---
dataset_info:
- config_name: default
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: document_text
    dtype: string
  - name: acid
    dtype: string
  splits:
  - name: train
    num_bytes: 3902798162
    num_examples: 100000
  - name: validation
    num_bytes: 77013209
    num_examples: 1968
  - name: test
    num_bytes: 288050960
    num_examples: 7830
  download_size: 2465211077
  dataset_size: 4267862331
- config_name: nq-100-tokenized
  features:
  - name: input_ids
    sequence: int32
  - name: attention_mask
    sequence: int8
  - name: labels
    sequence: int64
  splits:
  - name: train
    num_bytes: 1315687778
    num_examples: 1556605
  - name: validation
    num_bytes: 1191406
    num_examples: 1968
  - name: test
    num_bytes: 4743398
    num_examples: 7830
  download_size: 121309967
  dataset_size: 1321622582
- config_name: nq-100k-raw
  features:
  - name: id
    dtype: int64
  - name: BM25_keywords
    sequence: string
  - name: query
    dtype: string
  - name: document_text
    dtype: string
  splits:
  - name: train
    num_bytes: 3918423056
    num_examples: 100000
  - name: validation
    num_bytes: 77322775
    num_examples: 1968
  - name: test
    num_bytes: 289276447
    num_examples: 7830
  download_size: 2277058620
  dataset_size: 4285022278
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
- config_name: nq-100-tokenized
  data_files:
  - split: train
    path: nq-100-tokenized/train-*
  - split: validation
    path: nq-100-tokenized/validation-*
  - split: test
    path: nq-100-tokenized/test-*
- config_name: nq-100k-raw
  data_files:
  - split: train
    path: nq-100k-raw/train-*
  - split: validation
    path: nq-100k-raw/validation-*
  - split: test
    path: nq-100k-raw/test-*
---
# Abstractive Content-Based Document IDs for Generative Retrieval

Dataset for [Summarization-Based Document IDs for Generative Retrieval with Language Models](https://arxiv.org/abs/2311.08593).

## Update
**[03/04/2025]** Upload validation and test set of ACID. Add tokenized subset.

```
@misc{li2024summarizationbaseddocumentidsgenerative,
      title={Summarization-Based Document IDs for Generative Retrieval with Language Models}, 
      author={Haoxin Li and Daniel Cheng and Phillip Keung and Jungo Kasai and Noah A. Smith},
      year={2024},
      eprint={2311.08593},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2311.08593}, 
}
```