| --- |
| dataset_info: |
| features: |
| - name: query |
| dtype: string |
| - name: image |
| dtype: 'null' |
| - name: annot |
| list: string |
| - name: reasoning |
| dtype: 'null' |
| - name: cate |
| dtype: string |
| - name: task |
| dtype: string |
| - name: metadata |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 391474 |
| num_examples: 680 |
| - name: val |
| num_bytes: 134494 |
| num_examples: 234 |
| - name: test |
| num_bytes: 128615 |
| num_examples: 224 |
| download_size: 239714 |
| dataset_size: 654583 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: val |
| path: data/val-* |
| - split: test |
| path: data/test-* |
| extra_gated_prompt: This dataset is released for **research use**. Access is reviewed |
| and granted **manually** by the maintainers. Please state your name, affiliation, |
| and intended use. |
| tags: |
| - smart-manufacturing |
| - sft |
| - industrial |
| license: other |
| pretty_name: EMB-D29 |
| extra_gated_fields: |
| Name: text |
| Affiliation: text |
| Intended use: text |
| --- |
| # 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 |
|
|
| ```python |
| 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. |
|
|
