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Here we present the dataset for "Toward Accurate Interpretable Predictions of Materials Properties within Transformer Language Models" (arXiv:2303.12188). The dataset_annotated.json file is organized as follows: { "JARVIS-DFT id": { "text": "text description of material generated within the Robocrystallographer library", "tokens": "sequence of tokens generated by the MatBERT tokenizer", "rationales": "rationales proposed by a domain expert", "label": "label predicted by the MatBERT model", }, ...: ..., }
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 3 |

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