Publish StockNet ACL18 artifact payload
Browse files- .gitattributes +4 -0
- datasets/stocknet/acl18_paper/v0/dev.jsonl +0 -0
- datasets/stocknet/acl18_paper/v0/download_meta.json +73 -0
- datasets/stocknet/acl18_paper/v0/ingest_summary.json +50 -0
- datasets/stocknet/acl18_paper/v0/test.jsonl +3 -0
- datasets/stocknet/acl18_paper/v0/train.jsonl +3 -0
- reports/stocknet_acl18_paper/finben_wrapper_audit.json +126 -0
- reports/stocknet_acl18_paper/raw_schema_summary.json +39 -0
- reports/stocknet_acl18_paper/reconstruction_audit.json +237 -0
- tasks/stocknet_acl18_stockmove_v0/README.md +34 -0
- tasks/stocknet_acl18_stockmove_v0/requests/dev_requests.jsonl +0 -0
- tasks/stocknet_acl18_stockmove_v0/requests/test_requests.jsonl +3 -0
- tasks/stocknet_acl18_stockmove_v0/requests/train_requests.jsonl +3 -0
.gitattributes
CHANGED
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@@ -83,3 +83,7 @@ datasets/bigdata22/official/v0/valid.jsonl filter=lfs diff=lfs merge=lfs -text
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| 83 |
datasets/bigdata22/official/v0/test.jsonl filter=lfs diff=lfs merge=lfs -text
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| 84 |
tasks/bigdata22_stock_movement_v0/requests/train_requests.jsonl filter=lfs diff=lfs merge=lfs -text
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| 85 |
tasks/bigdata22_stock_movement_v0/requests/test_requests.jsonl filter=lfs diff=lfs merge=lfs -text
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| 83 |
datasets/bigdata22/official/v0/test.jsonl filter=lfs diff=lfs merge=lfs -text
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| 84 |
tasks/bigdata22_stock_movement_v0/requests/train_requests.jsonl filter=lfs diff=lfs merge=lfs -text
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| 85 |
tasks/bigdata22_stock_movement_v0/requests/test_requests.jsonl filter=lfs diff=lfs merge=lfs -text
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| 86 |
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datasets/stocknet/acl18_paper/v0/test.jsonl filter=lfs diff=lfs merge=lfs -text
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| 87 |
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datasets/stocknet/acl18_paper/v0/train.jsonl filter=lfs diff=lfs merge=lfs -text
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| 88 |
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tasks/stocknet_acl18_stockmove_v0/requests/test_requests.jsonl filter=lfs diff=lfs merge=lfs -text
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| 89 |
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tasks/stocknet_acl18_stockmove_v0/requests/train_requests.jsonl filter=lfs diff=lfs merge=lfs -text
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datasets/stocknet/acl18_paper/v0/dev.jsonl
ADDED
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The diff for this file is too large to render.
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datasets/stocknet/acl18_paper/v0/download_meta.json
ADDED
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@@ -0,0 +1,73 @@
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{
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"source_repo": "yumoxu/stocknet-dataset",
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| 3 |
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"source_url": "https://github.com/yumoxu/stocknet-dataset",
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| 4 |
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"source_commit": "330708b5ddc359961078bef469f43f48992fd6e4",
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| 5 |
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"source_snapshot_datetime_utc": "2026-04-16T17:26:07.549375+00:00",
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"acquisition_method": "git_clone_checkout_copytree",
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| 7 |
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"source_snapshot_root": "data/stocknet_acl18_paper/raw/source_snapshot",
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"source_snapshot_file_count": 55141,
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"source_snapshot_file_sample": [
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"LICENSE",
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"README.md",
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"StockTable",
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"appendix_table_of_target_stocks.pdf",
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"price/preprocessed/AAPL.txt",
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"price/preprocessed/ABB.txt",
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"price/preprocessed/ABBV.txt",
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"price/preprocessed/AEP.txt",
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"price/preprocessed/AGFS.txt",
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"price/preprocessed/AMGN.txt",
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"price/preprocessed/AMZN.txt",
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"price/preprocessed/BA.txt",
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| 22 |
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"price/preprocessed/BABA.txt",
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| 23 |
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"price/preprocessed/BAC.txt",
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"price/preprocessed/BBL.txt",
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"price/preprocessed/BCH.txt",
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"price/preprocessed/BHP.txt",
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"price/preprocessed/BP.txt",
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| 28 |
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"price/preprocessed/BRK-A.txt",
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| 29 |
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"price/preprocessed/BSAC.txt",
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"price/preprocessed/BUD.txt",
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"price/preprocessed/C.txt",
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"price/preprocessed/CAT.txt",
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"price/preprocessed/CELG.txt",
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"price/preprocessed/CHL.txt",
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"price/preprocessed/CHTR.txt",
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"price/preprocessed/CMCSA.txt",
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"price/preprocessed/CODI.txt",
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| 38 |
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"price/preprocessed/CSCO.txt",
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| 39 |
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"price/preprocessed/CVX.txt",
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| 40 |
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"price/preprocessed/D.txt",
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| 41 |
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"price/preprocessed/DHR.txt",
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| 42 |
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"price/preprocessed/DIS.txt",
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| 43 |
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"price/preprocessed/DUK.txt",
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| 44 |
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"price/preprocessed/EXC.txt",
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| 45 |
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"price/preprocessed/FB.txt",
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| 46 |
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"price/preprocessed/GD.txt",
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| 47 |
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"price/preprocessed/GE.txt",
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| 48 |
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"price/preprocessed/GMRE.txt",
