KILT: a Benchmark for Knowledge Intensive Language Tasks
Challenging problems such as open-domain question answering, fact checking, slot filling and entity linking require access to large, external knowledge sources. While some models do well on individual tasks, developing general models is difficult as each task might require computationally expensive indexing of custom knowledge sources, in addition to dedicated infrastructure. To catalyze research on models that condition on specific information in large textual resources, we present a benchmark for knowledge-intensive language tasks (KILT). All tasks in KILT are grounded in the same snapshot of Wikipedia, reducing engineering turnaround through the re-use of components, as well as accelerating research into task-agnostic memory architectures. We test both task-specific and general baselines, evaluating downstream performance in addition to the ability of the models to provide provenance. We find that a shared dense vector index coupled with a seq2seq model is a strong baseline, outperforming more tailor-made approaches for fact checking, open-domain question answering and dialogue, and yielding competitive results on entity linking and slot filling, by generating disambiguated text. KILT data and code are available at https://github.com/facebookresearch/KILT.
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Datasets
Introduced in the Paper:
KILT
Used in the Paper:
Natural Questions
TriviaQA
HotpotQA
FEVER
Wizard of Wikipedia
ELI5
T-REx
AIDA CoNLL-YAGO
| Task | Dataset | Model | Metric Name | Metric Value | Global Rank | Benchmark |
|---|---|---|---|---|---|---|
| Entity Linking | KILT: AIDA-YAGO2 | T5-base | KILT-AC | 74.05 | # 5 | |
| R-Prec | 74.05 | # 6 | ||||
| Recall@5 | 74.05 | # 7 | ||||
| Accuracy | 74.05 | # 6 | ||||
| Question Answering | KILT: ELI5 | RAG | Rouge-L | 14.05 | # 7 | |
| F1 | 14.51 | # 6 | ||||
| Question Answering | KILT: ELI5 | BART+DPR | Rouge-L | 17.41 | # 6 | |
| F1 | 17.88 | # 4 | ||||
| Question Answering | KILT: ELI5 | T5-base | Rouge-L | 19.08 | # 5 | |
| F1 | 16.1 | # 5 | ||||
| Open-Domain Question Answering | KILT: ELI5 | T5-base | KILT-RL | 0.0 | # 6 | |
| R-Prec | 0.0 | # 10 | ||||
| Recall@5 | 0.0 | # 10 | ||||
| ROUGE-L | 19.08 | # 4 | ||||
| F1 | 16.1 | # 8 | ||||
| KILT-F1 | 0.0 | # 6 | ||||
| Fact Verification | KILT: FEVER | T5-base | KILT-AC | 0.0 | # 10 | |
| R-Prec | 0.0 | # 14 | ||||
| Recall@5 | 0.0 | # 14 | ||||
| Accuracy | 76.3 | # 11 | ||||
| Fact Verification | KILT: FEVER | RAG | KILT-AC | 53.45 | # 7 | |
| R-Prec | 61.94 | # 11 | ||||
| Recall@5 | 75.55 | # 10 | ||||
| Accuracy | 86.31 | # 8 | ||||
| Open-Domain Question Answering | KILT: HotpotQA | T5-base | KILT-EM | 0.0 | # 7 | |
| R-Prec | 0.0 | # 11 | ||||
| Recall@5 | 0.0 | # 11 | ||||
| EM | 12.64 | # 8 | ||||
| F1 | 19.57 | # 8 | ||||
| KILT-F1 | 0.0 | # 7 | ||||
| Open-Domain Question Answering | KILT: Natural Questions | T5-base | KILT-EM | 0.0 | # 9 | |
| R-Prec | 0.0 | # 13 | ||||
| Recall@5 | 0.0 | # 13 | ||||
| EM | 19.6 | # 11 | ||||
| F1 | 27.73 | # 11 | ||||
| KILT-F1 | 0.0 | # 9 | ||||
| Slot Filling | KILT: T-REx | T5-base | KILT-AC | 0.0 | # 13 | |
| R-Prec | 0.0 | # 16 | ||||
| Recall@5 | 0.0 | # 16 | ||||
| Accuracy | 43.56 | # 14 | ||||
| F1 | 50.61 | # 13 | ||||
| KILT-F1 | 0.0 | # 13 | ||||
| Open-Domain Question Answering | KILT: TriviaQA | T5-base | KILT-EM | 0.0 | # 9 | |
| R-Prec | 0.0 | # 13 | ||||
| Recall@5 | 0.0 | # 13 | ||||
| EM | 18.11 | # 11 | ||||
| F1 | 27.83 | # 11 | ||||
| KILT-F1 | 0.0 | # 9 | ||||
| Open-Domain Dialog | KILT: Wizard of Wikipedia | T5-base | KILT-RL | 0.0 | # 12 | |
| R-Prec | 0.0 | # 16 | ||||
| Recall@5 | 0.0 | # 16 | ||||
| ROUGE-L | 12.4 | # 12 | ||||
| F1 | 13.53 | # 12 | ||||
| KILT-F1 | 0.0 | # 12 | ||||
| Entity Linking | KILT: WNED-CWEB | T5-base | KILT-AC | 49.29 | # 3 | |
| R-Prec | 49.29 | # 4 | ||||
| Recall@5 | 49.29 | # 5 | ||||
| Accuracy | 49.29 | # 3 | ||||
| Entity Linking | KILT: WNED-WIKI | T5-base | KILT-AC | 47.13 | # 4 | |
| R-Prec | 47.13 | # 6 | ||||
| Recall@5 | 47.13 | # 6 | ||||
| Accuracy | 47.13 | # 4 | ||||
| Slot Filling | KILT: Zero Shot RE | T5-base | KILT-AC | 0.0 | # 13 | |
| R-Prec | 0.0 | # 17 | ||||
| Recall@5 | 0.0 | # 17 | ||||
| Accuracy | 9.02 | # 15 | ||||
| F1 | 13.52 | # 15 | ||||
| KILT-F1 | 0.0 | # 14 |
