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metadata
language:
- am
- en
task_categories:
- text-generation
- text-classification
- translation
- summarization
- token-classification
pretty_name: Amharic post-training (Walia + multi-turn chat + instruction sets)
size_categories:
- 100K<n<1M
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
amh-post-training
Amharic post-training data: the Walia-LLM instruction dataset plus multi-turn conversations and other native instruction sets, in the
same row format as SaarAI/kin-post-training.
714,181 train / 3,747 validation rows.
Columns
id, source, task, instruction_lang (native for all rows: instructions are already Amharic), instruction, input, output,
messages (chat form; multi-turn for the conversation sources).
Tasks
| task | rows |
|---|---|
| code_chat | 175,045 |
| chat | 152,871 |
| document_translation | 90,360 |
| instruction_following | 63,410 |
| amharic_mt amh-eng | 30,825 |
| amharic_mt eng-amh | 30,676 |
| amharic_mezmur_completion | 17,888 |
| amharic_title_generation | 14,771 |
| afrisent | 11,496 |
| amharic_spellcheck | 10,852 |
| xlsum_summerization | 10,698 |
| xlsum_reverse_summerization | 10,695 |
| masakhaner | 10,244 |
| sentiment_analysis | 10,189 |
| dialogue | 10,000 |
| text_simplification | 9,998 |
| masakhanews | 7,628 |
| question_answering | 7,450 |
| summarization | 7,254 |
| event_linking | 6,586 |
| news_topic_classification | 6,225 |
| amharic_mezmur_generation | 5,039 |
| amharic_poem_completion | 3,776 |
| amharicqa | 2,317 |
| amharic_story_generation | 1,974 |
| roleplay | 1,923 |
| story_choice | 1,713 |
| story_generation | 1,713 |
| amharic_poem_generation | 1,126 |
| generation | 1,106 |
| translation | 1,035 |
| paraphrase_identification | 635 |
| amharic_zefen_completion | 264 |
| amharic_zefen_generation | 116 |
| text_classification | 30 |
Sources
| source key | dataset | note |
|---|---|---|
| walia_* (17 tasks) | EthioNLP/Amharic_Instruction_dataset (train + validation splits) | Walia-LLM SFT data: native Amharic instructions for sentiment, NER, news classification, MT, summarization, spell-check, QA, title/poem/lyrics/story generation |
| multiturn_combined_amh | israel/multiturn_combined (amharic) |
6-turn conversations; only the conversation column is used |
| wikiconversations_amh | israel/WikiConversations (amharic) |
6-turn conversations; only the conversation column is used |
| african_ultrachat_amh | masakhane/african-ultrachat (Amharic train) | multi-turn chat |
| amharic_dolly | israel/AmharicDolly | machine-translated Dolly (instruction + optional context -> response) |
| amharic_alpaca | israel/AmharicAlpaca | machine-translated Alpaca; rows flagged error_suspicion removed |
| amharic_storyqa | israel/AmharicStoryQA_instruction-tuning (amharic) |
story reading-comprehension, multiple choice and generation |
| muller_conversations | Muller01/amharic-conversations | multi-turn chat (system turns dropped) |
| daily_dialog_amh | abdukuzi45/amharic-daily-dialog-cleaned | long multi-turn everyday dialogue |
| kakugo_amh | ptrdvn/kakugo-amh | synthetic chat; English <think> blocks removed; rows that are not Amharic were filtered out |
| code170k_amh | michsethowusu/Code-170k-amharic | machine-translated code Q&A chat |
| addisai_alpaca, addisai_finetome | addisai/FreedomIntelligence-alpaca-amharic, addisai/FineTome-single-turn-dedup-amharic | machine-translated chat (50k sample each) |
| amharic_maternal_health | israel/AmharicMaternalHealth | health conversations; English-only conversations filtered out |
| tadesse_amharic_qa | Tadesse/amharic_qa | context question answering |
| roleplay_amh | jojo-ai-mst/Roleplay-Amharic | translated GPTeacher role-play (Amharic columns) |
| aya_human_amh | Henok/aya_amharic_dataset | human-written Aya instructions |
| addisgpt_amh | AddisGPT/AddisGPT-Amharic-Instruction | verified Amharic instructions |
| amharic_srh_qa | Walelign/Amharic_SRH_Dataset | sexual & reproductive health Q&A (CC-BY-NC) |
| afriinstruct_* | KoseiUemura/AfriInstruct-Data-amh (train) | Aya-style mix; FLORES removed; each sub-source capped at 10k |
| habtew_mt | habtew/english-amharic-translation (40k sample) | en<->am sentence pairs, with Walia's own MT instructions |
| afridocmt_amh | israel/AfriDocMT-instructions | document-level health translation (Amharic as source or target) |