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| 49 |
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"price/preprocessed/GOOG.txt",
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| 50 |
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"price/preprocessed/HD.txt",
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| 51 |
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"price/preprocessed/HON.txt",
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| 52 |
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"price/preprocessed/HRG.txt",
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| 53 |
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"price/preprocessed/HSBC.txt",
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| 54 |
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"price/preprocessed/IEP.txt",
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| 55 |
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"price/preprocessed/INTC.txt",
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| 56 |
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"price/preprocessed/JNJ.txt",
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| 57 |
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"price/preprocessed/JPM.txt",
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| 58 |
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"price/preprocessed/KO.txt",
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| 59 |
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"price/preprocessed/LMT.txt"
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| 60 |
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],
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| 61 |
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"source_snapshot_checksums_manifest": "data/stocknet_acl18_paper/raw/source_snapshot_checksums.sha256",
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| 62 |
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"sha256_by_core_file": {
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| 63 |
+
"README.md": "e3f2dee0b0214632a7ab257ffb35396170250a37c2b83077ffcfc5533dfafbdd",
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| 64 |
+
"LICENSE": "c0fc08ddd92c2e442f5e9fe583c0905e78dc5bda9f5344c376681a0e7e179e51",
|
| 65 |
+
"StockTable": "7dc3b5109b1b702fc8d2d36a2a463d62cc44081964d0060b6f8eeda0943dc1ec",
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| 66 |
+
"appendix_table_of_target_stocks.pdf": "eabb7aede03dc0ca571b98afc3c095fdf2886a13b96415f7213526b88433c245"
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| 67 |
+
},
|
| 68 |
+
"notes": [
|
| 69 |
+
"The official StockNet repository is MIT-licensed.",
|
| 70 |
+
"Original source repository is MIT-licensed. The released corpus includes tweet-derived content collected under Twitter's official license and price data sourced from Yahoo Finance; downstream users should review applicable platform/source terms before reuse.",
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| 71 |
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"Exact paper counts are reproducible from the official StockNet release when preserving the paper's split boundaries, 5-day alignment, and asymmetric thresholding. A stricter hard tweet-presence filter would drop the release to 18,695 samples across every official dataset snapshot, so ST312 treats that line in the paper as a documented source inconsistency rather than a canonical retention rule."
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| 72 |
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]
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| 73 |
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}
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datasets/stocknet/acl18_paper/v0/ingest_summary.json
ADDED
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@@ -0,0 +1,50 @@
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{
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| 2 |
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"dataset_id": "stocknet_acl18_paper_v0",
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| 3 |
+
"canonical_source": "yumoxu/stocknet-dataset",
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| 4 |
+
"source_commit": "330708b5ddc359961078bef469f43f48992fd6e4",
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| 5 |
+
"paper_expected_counts": {
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| 6 |
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"train": 20339,
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| 7 |
+
"dev": 2555,
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| 8 |
+
"test": 3720
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| 9 |
+
},
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| 10 |
+
"paper_expected_total": 26614,
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| 11 |
+
"reconstructed_counts": {
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| 12 |
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"train": 20339,
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| 13 |
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"dev": 2555,
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| 14 |
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"test": 3720
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| 15 |
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},
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| 16 |
+
"reconstructed_total": 26614,
|
| 17 |
+
"number_of_stocks_in_price_release": 88,
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| 18 |
+
"number_of_stocks_in_tweet_release": 87,
|
| 19 |
+
"number_of_stocks_with_reconstructed_samples": 87,
|
| 20 |
+
"number_of_candidate_stock_days_before_thresholding": 43442,
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| 21 |
+
"number_removed_by_middle_band_filter": 16820,
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| 22 |
+
"number_removed_for_insufficient_history": 8,
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| 23 |
+
"strict_tweet_presence_filter_drop_count": 7924,
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| 24 |
+
"strict_tweet_presence_filter_counts": {
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| 25 |
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"train": 14187,
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| 26 |
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"dev": 1871,
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| 27 |
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"test": 2632
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| 28 |
+
},
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| 29 |
+
"split_counts": {
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| 30 |
+
"train": 20339,
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| 31 |
+
"dev": 2555,
|
| 32 |
+
"test": 3720
|
| 33 |
+
},
|
| 34 |
+
"all_paper_count_invariants_passed": true,
|
| 35 |
+
"strict_tweet_presence_filter_matches_paper_counts": false,
|
| 36 |
+
"per_stock_anomalies": {
|
| 37 |
+
"missing_tweet_directories": [
|
| 38 |
+
"GMRE"
|
| 39 |
+
],
|
| 40 |
+
"stocks_without_reconstructed_samples": [
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| 41 |
+
"GMRE"
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| 42 |
+
]
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| 43 |
+
},
|
| 44 |
+
"notes": [
|
| 45 |
+
"Canonical reconstruction preserves the paper's exact split dates and total sample counts.",
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| 46 |
+
"Middle-band filtering uses the paper thresholds <= -0.5% -> Fall and > 0.55% -> Rise.",
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| 47 |
+
"The official release contains many threshold-retained samples with zero tweets in the 5-day lag; ST312 documents this but does not apply it as a hard filter because doing so breaks the exact paper counts.",
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| 48 |
+
"Original source repository is MIT-licensed. The released corpus includes tweet-derived content collected under Twitter's official license and price data sourced from Yahoo Finance; downstream users should review applicable platform/source terms before reuse."
