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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-generation |
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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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- ks |
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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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- sd |
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- ta |
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- te |
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- ur |
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tags: |
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- language-modeling |
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- casual-lm |
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- llm |
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pretty_name: sangraha |
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dataset_info: |
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- config_name: verified |
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features: |
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- name: doc_id |
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dtype: string |
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- name: type |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: asm |
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- name: ben |
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- name: brx |
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- name: doi |
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- name: eng |
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- name: gom |
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- name: guj |
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- name: hin |
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- name: kan |
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- name: kas |
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- name: mai |
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- name: mal |
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- name: mar |
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- name: mni |
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- name: nep |
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- name: ori |
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- name: pan |
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- name: san |
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- name: sat |
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- name: snd |
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- name: tam |
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- name: tel |
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- name: urd |
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- config_name: unverified |
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features: |
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- name: doc_id |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: asm |
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- name: ben |
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- name: guj |
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- name: hin |
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- name: kan |
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- name: mal |
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- name: mar |
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- name: nep |
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- name: ori |
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- name: pan |
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- name: san |
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- name: tam |
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- name: tel |
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- name: urd |
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- config_name: synthetic |
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features: |
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- name: doc_id |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: asm_Beng |
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- name: asm_Latn |
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- name: ben_Beng |
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- name: ben_Latn |
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- name: guj_Gujr |
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- name: guj_Latn |
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- name: hin_Deva |
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- name: hin_Latn |
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- name: kan_Knda |
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- name: kan_Latn |
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- name: mal_Mlym |
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- name: mal_Latn |
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- name: mar_Deva |
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- name: mar_Latn |
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- name: npi_Deva |
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- name: npi_Latn |
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- name: ory_Orya |
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- name: ory_Latn |
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- name: pan_Guru |
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- name: pan_Latn |
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- name: san_Deva |
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- name: san_Latn |
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- name: tam_Taml |
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- name: tam_Latn |
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- name: tel_Telu |
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- name: tel_Latn |
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- name: urd_Arab |
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- name: urd_Latn |
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configs: |
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- config_name: verified |
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data_files: |
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- split: asm |
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path: verified/asm/*.parquet |
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- split: ben |
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path: verified/ben/*.parquet |
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- split: brx |
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path: verified/brx/*.parquet |
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- split: doi |
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path: verified/doi/*.parquet |
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- split: eng |
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path: verified/eng/*.parquet |
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- split: gom |
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path: verified/gom/*.parquet |
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- split: guj |
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path: verified/guj/*.parquet |
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- split: hin |
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path: verified/hin/*.parquet |
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- split: kan |
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path: verified/kan/*.parquet |
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- split: kas |
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path: verified/kas/*.parquet |
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- split: mai |
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path: verified/mai/*.parquet |
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- split: mal |
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path: verified/mal/*.parquet |
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- split: mar |
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path: verified/mar/*.parquet |
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- split: mni |
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path: verified/mni/*.parquet |
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- split: nep |
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path: verified/nep/*.parquet |
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- split: ori |
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path: verified/ori/*.parquet |
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- split: pan |
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path: verified/pan/*.parquet |
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- split: san |
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path: verified/san/*.parquet |
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- split: sat |
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path: verified/sat/*.parquet |
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- split: snd |
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path: verified/snd/*.parquet |
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- split: tam |
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path: verified/tam/*.parquet |
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- split: tel |
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path: verified/tel/*.parquet |
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- split: urd |
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path: verified/urd/*.parquet |
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- config_name: unverified |
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data_files: |
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- split: asm |
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path: unverified/asm/*.parquet |
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- split: ben |
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path: unverified/ben/*.parquet |
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- split: guj |
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path: unverified/guj/*.parquet |
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- split: hin |
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path: unverified/hin/*.parquet |
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- split: kan |
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path: unverified/kan/*.parquet |
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- split: mal |
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path: unverified/mal/*.parquet |
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- split: mar |
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path: unverified/mar/*.parquet |
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- split: nep |
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path: unverified/nep/*.parquet |
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- split: ori |
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path: unverified/ori/*.parquet |
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- split: pan |
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path: unverified/pan/*.parquet |
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- split: san |
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path: unverified/san/*.parquet |
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- split: tam |
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path: unverified/tam/*.parquet |
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- split: tel |
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path: unverified/tel/*.parquet |
