 |
+| 218 | mako | 0.00% | 480 | 166 |
+| 219 | glsl | 0.00% | 471 | 157 |
+| 220 | java-server-pages | 0.00% | 463 | 163 |
+| 221 | chatglm-6b | 0.00% | 432 | 216 |
+| 222 | html+php | 0.00% | 432 | 146 |
+| 223 | qwen1.5-72b-chat | 0.00% | 426 | 213 |
+| 224 | mpt-7b-chat | 0.00% | 426 | 213 |
+| 225 | svg | 0.00% | 425 | 166 |
+| 226 | mpt-30b-chat | 0.00% | 414 | 207 |
+| 227 | stripedhyena-nous-7b | 0.00% | 412 | 206 |
+| 228 | html+eex | 0.00% | 405 | 135 |
+| 229 | openassistant_oasst1_h2ogpt_llama2_chat | 0.00% | 404 | 202 |
+| 230 | qmake | 0.00% | 401 | 135 |
+| 231 | fastchat-t5-3b | 0.00% | 388 | 194 |
+| 232 | org | 0.00% | 383 | 136 |
+| 233 | deepseek-llm-67b-chat | 0.00% | 378 | 189 |
+| 234 | llama2-70b-steerlm-chat | 0.00% | 358 | 179 |
+| 235 | rhtml | 0.00% | 356 | 124 |
+| 236 | cython | 0.00% | 322 | 115 |
+| 237 | racket | 0.00% | 321 | 116 |
+| 238 | perl6 | 0.00% | 317 | 116 |
+| 239 | chatglm3-6b | 0.00% | 314 | 157 |
+| 240 | r | 0.00% | 312 | 119 |
+| 241 | factor | 0.00% | 287 | 99 |
+| 242 | unity3d-asset | 0.00% | 282 | 101 |
+| 243 | m4 | 0.00% | 279 | 99 |
+| 244 | tcl | 0.00% | 267 | 98 |
+| 245 | stablelm-tuned-alpha-7b | 0.00% | 264 | 132 |
+| 246 | assembly | 0.00% | 260 | 104 |
+| 247 | xslt | 0.00% | 251 | 96 |
+| 248 | dolly-v2-12b | 0.00% | 248 | 124 |
+| 249 | mind2web-00000-of-00001-fc25d47330eea0fc | 0.00% | 242 | 121 |
+| 250 | objective-c++ | 0.00% | 238 | 84 |
+| 251 | zephyr-7b-alpha | 0.00% | 236 | 118 |
+| 252 | purescript | 0.00% | 225 | 80 |
+| 253 | robotframework | 0.00% | 216 | 84 |
+| 254 | nous-hermes-2-mixtral-8x7b-dpo | 0.00% | 212 | 106 |
+| 255 | standard-ml | 0.00% | 192 | 71 |
+| 256 | dolphin-2.2.1-mistral-7b | 0.00% | 190 | 95 |
+| 257 | fortran | 0.00% | 187 | 70 |
+| 258 | gpt4all-13b-snoozy | 0.00% | 186 | 93 |
+| 259 | livescript | 0.00% | 178 | 62 |
+| 260 | llama-13b | 0.00% | 176 | 88 |
+| 261 | textile | 0.00% | 173 | 60 |
+| 262 | nimrod | 0.00% | 173 | 66 |
+| 263 | falcon-180b-chat | 0.00% | 156 | 78 |
+| 264 | xtend | 0.00% | 155 | 55 |
+| 265 | gettext-catalog | 0.00% | 147 | 65 |
+| 266 | ceylon | 0.00% | 146 | 49 |
+| 267 | chatglm2-6b | 0.00% | 146 | 73 |
+| 268 | vala | 0.00% | 143 | 50 |
+| 269 | edn | 0.00% | 138 | 47 |
+| 270 | awk | 0.00% | 133 | 52 |
+| 271 | actionscript | 0.00% | 132 | 48 |
+| 272 | visual-basic | 0.00% | 131 | 47 |
+| 273 | pod | 0.00% | 130 | 48 |
+| 274 | sqf | 0.00% | 127 | 43 |
+| 275 | openchat-3.5-0106 | 0.00% | 126 | 63 |
+| 276 | dockerfile | 0.00% | 115 | 39 |
+| 277 | linker-script | 0.00% | 108 | 36 |
+| 278 | idris | 0.00% | 107 | 37 |
+| 279 | qwen1.5-7b-chat | 0.00% | 102 | 51 |
+| 280 | solidity | 0.00% | 102 | 36 |
+| 281 | systemverilog | 0.00% | 101 | 35 |
+| 282 | json5 | 0.00% | 98 | 33 |