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| 49 |
+
]
|
| 50 |
+
}
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datasets/stocknet/acl18_paper/v0/test.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a2b36ddba69d73cec1c269a50246ac76e59e0161496e2be3efcba14a3a2dbde
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size 13890777
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datasets/stocknet/acl18_paper/v0/train.jsonl
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:58cd8e013541c8e062bd06805f652f01fecf27ed5872e66a48d639bc7a5292d5
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size 73982295
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reports/stocknet_acl18_paper/finben_wrapper_audit.json
ADDED
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@@ -0,0 +1,126 @@
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{
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| 2 |
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"wrapper_dataset": "TheFinAI/flare-sm-acl",
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| 3 |
+
"wrapper_split_counts_observed": {
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| 4 |
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"train": 20781,
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| 5 |
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"test": 3720,
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| 6 |
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"valid": 2555
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},
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| 8 |
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"canonical_split_counts": {
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| 9 |
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"train": 20339,
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| 10 |
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"dev": 2555,
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| 11 |
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"test": 3720
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| 12 |
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},
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| 13 |
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"field_shape_differences": {
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| 14 |
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"wrapper_fields": {
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| 15 |
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"train": [
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| 16 |
+
"id",
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| 17 |
+
"query",
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| 18 |
+
"answer",
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| 19 |
+
"text",
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| 20 |
+
"choices",
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| 21 |
+
"gold"
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| 22 |
+
],
|
| 23 |
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"test": [
|
| 24 |
+
"id",
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| 25 |
+
"query",
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| 26 |
+
"answer",
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| 27 |
+
"text",
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| 28 |
+
"choices",
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| 29 |
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"gold"
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| 30 |
+
],
|
| 31 |
+
"valid": [
|
| 32 |
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"id",
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| 33 |
+
"query",
