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EMB-D29
ISO-knowledge retrieval tasks (query → relevant set) in the unified SFT schema. Category A (knowledge), task T-A2.
The repository name is an internal code. See Provenance below for the underlying dataset.
Records
1,138 records with real train / val / test splits (680 / 234 / 224); each record's metadata.split matches its split. Deterministic, LLM-free rebuild of the official task-construction pipeline (fixed seed = 42).
Unified SFT schema (7 fields)
| field | type | meaning |
|---|---|---|
query |
str | the question / query / instruction |
image |
Image | null | always null in this dataset |
annot |
str | list[str] | label / answer / annotation |
reasoning |
str | null | native reasoning / CoT; null when the source has none |
cate |
"A".."E" | one of the five SFT categories (this dataset: A) |
task |
"T-xx" | unified task id (this dataset: T-A2) |
metadata |
str (JSON) | all other info; carries a "split" key when the source has train/val/test |
Load
from datasets import load_dataset
ds = load_dataset("AI4Manufacturing/EMB-D29")["train"]
Gated — request access on the dataset page; access is granted manually by the maintainers.
Provenance & license
This dataset is a reformatted derivative (unified SFT schema) of:
Embedding Models monorepo (IBM Research; shares the FailureSensorIQ repository).
- Code: https://github.com/IBM/FailureSensorIQ (LLM-Embeddings/)
Refer to the upstream source for the original licensing terms; this reformatted version is shared for research use. Please cite the upstream work.
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