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@@ -57,3 +57,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+corpus_linearized.jsonl filter=lfs diff=lfs merge=lfs -text
+corpus_md.jsonl filter=lfs diff=lfs merge=lfs -text
+corpus_structure.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,170 @@
----
-license: apache-2.0
----
+---
+annotations_creators:
+  - derived
+language:
+  - eng
+license: cc-by-4.0
+multilinguality: monolingual
+task_categories:
+  - text-retrieval
+task_ids:
+  - document-retrieval
+tags:
+  - table-retrieval
+  - text
+pretty_name: OTT-QA
+config_names:
+  - default
+  - queries
+  - corpus_linearized
+  - corpus_md
+  - corpus_structure
+
+dataset_info:
+  - config_name: default
+    features:
+      - name: qid
+        dtype: string
+      - name: did
+        dtype: string
+      - name: score
+        dtype: int32
+    splits:
+      - name: dev
+        num_bytes: 185688
+        num_examples: 2214
+  - config_name: queries
+    features:
+      - name: _id
+        dtype: string
+      - name: text
+        dtype: string
+    splits:
+      - name: dev_queries
+        num_bytes: 336275
+        num_examples: 2214
+  - config_name: corpus_linearized
+    features:
+      - name: _id
+        dtype: string
+      - name: title
+        dtype: string
+      - name: text
+        dtype: string
+    splits:
+      - name: corpus_linearized
+        num_bytes: 19907385
+        num_examples: 8891
+  - config_name: corpus_md
+    features:
+      - name: _id
+        dtype: string
+      - name: title
+        dtype: string
+      - name: text
+        dtype: string
+    splits:
+      - name: corpus_md
+        num_bytes: 22363801
+        num_examples: 8891
+  - config_name: corpus_structure
+    features:
+      - name: _id
+        dtype: string
+      - name: title
+        dtype: string
+      - name: text
+        dtype: string
+      - name: meta_data
+        dtype: string
+      - name: headers
+        sequence: string
+      - name: cells
+        sequence: string
+    splits:
+      - name: corpus_structure
+        num_bytes: 41759044
+        num_examples: 8891
+
+configs:
+  - config_name: default
+    data_files:
+      - split: dev
+        path: dev_qrels.jsonl
+  - config_name: queries
+    data_files:
+      - split: dev_queries
+        path: dev_queries.jsonl
+  - config_name: corpus_linearized
+    data_files:
+      - split: corpus_linearized
+        path: corpus_linearized.jsonl
+  - config_name: corpus_md
+    data_files:
+      - split: corpus_md
+        path: corpus_md.jsonl
+  - config_name: corpus_structure
+    data_files:
+      - split: corpus_structure
+        path: corpus_structure.jsonl
+---
+
+# OTT-QA Retrieval
+
+This dataset is part of a Table + Text retrieval benchmark. Includes queries and relevance judgments across dev split(s), with corpus in 3 format(s): `corpus_linearized`, `corpus_md`, `corpus_structure`.
+
+## Configs
+
+| Config | Description | Split(s) |
+|---|---|---|
+| `default` | Relevance judgments (qrels): `qid`, `did`, `score` | `dev` |
+| `queries` | Query IDs and text | `dev_queries` |
+| `corpus_linearized` | Linearized table representation | `corpus_linearized` |
+| `corpus_md` | Markdown table representation | `corpus_md` |
+| `corpus_structure` | Structured corpus with `headers`, `cells`, `meta_data`. `text` field corresponds to linearized Text + Table. | `corpus_structure` |
+
+## `corpus_structure` additional fields
+
+| Field | Type | Description |
+|---|---|---|
+| `meta_data` | string | Table metadata / caption |
+| `headers` | list[string] | Column headers |
+| `cells` | list[string] | Flattened cell values |
+
+## TableIR Benchmark Statistics
+
+| Dataset | Structured | #Train | #Dev | #Test | #Corpus |
+|---|:---:|---:|---:|---:|---:|
+| OpenWikiTables | ✓ | 53.8k | 6.6k | 6.6k | 24.7k |
+| NQTables | ✓ | 9.6k | 1.1k | 1k | 170k |
+| FeTaQA | ✓ | 7.3k | 1k | 2k | 10.3k |
+| OTT-QA (small) | ✓ | 41.5k | 2.2k | -- | 8.8k |
+| MultiHierTT | ✗ | -- | 929 | -- | 9.9k |
+| AIT-QA | ✗ | -- | -- | 515 | 1.9k |
+| StatcanRetrieval | ✗ | -- | -- | 870 | 5.9k |
+| watsonxDocsQA | ✗ | -- | -- | 30 | 1.1k |
+
+## Citation
+
+If you use **TableIR Eval: Table-Text IR Evaluation Collection**, please cite:
+
+```bibtex
+@misc{doshi2026tableir,
+  title        = {TableIR Eval: Table-Text IR Evaluation Collection},
+  author       = {Doshi, Meet and Boni, Odellia and Kumar, Vishwajeet and Sen, Jaydeep and Joshi, Sachindra},
+  year         = {2026},
+  institution  = {IBM Research},
+  howpublished = {https://huggingface.co/collections/ibm-research/table-text-ir-evaluation},
+  note         = {Hugging Face dataset collection}
+}
+```
+
+All credit goes to original authors. Please cite their work:
+```bibtex
+@article{chen2021ottqa,
+  title={Open Question Answering over Tables and Text},
+  author={Wenhu Chen, Ming-wei Chang, Eva Schlinger, William Wang, William Cohen},
+  journal={Proceedings of ICLR 2021},
+  year={2021}
+}
+```

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train_linearized/config.json

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