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| 34 |
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"answer",
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| 35 |
+
"text",
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| 36 |
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"choices",
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| 37 |
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"gold"
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| 38 |
+
]
|
| 39 |
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},
|
| 40 |
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"canonical_row_shape": [
|
| 41 |
+
"example_id",
|
| 42 |
+
"dataset_id",
|
| 43 |
+
"split",
|
| 44 |
+
"stock_symbol",
|
| 45 |
+
"target_date",
|
| 46 |
+
"label_int",
|
| 47 |
+
"label_text",
|
| 48 |
+
"target_movement_percent",
|
| 49 |
+
"target_price_prev_adj_close",
|
| 50 |
+
"target_price_adj_close",
|
| 51 |
+
"calendar_lag_days",
|
| 52 |
+
"aligned_trading_days_count",
|
| 53 |
+
"aligned_days",
|
| 54 |
+
"auxiliary_targets",
|
| 55 |
+
"source_dataset",
|
| 56 |
+
"source_policy"
|
| 57 |
+
]
|
| 58 |
+
},
|
| 59 |
+
"sample_rows": {
|
| 60 |
+
"train": {
|
| 61 |
+
"id": "aclsm0",
|
| 62 |
+
"query": "Scrutinize the data and tweets to envisage if the closing price of $csco will swell or contract at 2014-01-02. Please affirm either Rise or Fall.\nContext: date,open,high,low,close,adj-close,inc-5,inc-10,inc-15,inc-20,inc-25,inc-30\n2013-12-17,-0.9,1.0,-1.1,1.2,1.2,-1.3,-0.0,0.4,0.9,2.1,3.6\n2013-12-18,-0.6,0.2,-2.3,0.4,0.4,-1.6,-0.5,-0.0,0.4,1.2,2.9\n2013-12-19,0.0,0.0,-1.4,0.3,0.3,-1.4,-0.8,-0.4,0.0,0.3,2.2\n2013-12-20,-0.3,0.6,-0.8,0.3,0.3,-0.8,-1.2,-0.7,-0.4,-0.0,1.6\n2013-12-23,-1.5,0.3,-1.6,2.1,2.1,-2.0,-3.0,-2.6,-2.4,-2.1,-0.8\n2013-12-24,-1.1,0.3,-1.2,0.6,0.6,-1.8,-3.3,-3.0,-2.8,-2.5,-1.6\n2013-12-26,-0.4,0.4,-0.4,0.5,0.5,-1.6,-3.4,-3.3,-3.2,-3.0,-2.4\n2013-12-27,-1.0,0.1,-1.1,1.0,1.0,-1.7,-3.7,-4.0,-4.0,-3.8,-3.6\n2013-12-30,-1.1,0.4,-1.1,1.0,1.0,-1.7,-3.8,-4.7,-4.7,-4.6,-4.5\n2013-12-31,-0.8,0.2,-1.2,0.8,0.8,-1.7,-3.8,-5.1,-5.2,-5.2,-5.1\n\n2014-01-01: weekly s&p500 #stocks trend $btu $dhi $jcp $mat $joy $oke $isrg $omc $jnpr $dis $csco $ctxs $se $emn $nbr $fls @ |2013 wrap-up and trading set review - part iii $aapl #apple $bp $cnw $csco $csx $\nAnswer:",
|
| 63 |
+
"answer": "Fall",
|
| 64 |
+
"text": "date,open,high,low,close,adj-close,inc-5,inc-10,inc-15,inc-20,inc-25,inc-30\n2013-12-17,-0.9,1.0,-1.1,1.2,1.2,-1.3,-0.0,0.4,0.9,2.1,3.6\n2013-12-18,-0.6,0.2,-2.3,0.4,0.4,-1.6,-0.5,-0.0,0.4,1.2,2.9\n2013-12-19,0.0,0.0,-1.4,0.3,0.3,-1.4,-0.8,-0.4,0.0,0.3,2.2\n2013-12-20,-0.3,0.6,-0.8,0.3,0.3,-0.8,-1.2,-0.7,-0.4,-0.0,1.6\n2013-12-23,-1.5,0.3,-1.6,2.1,2.1,-2.0,-3.0,-2.6,-2.4,-2.1,-0.8\n2013-12-24,-1.1,0.3,-1.2,0.6,0.6,-1.8,-3.3,-3.0,-2.8,-2.5,-1.6\n2013-12-26,-0.4,0.4,-0.4,0.5,0.5,-1.6,-3.4,-3.3,-3.2,-3.0,-2.4\n2013-12-27,-1.0,0.1,-1.1,1.0,1.0,-1.7,-3.7,-4.0,-4.0,-3.8,-3.6\n2013-12-30,-1.1,0.4,-1.1,1.0,1.0,-1.7,-3.8,-4.7,-4.7,-4.6,-4.5\n2013-12-31,-0.8,0.2,-1.2,0.8,0.8,-1.7,-3.8,-5.1,-5.2,-5.2,-5.1\n\n2014-01-01: weekly s&p500 #stocks trend $btu $dhi $jcp $mat $joy $oke $isrg $omc $jnpr $dis $csco $ctxs $se $emn $nbr $fls @ |2013 wrap-up and trading set review - part iii $aapl #apple $bp $cnw $csco $csx $",
|
| 65 |
+
"choices": [
|
| 66 |
+
"Rise",
|
| 67 |
+
"Fall"
|
| 68 |
+
],
|
| 69 |
+
"gold": 1
|
| 70 |
+
},
|
| 71 |
+
"test": {
|
| 72 |
+
"id": "aclsm23336",
|
| 73 |
+