Row counts per source key:
| source | rows |
|---|---|
| code170k_amh | 175,045 |
| afridocmt_amh | 90,360 |
| addisai_alpaca | 49,809 |
| addisai_finetome | 49,641 |
| amharic_alpaca | 46,547 |
| habtew_mt | 39,507 |
| kakugo_amh | 29,045 |
| walia_amharic_mezmur_completion | 17,888 |
| amharic_dolly | 14,991 |
| walia_amharic_title_generation | 14,771 |
| walia_afrisent | 11,496 |
| walia_amharic_mt amh-eng | 10,997 |
| walia_amharic_mt eng-amh | 10,997 |
| walia_amharic_spellcheck | 10,852 |
| walia_xlsum_summerization | 10,698 |
| walia_xlsum_reverse_summerization | 10,695 |
| walia_masakhaner | 10,244 |
| afriinstruct_SODA_inst_T | 10,000 |
| afriinstruct_AfriSenti | 9,999 |
| afriinstruct_Wiki_split_inst_T | 9,998 |
| walia_masakhanews | 7,628 |
| daily_dialog_amh | 6,834 |
| afriinstruct_Xlel_wd_inst_T | 6,586 |
| afriinstruct_MasakhaNEWS | 6,225 |
| afriinstruct_XL_Sum | 5,746 |
| walia_amharic_mezmur_generation | 5,039 |
| muller_conversations | 5,000 |
| african_ultrachat_amh | 4,529 |
| afriinstruct_HotpotQA_T | 3,785 |
| walia_amharic_poem_completion | 3,776 |
| amharic_storyqa | 3,426 |
| multiturn_combined_amh | 3,375 |
| tadesse_amharic_qa | 2,617 |
| walia_amharicqa | 2,317 |
| walia_amharic_story_generation | 1,974 |
| roleplay_amh | 1,923 |
| afriinstruct_NQ_Open_T | 1,830 |
| afriinstruct_CNN_Daily_Mail_T | 1,228 |
| aya_human_amh | 1,192 |
| walia_amharic_poem_generation | 1,126 |
| afriinstruct_MAFAND | 1,035 |
| amharic_maternal_health | 1,011 |
| wikiconversations_amh | 1,010 |
| amharic_srh_qa | 991 |
| afriinstruct_Flan_CoT_submix_T | 916 |
| addisgpt_amh | 680 |
| afriinstruct_PAWS_Wiki_T | 635 |
| afriinstruct_Flan_GEM_wiki_lingua_T | 280 |
| walia_amharic_zefen_completion | 264 |
| afriinstruct_MLQA_en_T | 250 |
| afriinstruct_Mintaka_inst_T | 200 |
| afriinstruct_AfriSenti_inst | 190 |
| afriinstruct_PIQA_T | 170 |
| afriinstruct_Dolly_v2_T | 140 |
| afriinstruct_Adversarial_QA_T | 120 |
| walia_amharic_zefen_generation | 116 |
| afriinstruct_Flan_Coqa_T | 70 |
| afriinstruct_Flan_lambada_T | 50 |
| afriinstruct_WIKI_QA_T | 34 |
| afriinstruct_MasakhaNEWS_inst | 30 |
Known limitations (please read)
- Walia's English-script instructions are mixed in only where Walia itself has them (e.g.
amharic_mtuses "English" inside Amharic instructions). No new templates were written for this dataset; Walia's own instructions are used as-is. amharic_alpacaandamharic_dollyare machine-translated and may contain translation errors.amharic_mt amh-engoutputs are English.- Chat conversations with a decoding-collapse (a word repeated over and over) were removed from the chat sources (331 UltraChat conversations). The same check was not applied to lyrics/poems because they repeat on purpose; a small number of lyrics rows are still repetitive.
- Chat sources were also filtered for non-Amharic rows: conversations with a literal "None" answer, or with almost no Ethiopic script
(except code chat), were dropped. This removed about a fifth of
kakugo_amhand about 40% ofamharic_maternal_health(English answers). Counts are instats.jsonin the build output; the filter is a script-share heuristic, not a language-ID model. - Not used on purpose:
israel/AmharicMT(web-crawl pairs with hallucinated translations), FLORES-derived data (benchmark) and the test/validation splits of source datasets.afriinstruct_*is a mix of the same upstream corpora as parts of Walia (AfriSenti, MasakhaNEWS, XL-Sum), so some content overlaps; exact duplicates were removed but paraphrased overlap may remain. afridocmt_amhandhabtew_mtare sentence/document translation pairs of mixed quality (religious and web text);habtew_mtoutputs foramh-engare English.amharic_srh_qais CC-BY-NC-4.0, so the dataset as a whole should not be used commercially without removing it.- 7,379 exact duplicate rows were removed in the Walia/Alpaca/Dolly part; near-duplicates and overlap between sources may remain.
- The Walia test split was not used, so it can still serve as an evaluation set. The Walia validation split was used as training data;
validationhere is a random per-task 0.5% holdout of everything. - Some source repos are private, so this repo should stay private unless their licenses and owners allow release. Licenses differ per source (Alpaca- and Dolly-derived data carry their upstream terms); check each before commercial use.