Iman998 commited on
Commit
43d0573
·
verified ·
1 Parent(s): f5a70de

Polish dataset card and add centered project artwork

Browse files
Files changed (2) hide show
  1. README.md +21 -15
  2. assets/data.png +3 -0
README.md CHANGED
@@ -86,7 +86,13 @@ configs:
86
  </div>
87
  </div>
88
 
89
- ![Bactrainus modular architecture](architecture.svg)
 
 
 
 
 
 
90
 
91
  ## At a glance
92
 
@@ -112,6 +118,7 @@ dataset = load_dataset(
112
  "bactrianus/bactrainus-hotpotqa",
113
  "cot-reader-sft",
114
  split="train",
 
115
  )
116
 
117
  print(dataset.num_rows) # 90447
@@ -119,14 +126,14 @@ print(dataset[0]["source_id"])
119
  print(dataset[0]["messages"])
120
  ```
121
 
122
- For a reproducible experiment, pin the dataset commit:
123
 
124
  ```python
125
  dataset = load_dataset(
126
  "bactrianus/bactrainus-hotpotqa",
127
  "structured",
128
  split="train",
129
- revision="7f3a1d4d21f22aad7262d8ffd6520f31186b284d",
130
  )
131
  ```
132
 
@@ -268,10 +275,16 @@ The IDs make it straightforward to combine configurations without fuzzy joins:
268
 
269
  ```python
270
  reader = load_dataset(
271
- "bactrianus/bactrainus-hotpotqa", "reader-sft", split="train"
 
 
 
272
  )
273
  decomposer = load_dataset(
274
- "bactrianus/bactrainus-hotpotqa", "question-decomposer-sft", split="train"
 
 
 
275
  )
276
 
277
  assert set(reader["source_id"]) == set(decomposer["source_id"])
@@ -304,7 +317,9 @@ attribution and use a compatible ShareAlike license. See
304
 
305
  ## Citation
306
 
307
- If you use this training suite, cite both Bactrainus and HotpotQA:
 
 
308
 
309
  ```bibtex
310
  @article{barati2025bactrainus,
@@ -314,15 +329,6 @@ If you use this training suite, cite both Bactrainus and HotpotQA:
314
  year = {2025},
315
  url = {https://arxiv.org/abs/2501.06286}
316
  }
317
-
318
- @inproceedings{yang2018hotpotqa,
319
- title = {{HotpotQA}: A Dataset for Diverse, Explainable Multi-hop Question Answering},
320
- author = {Yang, Zhilin and Qi, Peng and Zhang, Saizheng and Bengio, Yoshua and Cohen, William W. and Salakhutdinov, Ruslan and Manning, Christopher D.},
321
- booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
322
- year = {2018},
323
- pages = {2369--2380},
324
- doi = {10.18653/v1/D18-1259}
325
- }
326
  ```
327
 
328
  ## Links
 
86
  </div>
87
  </div>
88
 
89
+ <p align="center">
90
+ <img src="assets/data.png" alt="Bactrainus HotpotQA training-data artwork" width="760">
91
+ </p>
92
+
93
+ <p align="center">
94
+ <img src="architecture.svg" alt="Bactrainus modular architecture" width="960">
95
+ </p>
96
 
97
  ## At a glance
98
 
 
118
  "bactrianus/bactrainus-hotpotqa",
119
  "cot-reader-sft",
120
  split="train",
121
+ revision="v1.0.0",
122
  )
123
 
124
  print(dataset.num_rows) # 90447
 
126
  print(dataset[0]["messages"])
127
  ```
128
 
129
+ For a reproducible experiment, pin the immutable release tag:
130
 
131
  ```python
132
  dataset = load_dataset(
133
  "bactrianus/bactrainus-hotpotqa",
134
  "structured",
135
  split="train",
136
+ revision="v1.0.0",
137
  )
138
  ```
139
 
 
275
 
276
  ```python
277
  reader = load_dataset(
278
+ "bactrianus/bactrainus-hotpotqa",
279
+ "reader-sft",
280
+ split="train",
281
+ revision="v1.0.0",
282
  )
283
  decomposer = load_dataset(
284
+ "bactrianus/bactrainus-hotpotqa",
285
+ "question-decomposer-sft",
286
+ split="train",
287
+ revision="v1.0.0",
288
  )
289
 
290
  assert set(reader["source_id"]) == set(decomposer["source_id"])
 
317
 
318
  ## Citation
319
 
320
+ If you use this training suite, cite the Bactrainus article. Retain the
321
+ upstream HotpotQA attribution described in [`ATTRIBUTION.md`](ATTRIBUTION.md)
322
+ when redistributing or adapting the data.
323
 
324
  ```bibtex
325
  @article{barati2025bactrainus,
 
329
  year = {2025},
330
  url = {https://arxiv.org/abs/2501.06286}
331
  }
 
 
 
 
 
 
 
 
 
332
  ```
333
 
334
  ## Links
assets/data.png ADDED

Git LFS Details

  • SHA256: fcf548f7ac33881cdfeae7bc53e0efa33e65650b418f3a5e8ec2094e10f5a90c
  • Pointer size: 132 Bytes
  • Size of remote file: 2.89 MB