"query": "By reviewing the data and tweets, can we predict if the closing price of $csco will go upwards or downwards at 2015-10-01? Please indicate either Rise or Fall.\nContext: date,open,high,low,close,adj-close,inc-5,inc-10,inc-15,inc-20,inc-25,inc-30\n2015-09-17,0.3,1.5,-0.3,-0.7,-0.7,0.2,0.3,0.0,-0.0,2.0,3.2\n2015-09-18,0.1,0.8,-1.1,-1.3,-1.3,1.2,1.5,1.2,1.0,2.9,4.2\n2015-09-21,-0.4,1.1,-0.7,0.0,0.0,1.0,1.5,1.1,0.8,2.3,3.8\n2015-09-22,-0.3,0.3,-0.7,-1.6,-1.6,2.0,2.7,2.5,2.4,3.4,5.0\n2015-09-23,-0.2,0.1,-1.1,0.6,0.6,0.8,1.8,2.0,2.0,2.3,4.1\n2015-09-24,-1.3,0.4,-1.9,0.5,0.5,-0.1,1.0,1.4,1.4,1.4,3.2\n2015-09-25,-0.8,1.0,-0.9,2.4,2.4,-2.1,-1.4,-1.0,-1.0,-1.1,0.4\n2015-09-28,0.7,1.4,-0.3,-1.4,-1.4,-0.6,-0.0,0.5,0.3,0.2,1.4\n2015-09-29,0.0,1.1,-0.3,-0.1,-0.1,-0.1,-0.1,0.4,0.3,0.3,1.1\n2015-09-30,-1.0,0.5,-1.4,2.4,2.4,-1.7,-2.3,-1.9,-1.8,-1.8,-1.5\n\n2015-09-19: csco cisco systems, inc. p/e ratio$csco $cprt $tanh $eca.to #csco #investing #stock|csco cisco systems, inc. short sales$csco $gs $dbb $pfe #csco #pennystocks #pennystocks\n2015-09-23: gdxj market vectors junior gold miners volume$gdxj $xly $uup $csco #gdxj #pennystocks #invest|cisco helped build china's internet, now struggles push it to strike a deal. $csco via AT_USER|$spy bull \n2015-09-24: will cisco systems, inc. $csco will be able to crack a deal in china? |bnd vanguard total bond market ask$bnd $csco $gdx $joy #bnd #tradeideas #stock\n2015-09-25: saluting the other great #norcal #tech cos including: $aapl $goog $tsla $crm $fb $intc $twtr $adbe $adsk $csco $nflx $ebay $dna $hpq $orcl.|$fb $msft $adbe $twtr $csco $qcom:which high-tech heavy hitt\n2015-09-26: rt rt cvc cablevision systems investor opinions$cvc $ewi $csco…\n2015-09-27: apdn applied dna sciences inc. tick$apdn $csco $tvix $infn #apdn #nasdaq #invest|qld proshares ultra qqq fund short sales$qld $aav.to $csco $iwm #qld #nasdaq #investingqtmm quantum materials…\n2015-09-28: csco cisco systems, inc. stock message board$csco $jjc $tsla $t #csco #pennystocks #nasdaqcsh/un.to chartwell…|$met news: \"i walk the line $cmcsa $csco $cvc $ebay $emc $gm $met $pypl $sbgi …\" analyz\n2015-09-29: fro frontline ltd. company info$fro $avxl $ziop $csco #fro #tradeideas #stockmarket|csco cisco systems, inc. shares$csco $gild $oil $spxu #csco #tradeideas #share|dis walt disney co. eod data$dis $hzn\n2015-09-30: our platinum members have been seeing massive gains on our penny stock picks! subscribe today: $amzn $qcom $csco|$csco - proxy statement (definitive) (def 14a) |recent buy: cisco systems $csco\nAnswer:",
|
| 74 |
+
"answer": "Fall",
|
| 75 |
+
"text": "date,open,high,low,close,adj-close,inc-5,inc-10,inc-15,inc-20,inc-25,inc-30\n2015-09-17,0.3,1.5,-0.3,-0.7,-0.7,0.2,0.3,0.0,-0.0,2.0,3.2\n2015-09-18,0.1,0.8,-1.1,-1.3,-1.3,1.2,1.5,1.2,1.0,2.9,4.2\n2015-09-21,-0.4,1.1,-0.7,0.0,0.0,1.0,1.5,1.1,0.8,2.3,3.8\n2015-09-22,-0.3,0.3,-0.7,-1.6,-1.6,2.0,2.7,2.5,2.4,3.4,5.0\n2015-09-23,-0.2,0.1,-1.1,0.6,0.6,0.8,1.8,2.0,2.0,2.3,4.1\n2015-09-24,-1.3,0.4,-1.9,0.5,0.5,-0.1,1.0,1.4,1.4,1.4,3.2\n2015-09-25,-0.8,1.0,-0.9,2.4,2.4,-2.1,-1.4,-1.0,-1.0,-1.1,0.4\n2015-09-28,0.7,1.4,-0.3,-1.4,-1.4,-0.6,-0.0,0.5,0.3,0.2,1.4\n2015-09-29,0.0,1.1,-0.3,-0.1,-0.1,-0.1,-0.1,0.4,0.3,0.3,1.1\n2015-09-30,-1.0,0.5,-1.4,2.4,2.4,-1.7,-2.3,-1.9,-1.8,-1.8,-1.5\n\n2015-09-19: csco cisco systems, inc. p/e ratio$csco $cprt $tanh $eca.to #csco #investing #stock|csco cisco systems, inc. short sales$csco $gs $dbb $pfe #csco #pennystocks #pennystocks\n2015-09-23: gdxj market vectors junior gold miners volume$gdxj $xly $uup $csco #gdxj #pennystocks #invest|cisco helped build china's internet, now struggles push it to strike a deal. $csco via AT_USER|$spy bull \n2015-09-24: will cisco systems, inc. $csco will be able to crack a deal in china? |bnd vanguard total bond market ask$bnd $csco $gdx $joy #bnd #tradeideas #stock\n2015-09-25: saluting the other great #norcal #tech cos including: $aapl $goog $tsla $crm $fb $intc $twtr $adbe $adsk $csco $nflx $ebay $dna $hpq $orcl.