Remove the "all" subsets for simplicity

README.md

@@ -24,14 +24,6 @@ dataset_info:
     num_examples: 39567485
   download_size: 54303161925
   dataset_size: 92216608962
-- config_name: abstract-citation-pair-all
-  features:
-  - name: abstract
-    dtype: string
-  - name: citation
-    sequence: string
-  splits:
-  - name: train
 - config_name: title-abstract-pair
   features:
   - name: title
@@ -56,23 +48,11 @@ dataset_info:
     num_examples: 51030086
   download_size: 7054217221
   dataset_size: 9567159942
-- config_name: title-citation-pair-all
-  features:
-  - name: title
-    dtype: string
-  - name: citation
-    dtype: string
-  splits:
-  - name: train
 configs:
 - config_name: abstract-citation-pair
   data_files:
   - split: train
     path: abstract-citation-pair/train-*
-- config_name: abstract-citation-pair-all
-  data_files:
-  - split: train
-    path: abstract-citation-pair-all/data-*
 - config_name: title-abstract-pair
   data_files:
   - split: train
@@ -82,10 +62,6 @@ configs:
   data_files:
   - split: train
     path: title-citation-pair/train-*
-- config_name: title-citation-pair-all
-  data_files:
-  - split: train
-    path: title-citation-pair-all/data-*
 ---
 
 # Dataset Card for S2ORC
@@ -125,20 +101,6 @@ In our experiments, title-abstract pairs result in the highest performance, foll
 * Collection strategy: Reading the S2ORC titles-citation dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data) and considering each title together with the first citation as a sample.
 * Deduplified: No
 
-### `title-citation-pair-all` subset
-
-* Columns: "title", "citation"
-* Column types: `str`, `str`
-* Examples:
-    ```python
-    {
-      "title": "An apparent neuroleptic malignant syndrome without extrapyramidal symptoms upon initiation of clozapine therapy: report of a case and results of a clozapine rechallenge.",
-      "citation": "Antipsychotic Rechallenge After Neuroleptic Malignant Syndrome with Catatonic Features"
-    }
-    ```
-* Collection strategy: Reading the S2ORC titles-citation dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data) and considering each title together with each citation as a sample.
-* Deduplified: No
-
 ### `abstract-citation-pair` subset
 
 * Columns: "abstract", "citation"
@@ -152,17 +114,3 @@ In our experiments, title-abstract pairs result in the highest performance, foll
     ```
 * Collection strategy: Reading the S2ORC abstract-citation dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data) and considering each citation together with the first abstract as a sample.
 * Deduplified: No
-
-### `abstract-citation-pair-all` subset
-
-* Columns: "abstract", "citation"
-* Column types: `str`, `str`
-* Examples:
-    ```python
-    {
-      "abstract": "The androgen receptor (AR) is a ligand-regulated transcription factor that stimulates cell growth and differentiation in androgen-responsive tissues. The AR N terminus contains two activation functions (AF-1a and AF-1b) that are necessary for maximal transcriptional enhancement by the receptor; however, the mechanisms and components regulating AR transcriptional activation are not fully understood. We sought to identify novel factors that interact with the AR N terminus from an androgen-stimulated human prostate cancer cell library using a yeast two-hybrid approach designed to identify proteins that interact with transcriptional activation domains. A 157-amino acid protein termed ART-27 was cloned and shown to interact predominantly with the AR153–336, containing AF-1a and a part of AF-1b, localize to the nucleus and increase the transcriptional activity of AR when overexpressed in cultured mammalian cells. ART-27 also enhanced the transcriptional activation by AR153–336 fused to the LexA DNA-binding domain but not other AR N-terminal subdomains, suggesting that ART-27 exerts its effect via an interaction with a defined region of the AR N terminus. ART-27 interacts with AR in nuclear extracts from LNCaP cells in a ligand-independent manner. Interestingly, velocity gradient sedimentation of HeLa nuclear extracts suggests that native ART-27 is part of a multiprotein complex. ART-27 is expressed in a variety of human tissues, including sites of androgen action such as prostate and skeletal muscle, and is conserved throughout evolution. Thus, ART-27 is a novel cofactor that interacts with the AR N terminus and plays a role in facilitating receptor-induced transcriptional activation.",
-      "citation": "Androgen-insensitivity syndromes in 46,XY fetuses result in various degrees of impairment in genital virilization.1 These syndromes are caused by mutations in the androgen receptor gene that result in decreased binding of androgen to the receptor.2–9 As a consequence, the transcriptional activity of the androgen–androgen-receptor complex is reduced, and therefore, genital virilization is reduced. The androgen receptor, like other steroid hormone receptors, has two major transactivation domains10 — activation function 1 (AF-1) in the N-terminal region11–13 and activation function 2 (AF-2) in the C-terminal ligand-binding domain14 — that interact with the target genes directly as well as indirectly by . . .",
-    }
-    ```
-* Collection strategy: Reading the S2ORC abstract-citation dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data) and considering each citation together with each abstract as a sample.
-* Deduplified: No