+| 283 | jupyter-notebook | 0.00% | 98 | 47 |
+| 284 | processing | 0.00% | 96 | 35 |
+| 285 | mediawiki | 0.00% | 94 | 33 |
+| 286 | rouge | 0.00% | 92 | 41 |
+| 287 | xquery | 0.00% | 89 | 38 |
+| 288 | graphviz-dot | 0.00% | 84 | 32 |
+| 289 | liquid | 0.00% | 83 | 29 |
+| 290 | thrift | 0.00% | 77 | 28 |
+| 291 | groovy-server-pages | 0.00% | 75 | 25 |
+| 292 | pan | 0.00% | 69 | 23 |
+| 293 | qwen1.5-4b-chat | 0.00% | 68 | 34 |
+| 294 | api-blueprint | 0.00% | 67 | 23 |
+| 295 | opencl | 0.00% | 66 | 23 |
+| 296 | asp | 0.00% | 64 | 22 |
+| 297 | cuda | 0.00% | 64 | 25 |
+| 298 | logtalk | 0.00% | 63 | 21 |
+| 299 | pascal | 0.00% | 62 | 24 |
+| 300 | chapel | 0.00% | 60 | 20 |
+| 301 | sparql | 0.00% | 60 | 23 |
+| 302 | coldfusion-cfc | 0.00% | 58 | 20 |
+| 303 | applescript | 0.00% | 57 | 19 |
+| 304 | parrot-internal-representation | 0.00% | 56 | 20 |
+| 305 | logos | 0.00% | 55 | 19 |
+| 306 | mistral-7b-instruct-v0.2 | 0.00% | 54 | 27 |
+| 307 | literate-coffeescript | 0.00% | 54 | 19 |
+| 308 | digital-command-language | 0.00% | 53 | 19 |
+| 309 | turtle | 0.00% | 52 | 21 |
+| 310 | ioke | 0.00% | 52 | 19 |
+| 311 | pony | 0.00% | 48 | 16 |
+| 312 | openscad | 0.00% | 48 | 21 |
+| 313 | vcl | 0.00% | 48 | 17 |
+| 314 | graphql | 0.00% | 48 | 17 |
+| 315 | dm | 0.00% | 46 | 16 |
+| 316 | gnuplot | 0.00% | 45 | 17 |
+| 317 | ooc | 0.00% | 43 | 15 |
+| 318 | inno-setup | 0.00% | 43 | 15 |
+| 319 | gentoo-ebuild | 0.00% | 42 | 15 |
+| 320 | modelica | 0.00% | 42 | 15 |
+| 321 | antlr | 0.00% | 42 | 15 |
+| 322 | nsis | 0.00% | 41 | 15 |
+| 323 | http | 0.00% | 38 | 18 |
+| 324 | ninja | 0.00% | 36 | 14 |
+| 325 | mirah | 0.00% | 36 | 15 |
+| 326 | autohotkey | 0.00% | 36 | 15 |
+| 327 | augeas | 0.00% | 35 | 13 |
+| 328 | hy | 0.00% | 32 | 11 |
+| 329 | hlsl | 0.00% | 32 | 11 |
+| 330 | stata | 0.00% | 30 | 10 |
+| 331 | piglatin | 0.00% | 30 | 11 |
+| 332 | capn-proto | 0.00% | 28 | 10 |
+| 333 | moonscript | 0.00% | 28 | 10 |
+| 334 | coldfusion | 0.00% | 27 | 9 |
+| 335 | volt | 0.00% | 27 | 9 |
+| 336 | tcsh | 0.00% | 25 | 10 |
+| 337 | jasmin | 0.00% | 25 | 9 |
+| 338 | raml | 0.00% | 25 | 9 |
+| 339 | postscript | 0.00% | 25 | 9 |
+| 340 | scilab | 0.00% | 25 | 10 |
+| 341 | fancy | 0.00% | 24 | 8 |
+| 342 | gdscript | 0.00% | 24 | 8 |
+| 343 | latte | 0.00% | 21 | 7 |
+| 344 | aspectj | 0.00% | 20 | 7 |
+| 345 | apl | 0.00% | 20 | 7 |
+| 346 | xs | 0.00% | 20 | 7 |
+| 347 | g-code | 0.00% | 19 | 7 |
+| 348 | nesc | 0.00% | 19 | 7 |
+| 349 | emberscript | 0.00% | 19 | 7 |
+| 350 | ston | 0.00% | 18 | 6 |
+| 351 | oz | 0.00% | 18 | 7 |
+| 352 | literate-haskell | 0.00% | 18 | 7 |
+| 353 | yang | 0.00% | 17 | 6 |
+| 354 | webidl | 0.00% | 17 | 6 |
+| 355 | jsonld | 0.00% | 16 | 6 |
+| 356 | jsoniq | 0.00% | 16 | 6 |