|$fb $msft $adbe $twtr $csco $qcom:which high-tech heavy hitt\n2015-09-26: rt rt cvc cablevision systems investor opinions$cvc $ewi $csco…\n2015-09-27: apdn applied dna sciences inc. tick$apdn $csco $tvix $infn #apdn #nasdaq #invest|qld proshares ultra qqq fund short sales$qld $aav.to $csco $iwm #qld #nasdaq #investingqtmm quantum materials…\n2015-09-28: csco cisco systems, inc. stock message board$csco $jjc $tsla $t #csco #pennystocks #nasdaqcsh/un.to chartwell…|$met news: \"i walk the line $cmcsa $csco $cvc $ebay $emc $gm $met $pypl $sbgi …\" analyz\n2015-09-29: fro frontline ltd. company info$fro $avxl $ziop $csco #fro #tradeideas #stockmarket|csco cisco systems, inc. shares$csco $gild $oil $spxu #csco #tradeideas #share|dis walt disney co. eod data$dis $hzn\n2015-09-30: our platinum members have been seeing massive gains on our penny stock picks! subscribe today: $amzn $qcom $csco|$csco - proxy statement (definitive) (def 14a) |recent buy: cisco systems $csco",
|
| 76 |
+
"choices": [
|
| 77 |
+
"Rise",
|
| 78 |
+
"Fall"
|
| 79 |
+
],
|
| 80 |
+
"gold": 1
|
| 81 |
+
},
|
| 82 |
+
"valid": {
|
| 83 |
+
"id": "aclsm20781",
|
| 84 |
+
"query": "By reviewing the data and tweets, can we predict if the closing price of $v will go upwards or downwards at 2015-08-03? Please indicate either Rise or Fall.\nContext: date,open,high,low,close,adj-close,inc-5,inc-10,inc-15,inc-20,inc-25,inc-30\n2015-07-20,-1.9,0.4,-2.0,2.6,2.6,-2.5,-4.6,-5.4,-5.3,-5.3,-5.3\n2015-07-21,1.1,1.2,-0.4,-0.9,-0.9,-1.1,-3.1,-4.0,-4.2,-4.2,-4.2\n2015-07-22,-0.0,0.3,-0.5,-0.1,-0.1,-0.5,-2.3,-3.5,-4.0,-4.0,-4.0\n2015-07-23,0.6,0.7,-0.8,-0.3,-0.3,0.2,-1.3,-2.8,-3.5,-3.5,-3.6\n2015-07-24,2.6,2.8,-0.5,4.3,4.3,-2.9,-4.5,-6.2,-7.0,-7.2,-7.3\n2015-07-27,0.6,1.2,-0.4,-1.3,-1.3,-1.3,-2.7,-4.5,-5.5,-5.7,-5.9\n2015-07-28,-0.6,0.6,-1.2,1.2,1.2,-1.8,-3.2,-5.0,-6.1,-6.5,-6.7\n2015-07-29,-1.4,0.6,-1.8,1.7,1.7,-2.3,-4.1,-5.8,-7.0,-7.7,-8.0\n2015-07-30,-0.6,0.5,-1.5,0.5,0.5,-1.6,-3.8,-5.4,-6.9,-7.8,-8.1\n2015-07-31,1.5,1.6,-0.0,-1.4,-1.4,-0.1,-1.8,-3.5,-5.2,-6.2,-6.6\n\n2015-07-20: $gs $v $erx $xiv $f july 20th, 2015 watch list - update from option millionaires - stock options chatroom futures... \n2015-07-21: #wallstreet: #dowjones +0.08%, en 18,100.41, #sp500 +0.08% en 2,128.28 y #nasdaq +0.17%. mejor valor: $v +2.57% pe… |dbc db commodities tracking index fund 52wk low$dbc $v $jbl $ng #dbc #invest #stock\n2015-07-22: AT_USER $v visa declares $0.12 dividend |my rental property calculator $bac $usb $wfc $key $jpm $v $ma $dfs $axp|v visa inc. stock forum$v $googl $mu $abc #v #investing #nasdaq|$gs $v $erx $xiv $f we\n2015-07-23: ijjp ijj corp. shares$ijjp $v $luv $xeg.to #ijjp #share #shareinfn infinera corp. dividend…|AT_USER $v just reported earnings for q3 2015 – |rt AT_USER $amzn $v $sbux all up big a/h...strong stocks ge\n2015-07-24: rt AT_USER $v's charlie scharf told it like it is v. #fifa--totally unacceptable behavior. watch #fifa change tomorrow. $v is too power…|fv currency shares canadian dollar trust ex-div date$fv $uso $v\n2015-07-25: v visa inc. last trade$v $gdx $xlv $goog #v #investing #tradeideas|$v message board : \n2015-07-27: \"redrum\" monday? $spy $spx $qqq $iwm $djia $dji $es_f $googl $amzn $aapl $v $p $twtr $fb #bolsa #stocks #trading … |$cat $dd $utx $v trading july's biggest movers month to date \n2015-07-29: ocls oculus innovative sciences inc. investor opinions$ocls $v $iyr $xbi #ocls #stockmarket #shareoih market…|bwld buffalo wild wings inc. message board posts$bwld $ung $jnj $v #bwld #pennystocks #nas\n2015-07-30: vrx valeant pharmaceuticals intl, inc. 52wk high$vrx $rsp $vxx $v #vrx #investing #stockmarket|jake132013 : mnkd mannkind corp. ask size$mnkd $xlp $gdx $v #mn… |fbiox fidelity select biotechnology la\n2015-07-31: v visa inc. chart$v $uso $ew $agn #v #nasdaq #share|*g=tfpxcpte$v<t)$fd:v^p6;oej4r?8lpj?\n2015-08-01: fxy currency shares japanese yen trust p/e ratio$fxy $rig $v $goog #fxy #stockmarket #investing|tsla tesla motors inc. filings$tsla $mdy $spxu $v #tsla #nasdaq #tradeideas|gmcr keurig green mountain, \n2015-08-02: $gs $v $erx $xiv $f the week ahead – august 2nd, 2015 - update from option millionaires - stock options chatroom ... |v visa inc. tick$v $ibm $epi $agn #v #finance #stock|v visa inc. open$v $tfi.to $g\nAnswer:",
