---
pretty_name: SciER
license: gpl-3.0
language:
- en
dataset_info:
- config_name: in_domain
  features:
  - name: input
    dtype: string
  - name: output
    dtype: json
  - name: schema
    dtype: json
- config_name: ood
  features:
  - name: input
    dtype: string
  - name: output
    dtype: json
  - name: schema
    dtype: json
configs:
- config_name: in_domain
  data_files:
  - split: train
    path: data/in_domain/train.jsonl
  - split: validation
    path: data/in_domain/validation.jsonl
  - split: test
    path: data/in_domain/test.jsonl
- config_name: ood
  data_files:
  - split: test
    path: data/ood/test.jsonl
---

# SciER

SciER (named entity recognition and relation extraction), rebuilt for MNEB from the original release with character-level offsets.

**Source:** https://github.com/edzq/SciER (commit db347813, `SciER/PLM/*.jsonl`)

| config | split | records |
| --- | --- | --- |
| in_domain | train | 5575 |
| in_domain | validation | 713 |
| in_domain | test | 854 |
| ood | test | 580 |

## Labels

**entities:** `dataset`, `method`, `task`

**relations:** `part of`, `subclass of`, `subtask of`, `benchmark for`, `trained with`, `evaluated with`, `synonym of`, `used for`, `compare with`

## Format

Each record has `input` (the text), `output` (gold annotations grouped by label) and `schema` (the label set with descriptions). Offsets are character offsets into `input`, half-open `[start, end)`.

```
"output": {
  "entities":  {"<label>": [{"text", "start", "end"}]},
  "relations": {"<label>": [{"head": {"text", "start", "end"},
                             "tail": {"text", "start", "end"}}]},
  "events":    {"<label>": [{"trigger": {"text", "start", "end"},
                             "arguments": [{"role", "text", "start", "end"}]}]}
}
```

Each schema item has a `description` and a `description_source`: `official` when adapted from the dataset's paper or guideline, `mneb` when written for MNEB. Relation datasets also give `setting` (`end_to_end` or `gold_entity`) and `negative_label`; relation items give `symmetric`. Event items list the `roles` valid for that event type.

Within a record, identical annotations are kept once and outer whitespace is trimmed from spans; source annotations are otherwise kept as annotated.

## Notes

- Configs `in_domain` (train/validation/test) and `ood` (test). Sentence level. Not SciERC.
- Descriptions are adapted from the SciER annotation guideline.

## Build

Built by `scripts/datasets/sci_er.py` in the MNEB repository.

## Citation

Zhang et al. (2024), SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents. EMNLP.

License: gpl-3.0