+| 357 | lfe | 0.00% | 16 | 6 |
+| 358 | pike | 0.00% | 15 | 6 |
+| 359 | purebasic | 0.00% | 15 | 5 |
+| 360 | pov-ray-sdl | 0.00% | 14 | 5 |
+| 361 | lilypond | 0.00% | 13 | 6 |
+| 362 | agda | 0.00% | 13 | 5 |
+| 363 | vhdl | 0.00% | 13 | 5 |
+| 364 | zephir | 0.00% | 12 | 4 |
+| 365 | mupad | 0.00% | 12 | 4 |
+| 366 | mask | 0.00% | 12 | 4 |
+| 367 | krl | 0.00% | 12 | 4 |
+| 368 | zig | 0.00% | 12 | 4 |
+| 369 | metal | 0.00% | 12 | 4 |
+| 370 | slash | 0.00% | 12 | 4 |
+| 371 | io | 0.00% | 12 | 4 |
+| 372 | monkey | 0.00% | 12 | 4 |
+| 373 | ragel-in-ruby-host | 0.00% | 10 | 4 |
+| 374 | xbase | 0.00% | 9 | 3 |
+| 375 | eagle | 0.00% | 9 | 4 |
+| 376 | squirrel | 0.00% | 9 | 4 |
+| 377 | genshi | 0.00% | 9 | 3 |
+| 378 | cartocss | 0.00% | 9 | 3 |
+| 379 | xproc | 0.00% | 9 | 3 |
+| 380 | wisp | 0.00% | 9 | 3 |
+| 381 | urweb | 0.00% | 9 | 3 |
+| 382 | yacc | 0.00% | 8 | 3 |
+| 383 | smt | 0.00% | 8 | 3 |
+| 384 | medical_meadow_pubmed_causal | 0.00% | 8 | 4 |
+| 385 | lsl | 0.00% | 8 | 3 |
+| 386 | ats | 0.00% | 8 | 3 |
+| 387 | flux | 0.00% | 8 | 3 |
+| 388 | bro | 0.00% | 8 | 3 |
+| 389 | ecl | 0.00% | 8 | 4 |
+| 390 | nit | 0.00% | 7 | 3 |
+| 391 | pawn | 0.00% | 7 | 3 |
+| 392 | rebol | 0.00% | 7 | 3 |
+| 393 | mtml | 0.00% | 6 | 2 |
+| 394 | eiffel | 0.00% | 6 | 2 |
+| 395 | c2hs-haskell | 0.00% | 6 | 2 |
+| 396 | uno | 0.00% | 6 | 2 |
+| 397 | lean | 0.00% | 6 | 3 |
+| 398 | sourcepawn | 0.00% | 6 | 3 |
+| 399 | brainfuck | 0.00% | 6 | 2 |
+| 400 | renpy | 0.00% | 6 | 2 |
+| 401 | boo | 0.00% | 6 | 2 |
+| 402 | arc | 0.00% | 6 | 2 |
+| 403 | dylan | 0.00% | 6 | 2 |
+| 404 | bluespec | 0.00% | 6 | 2 |
+| 405 | creole | 0.00% | 6 | 2 |
+| 406 | forth | 0.00% | 6 | 2 |
+| 407 | apacheconf | 0.00% | 6 | 2 |
+| 408 | isabelle | 0.00% | 5 | 2 |
+| 409 | maple | 0.00% | 5 | 2 |
+| 410 | dns-zone | 0.00% | 5 | 2 |
+| 411 | nginx | 0.00% | 5 | 2 |
+| 412 | inform-7 | 0.00% | 5 | 2 |
+| 413 | csound | 0.00% | 4 | 2 |
+| 414 | nu | 0.00% | 4 | 2 |
+| 415 | supercollider | 0.00% | 4 | 2 |
+| 416 | parrot-assembly | 0.00% | 3 | 1 |
+| 417 | literate-agda | 0.00% | 3 | 1 |
+| 418 | igor-pro | 0.00% | 3 | 1 |
+| 419 | unrealscript | 0.00% | 3 | 1 |
+| 420 | pure-data | 0.00% | 3 | 1 |
+| 421 | blitzmax | 0.00% | 3 | 1 |
+| 422 | sage | 0.00% | 3 | 1 |
+| 423 | module-management-system | 0.00% | 3 | 1 |
+| 424 | scaml | 0.00% | 3 | 1 |
+| 425 | netlinx | 0.00% | 3 | 1 |
+| 426 | abap | 0.00% | 3 | 1 |
+| 427 | xpages | 0.00% | 3 | 1 |
+| 428 | propeller-spin | 0.00% | 3 | 1 |
+| 429 | sas | 0.00% | 3 | 1 |
+| 430 | ArithmeLogic | 0.00% | 2 | 1 |
+| 431 | clean | 0.00% | 2 | 1 |
+| 432 | harbour | 0.00% | 2 | 1 |
+| 433 | mathematica | 0.00% | 2 | 1 |
+| 434 | jflex | 0.00% | 2 | 1 |
+| 435 | red | 0.00% | 2 | 1 |
+```
 # Citations
 ```