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CharuAgarwal
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indic-align

Tasks:
Text Generation
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Formats:
parquet
Languages:
Assamese
Bengali
Gujarati
Size:
10M - 100M
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CharuAgarwal safikhan commited on
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Duplicate from ai4bharat/indic-align

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Co-authored-by: Mohammed Safi Ur Rahman Khan <safikhan@users.noreply.huggingface.co>

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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.wasm filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ indicalign-instruct filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ pretty_name: indic-align
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+ language:
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+ - as
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+ - bn
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+ - gu
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+ - en
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+ - hi
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+ - kn
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+ - ml
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+ - mr
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+ - ne
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+ - or
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+ - pa
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+ - sa
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+ - ta
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+ - te
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+ - ur
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+ task_categories:
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+ - text-generation
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+ dataset_info:
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+ - config_name: Indic_ShareLlama
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+ - config_name: Dolly_T
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+ - config_name: OpenAssistant_T
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+ - config_name: WikiHow
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+ - config_name: IndoWordNet
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+ - config_name: Anudesh
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+ - config_name: Wiki_Conv
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+ - config_name: Wiki_Chat
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+ - config_name: IndicAlign-Toxic
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+ - config_name: HHRLHF_T
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+ - config_name: Toxic_Matrix
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+ configs:
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+ - config_name: Indic_ShareLlama
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+ data_files: indicalign-instruct/indicsharellama/*
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+ - config_name: Dolly_T
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+ data_files: indicalign-instruct/dolly/*
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+ - config_name: OpenAssistant_T
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+ data_files: indicalign-instruct/oasst/*
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+ - config_name: WikiHow
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+ data_files: indicalign-instruct/wikihow/*
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+ - config_name: IndoWordNet
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+ data_files: indicalign-instruct/indowordnet/*
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+ - config_name: Anudesh
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+ data_files: indicalign-instruct/anudesh/*
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+ - config_name: Wiki_Conv
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+ data_files: indicalign-instruct/wiki_conv/*
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+ - config_name: Wiki_Chat
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+ data_files: indicalign-instruct/wiki_chat/*
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+ - config_name: HHRLHF_T
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+ data_files: indicalign-toxic/hhrlhf/*
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+ - config_name: Toxic_Matrix
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+ data_files: indicalign-toxic/toxicmatrix/*
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+ size_categories:
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+ - 100M<n<1B
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+ ---
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+
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+ # IndicAlign
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+
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+ A diverse collection of Instruction and Toxic alignment datasets for 14 Indic Languages. The collection comprises of:
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+ - **IndicAlign - Instruct**
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+ - Indic-ShareLlama
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+ - Dolly-T
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+ - OpenAssistant-T
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+ - WikiHow
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+ - IndoWordNet
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+ - Anudesh
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+ - Wiki-Conv
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+ - Wiki-Chat
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+ - **IndicAlign - Toxic**
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+ - HHRLHF-T
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+ - Toxic-Matrix
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+
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+ We use IndicTrans2 ([Gala et al., 2023](https://openreview.net/forum?id=vfT4YuzAYA)) for the translation of the datasets.
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+ We recommend the readers to check out our paper [on Arxiv](https://arxiv.org/abs/2403.06350) for detailed information on the curation process of these collections.
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+
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+ ## Dataset Summaries
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+
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+ **IndicShareLlama**- Collection of first user prompts from [ShareGPT](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered) along with responses from [Llama2-70B-Chat](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) model.
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+
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+ **Dolly-T**- Translated and Romanised version of [Dolly-15K](https://huggingface.co/datasets/databricks/databricks-dolly-15k)
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+
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+ **OpenAssistant-T**- Translated and Romanised version of [OpenAssistant v1](https://huggingface.co/datasets/OpenAssistant/oasst1)
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+
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+ **WikiHow** - Translated and Romanised version of [WikiHow](https://huggingface.co/datasets/ai4bharat/indic-instruct-data-v0.1)
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+
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+ **IndoWordNet**- Novel dataset created by converting the entried of [IndoWordNet](https://pypi.org/project/pyiwn/) to Instruction-Response pairs in 18 Indic languages.
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+
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+ **Anudesh**- A crowd-sourced collection of prompts accompanied by responses generated from the Llama2-70B-Chat model.
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+
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+ **Wiki-Conv**- Collection of short, to-the-point conversations on Wikipedia passages and Wiki-Infoboxes created using Llama2-70B-Chat model.
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+
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+ **Wiki-Chat**- Collection of long, open conversations on Wikipedia passages, created by simulating conversations between a User and an Assistant models.
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+
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+ **HHRLHF-T**- Collection of "toxic" prompts from [Anthropic HH-RLHF](https://huggingface.co/datasets/Anthropic/hh-rlhf) with refusals from Llama2-70B-Chat model.
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+
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+ **Toxic-Matrix**- A novel "synthetic" dataset with toxic prompts generated using [Mistral-7B Instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) and non-toxic responses/refusals using Llama2-70B-Chat model.
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+
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+
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+ ## Dataset Statistics
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+
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+ | Component | #Examples | Avg. Turns | Avg. Inst. Len | Avg. Out. Len |
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+ |-------------------|-----------|------------|----------------|---------------|
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+ | Indic ShareLlama | 21.1k | 1 | 60.45 | 267.98 |
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+ | Dolly-T | 15.0k | 1 | 12.34 | 59.38 |
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+ | OpenAssistant-T | 19.9k | 2.98 | 25.72 | 136.37 |
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+ | WikiHow | 20.3k | 1 | 43.85 | 327.95 |
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+ | IndoWordNet | 74,272.2k | 1 | 19.74 | 14.84 |
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+ | Anudesh | 36.8k | 1.58 | 12.4 | 149.28 |
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+ | Wiki-Conv | 144k | 9.14 | 7.09 | 11.22 |
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+ | Wiki-Chat | 202k | 2.8 | 23 | 227.75 |
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+ | HH-RLHF-T | 32.6k | 1 | 14.11 | 64.88 |
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+ | Toxic Matrix | 90.3k | 1 | 33.68 | 89.64 |
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+
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+
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{khan2024indicllmsuite,
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+ title = {IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages},
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+ author = {Mohammed Safi Ur Rahman Khan and Priyam Mehta and Ananth Sankar and Umashankar Kumaravelan and Sumanth Doddapaneni and Suriyaprasaad G and Varun Balan G and Sparsh Jain and Anoop Kunchukuttan and Pratyush Kumar and Raj Dabre and Mitesh M. Khapra},
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+ year = {2024},
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+ journal = {arXiv preprint arXiv: 2403.06350}
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+ }
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+ ```
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