|
| 85 |
+
"answer": "Rise",
|
| 86 |
+
"text": "date,open,high,low,close,adj-close,inc-5,inc-10,inc-15,inc-20,inc-25,inc-30\n2015-07-20,-1.9,0.4,-2.0,2.6,2.6,-2.5,-4.6,-5.4,-5.3,-5.3,-5.3\n2015-07-21,1.1,1.2,-0.4,-0.9,-0.9,-1.1,-3.1,-4.0,-4.2,-4.2,-4.2\n2015-07-22,-0.0,0.3,-0.5,-0.1,-0.1,-0.5,-2.3,-3.5,-4.0,-4.0,-4.0\n2015-07-23,0.6,0.7,-0.8,-0.3,-0.3,0.2,-1.3,-2.8,-3.5,-3.5,-3.6\n2015-07-24,2.6,2.8,-0.5,4.3,4.3,-2.9,-4.5,-6.2,-7.0,-7.2,-7.3\n2015-07-27,0.6,1.2,-0.4,-1.3,-1.3,-1.3,-2.7,-4.5,-5.5,-5.7,-5.9\n2015-07-28,-0.6,0.6,-1.2,1.2,1.2,-1.8,-3.2,-5.0,-6.1,-6.5,-6.7\n2015-07-29,-1.4,0.6,-1.8,1.7,1.7,-2.3,-4.1,-5.8,-7.0,-7.7,-8.0\n2015-07-30,-0.6,0.5,-1.5,0.5,0.5,-1.6,-3.8,-5.4,-6.9,-7.8,-8.1\n2015-07-31,1.5,1.6,-0.0,-1.4,-1.4,-0.1,-1.8,-3.5,-5.2,-6.2,-6.6\n\n2015-07-20: $gs $v $erx $xiv $f july 20th, 2015 watch list - update from option millionaires - stock options chatroom futures... \n2015-07-21: #wallstreet: #dowjones +0.08%, en 18,100.41, #sp500 +0.08% en 2,128.28 y #nasdaq +0.17%. mejor valor: $v +2.57% pe… |dbc db commodities tracking index fund 52wk low$dbc $v $jbl $ng #dbc #invest #stock\n2015-07-22: AT_USER $v visa declares $0.12 dividend |my rental property calculator $bac $usb $wfc $key $jpm $v $ma $dfs $axp|v visa inc. stock forum$v $googl $mu $abc #v #investing #nasdaq|$gs $v $erx $xiv $f we\n2015-07-23: ijjp ijj corp. shares$ijjp $v $luv $xeg.to #ijjp #share #shareinfn infinera corp. dividend…|AT_USER $v just reported earnings for q3 2015 – |rt AT_USER $amzn $v $sbux all up big a/h...strong stocks ge\n2015-07-24: rt AT_USER $v's charlie scharf told it like it is v. #fifa--totally unacceptable behavior. watch #fifa change tomorrow. $v is too power…|fv currency shares canadian dollar trust ex-div date$fv $uso $v\n2015-07-25: v visa inc. last trade$v $gdx $xlv $goog #v #investing #tradeideas|$v message board : \n2015-07-27: \"redrum\" monday? $spy $spx $qqq $iwm $djia $dji $es_f $googl $amzn $aapl $v $p $twtr $fb #bolsa #stocks #trading … |$cat $dd $utx $v trading july's biggest movers month to date \n2015-07-29: ocls oculus innovative sciences inc. investor opinions$ocls $v $iyr $xbi #ocls #stockmarket #shareoih market…|bwld buffalo wild wings inc. message board posts$bwld $ung $jnj $v #bwld #pennystocks #nas\n2015-07-30: vrx valeant pharmaceuticals intl, inc. 52wk high$vrx $rsp $vxx $v #vrx #investing #stockmarket|jake132013 : mnkd mannkind corp. ask size$mnkd $xlp $gdx $v #mn… |fbiox fidelity select biotechnology la\n2015-07-31: v visa inc. chart$v $uso $ew $agn #v #nasdaq #share|*g=tfpxcpte$v<t)$fd:v^p6;oej4r?8lpj?\n2015-08-01: fxy currency shares japanese yen trust p/e ratio$fxy $rig $v $goog #fxy #stockmarket #investing|tsla tesla motors inc. filings$tsla $mdy $spxu $v #tsla #nasdaq #tradeideas|gmcr keurig green mountain, \n2015-08-02: $gs $v $erx $xiv $f the week ahead – august 2nd, 2015 - update from option millionaires - stock options chatroom ... |v visa inc. tick$v $ibm $epi $agn #v #finance #stock|v visa inc. open$v $tfi.to $g",
|
| 87 |
+
"choices": [
|
| 88 |
+
"Rise",
|
| 89 |
+
"Fall"
|
| 90 |
+
],
|
| 91 |
+
"gold": 0
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"threshold_rule_difference_note": "The FLARE wrapper is promptized and aligns with a simplified public description, while the canonical ST312 module preserves the paper-level asymmetric thresholds <= -0.5% / > 0.55% and exact ACL18 split counts.",
|
| 95 |
+