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- split: urd |
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path: unverified/urd/*.parquet |
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- config_name: synthetic |
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data_files: |
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- split: asm_Beng |
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path: synthetic/asm_Beng/*.parquet |
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- split: asm_Latn |
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path: synthetic/asm_Latn/*.parquet |
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- split: ben_Beng |
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path: synthetic/ben_Beng/*.parquet |
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- split: ben_Latn |
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path: synthetic/ben_Latn/*.parquet |
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- split: guj_Gujr |
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path: synthetic/guj_Gujr/*.parquet |
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- split: guj_Latn |
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path: synthetic/guj_Latn/*.parquet |
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- split: hin_Deva |
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path: synthetic/hin_Deva/*.parquet |
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- split: hin_Latn |
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path: synthetic/hin_Latn/*.parquet |
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- split: kan_Knda |
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path: synthetic/kan_Knda/*.parquet |
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- split: kan_Latn |
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path: synthetic/kan_Latn/*.parquet |
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- split: mal_Mlym |
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path: synthetic/mal_Mlym/*.parquet |
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- split: mal_Latn |
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path: synthetic/mal_Latn/*.parquet |
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- split: mar_Deva |
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path: synthetic/mar_Deva/*.parquet |
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- split: mar_Latn |
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path: synthetic/mar_Latn/*.parquet |
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- split: npi_Deva |
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path: synthetic/npi_Deva/*.parquet |
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- split: npi_Latn |
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path: synthetic/npi_Latn/*.parquet |
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- split: ory_Orya |
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path: synthetic/ory_Orya/*.parquet |
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- split: ory_Latn |
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path: synthetic/ory_Latn/*.parquet |
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- split: pan_Guru |
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path: synthetic/pan_Guru/*.parquet |
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- split: pan_Latn |
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path: synthetic/pan_Latn/*.parquet |
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- split: san_Deva |
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path: synthetic/san_Deva/*.parquet |
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- split: san_Latn |
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path: synthetic/san_Latn/*.parquet |
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- split: tam_Taml |
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path: synthetic/tam_Taml/*.parquet |
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- split: tam_Latn |
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path: synthetic/tam_Latn/*.parquet |
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- split: tel_Telu |
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path: synthetic/tel_Telu/*.parquet |
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- split: tel_Latn |
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path: synthetic/tel_Latn/*.parquet |
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- split: urd_Arab |
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path: synthetic/urd_Arab/*.parquet |
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- split: urd_Latn |
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path: synthetic/urd_Latn/*.parquet |
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|
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size_categories: |
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- 100B<n<1T |
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--- |
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|
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# Sangraha |
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|
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<p align="center"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63ef3cd11e695b35aa48bebc/nDnyidcqIOLAP9dTw9GrK.png" /> |
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</p> |
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|
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Sangraha is the largest high-quality, cleaned Indic language pretraining data containing 251B tokens summed up over 22 languages, extracted from curated sources, existing multilingual corpora and large scale translations. |
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|
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**Coming Soon**: |
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|
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- Sangraha Synthetic - Translated and Romanised English Wikimedia data. |
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- Sangraha Verified - Hindi YouTube transcribed data. |
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|
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**More information**: |
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|
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- For detailed information on the curation and cleaning process of Sangraha, please checkout our paper [on Arxiv](https://arxiv.org/abs/2403.06350); |
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- Check out the scraping and cleaning pipelines used to curate Sangraha [on GitHub](https://github.com/AI4Bharat/IndicLLMSuite); |
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|
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## Getting Started |
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For downloading the entire Sangraha: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("ai4bharat/sangraha") |
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``` |
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For downloading a subset (Verified/Unverified) of Sangraha: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("ai4bharat/sangraha", data_dir="<subset_name>") |
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# for example: dataset = load_dataset("ai4bharat/sangraha", data_dir="verified") |
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``` |
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For downloading one language from a subset of Sangraha: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("ai4bharat/sangraha", data_dir="<subset_name>/<lang_code>") |
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# for example: dataset = load_dataset("ai4bharat/sangraha", data_dir="verified/asm") |
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``` |
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|
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## Background |
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Sangraha contains three broad components: |
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- **Sangraha Verified**: Containing scraped data from "human-verified" Websites, OCR-extracted data from high quality Indic language PDFs, transcribed data from various Indic language videos, podcasts, movies, courses, etc. |
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- **Sangraha Unverfied**: High quality Indic language data extracted from existing multilingual corpora employing perplexity filtering using n-gram language models trained on Sangraha Verified. |
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- **Sangraha Synthetic**: WikiMedia English translated to 14 Indic languages and further "romanised" from 14 languages by transliteration to English. |
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## Data Statistics |
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| **Lang Code** | **Verified** | **Synthetic** | **Unverified** | **Total Tokens (in Millions)** | |
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| ------------- | ------------ | ------------- | -------------- | ------------------------------ | |
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| asm | 292.1 | 11,696.4 | 17.5 | 12,006.0 | |
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| ben | 10,604.4 | 13,814.1 | 5,608.8 | 30,027.5 | |
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| brx | 1.5 | - | - | 1.5 | |
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| doi | 0.06 | - | - | 0.06 | |
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| eng | 12,759.9 | - | - | 12,759.9 | |
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| gom | 10.1 | - | - | 10.1 | |
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| guj | 3,647.9 | 12,934.5 | 597.0 | 17,179.4 | |
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| hin | 12,617.3 | 9,578.7 | 12,348.3 | 34,544.3 | |
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| kan | 1,778.3 | 12,087.4 | 388.8 | 14,254.5 | |
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| kas | 0.5 | - | - | 0.5 | |
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| mai | 14.6 | - | - | 14.6 | |
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| mal | 2,730.8 | 13,130.0 | 547.8 | 16,408.6 | |
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| mar | 2,827.0 | 10,816.7 | 652.1 | 14,295.8 | |
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| mni | 7.4 | - | - | 7.4 | |
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| npi | 1,822.5 | 10,588.7 | 485.5 | 12,896.7 | |
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| ori | 1,177.1 | 11,338.0 | 23.7 | 12,538.8 | |
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| pan | 1,075.3 | 9,969.6 | 136.9 | 11,181.8 | |
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| san | 1,329.0 | 13,553.5 | 9.8 | 14,892.3 | |
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| sat | 0.3 | - | - | 0.3 | |
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| snd | 258.2 | - | - | 258.2 | |
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| tam | 3,985.1 | 11,859.3 | 1,515.9 | 17,360.3 | |
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| urd | 3,658.1 | 9,415.8 | 1,328.2 | 14,402.1 | |
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| tel | 3,706.8 | 11,924.5 | 647.4 | 16,278.7 | |
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| **Total** | **64,306.1** | **162,707.9** | **24,307.7** | **251,321.0** | |
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|
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To cite Sangraha, please use: |
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|
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``` |
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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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|
