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NeurIPS 2026 D&B Submission 2188 (jsonl version)
Question-answering benchmark and FLAN-style training dataset for Ancient
Egyptian. This repository is the JSONL-formatted version of this dataset,
intended for use with training scripts that read train.jsonl /
test.jsonl directly. A companion repository hosts the same content in
parquet for HF auto-loading and easy browsing. Records are identical
between the two.
Files
data/
├── train.jsonl # 6,164,024 records, ~5.7 GB
└── test.jsonl # 565,672 records, ~524 MB
One JSON object per line, UTF-8.
Splits
| split | free_form_qa | flan_style | total |
|---|---|---|---|
| train | 42,804 | 6,121,220 | 6,164,024 |
| test | 5,664 | 560,008 | 565,672 |
Test set carries 374 expert-anchor records authored by Egyptologists
(meta.real_anchor = true); the rest is synthetic.
Record schema
{
"id": "...", // unique
"skill": "text_translit_clean__qa", // atomic skill name
"part": "free_form_qa", // "free_form_qa" or "flan_style"
"instruction": "...", // prompt shown to the model
"input": "", // usually empty
"output": "...", // gold answer
"meta": {
"text_id": "...",
"subcorpus": "...",
"split": "test", // matches the file
"epoch": "Middle Kingdom",
"year_start": -2055,
"year_end": -1650,
"template_id": "...",
"raw_input": "...",
"pillar": "semantic",
"metrics_group": "M7",
"task_name": "...",
// task-specific extras: qa_idx, sentence_id, word_idx, ...
// expert-anchor only: real_anchor, expert_source_file, image_code,
// stela_name, q_num
}
}
part = "free_form_qa" if skill ends in __qa, else "flan_style".
License
CC BY-SA 4.0. Source corpus is the Thesaurus Linguae Aegyptiae (thesaurus-linguae-aegyptiae.de), CC BY-SA 4.0 upstream.
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