"wrapper_date_range_and_lag_window_note": "Wrapper examples appear to present a 10-row flattened historical context and observed split counts 20,781 / 2,555 / 3,720, which do not match the paper's 20,339 / 2,555 / 3,720 split counts.",
|
| 96 |
+
"answer_gold_semantics": {
|
| 97 |
+
"train": {
|
| 98 |
+
"answer_label": "Fall",
|
| 99 |
+
"gold_label": "Fall",
|
| 100 |
+
"choices": [
|
| 101 |
+
"Rise",
|
| 102 |
+
"Fall"
|
| 103 |
+
]
|
| 104 |
+
},
|
| 105 |
+
"test": {
|
| 106 |
+
"answer_label": "Fall",
|
| 107 |
+
"gold_label": "Fall",
|
| 108 |
+
"choices": [
|
| 109 |
+
"Rise",
|
| 110 |
+
"Fall"
|
| 111 |
+
]
|
| 112 |
+
},
|
| 113 |
+
"valid": {
|
| 114 |
+
"answer_label": "Rise",
|
| 115 |
+
"gold_label": "Rise",
|
| 116 |
+
"choices": [
|
| 117 |
+
"Rise",
|
| 118 |
+
"Fall"
|
| 119 |
+
]
|
| 120 |
+
}
|
| 121 |
+
},
|
| 122 |
+
"notes": [
|
| 123 |
+
"The FLARE wrapper is audited only as a compatibility surface and does not define the canonical StockNet dataset.",
|
| 124 |
+
"Wrapper answer values appear to use Rise/Fall directly, while wrapper gold values appear to be choice indices."
|
| 125 |
+
]
|
| 126 |
+
}
|
reports/stocknet_acl18_paper/raw_schema_summary.json
ADDED
|
@@ -0,0 +1,39 @@
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|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "stocknet_acl18_paper_v0",
|
| 3 |
+
"source_repo": "yumoxu/stocknet-dataset",
|
| 4 |
+
"source_commit": "330708b5ddc359961078bef469f43f48992fd6e4",
|
| 5 |
+
"price_preprocessed_file_count": 88,
|
| 6 |
+
"price_raw_file_count": 88,
|
| 7 |
+
"tweet_preprocessed_dir_count": 87,
|
| 8 |
+
"tweet_raw_dir_count": 87,
|
| 9 |
+
"missing_tweet_dirs": [
|
| 10 |
+
"GMRE"
|
| 11 |
+
],
|
| 12 |
+
"sample_price_preprocessed_fields": [
|
| 13 |
+
"date",
|
| 14 |
+
"movement_percent",
|
| 15 |
+
"open_norm",
|
| 16 |
+
"high_norm",
|
| 17 |
+
"low_norm",
|
| 18 |
+
"close_norm",
|
| 19 |
+
"volume"
|
| 20 |
+
],
|
| 21 |
+
"sample_price_raw_fields": [
|
| 22 |
+
"date",
|
| 23 |
+
"open",
|
| 24 |
+
"high",
|
| 25 |
+
"low",
|
| 26 |
+
"close",
|
| 27 |
+
"adj_close",
|
| 28 |
+
"volume"
|
| 29 |
+
],
|
| 30 |
+
"sample_preprocessed_tweet_texts": [
|
| 31 |
+
"dividend portfolio playoffs wild card game : wells fargo vs . dupont URL $ wfc $ dd"
|
| 32 |
+
],
|
| 33 |
+
"notes": [
|
| 34 |
+
"The official StockNet release exposes 88 price files and 87 tweet directories at the pinned source snapshot.",
|
| 35 |
+
"GMRE appears in the price release but has no corresponding tweet directory and no canonical paper-window samples.",
|
| 36 |
+
"Preprocessed tweet texts are token lists that ST312 joins back into space-separated strings for canonical JSONL serialization.",
|
| 37 |
+
"Price movement percents in the preprocessed release match adjusted-close returns computed from the raw Yahoo Finance CSVs within float tolerance."
|
| 38 |
+
]
|
| 39 |
+
}
|
reports/stocknet_acl18_paper/reconstruction_audit.json
ADDED
|
@@ -0,0 +1,237 @@
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
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|
|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
|
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|
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|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "success",
|
| 3 |
+
"paper_expected_counts": {
|
| 4 |
+
"train": 20339,
|
| 5 |
+
"dev": 2555,
|
| 6 |
+
"test": 3720
|
| 7 |
+
},
|
| 8 |
+
"paper_expected_total": 26614,
|
| 9 |
+
"reconstructed_counts": {
|
| 10 |
+
"train": 20339,
|
| 11 |
+
"dev": 2555,
|
| 12 |
+
"test": 3720
|
| 13 |
+
},
|
| 14 |
+
"reconstructed_total": 26614,
|
| 15 |
+
"candidate_counts_before_filtering": {
|
| 16 |
+
"train": 34220,
|
| 17 |
+
"dev": 3654,
|
| 18 |
+
"test": 5568
|
| 19 |
+
},
|
| 20 |
+
"removal_counts": {
|
| 21 |
+
"middle_band": 16820,
|
| 22 |
+
"insufficient_history": 8
|
| 23 |
+
},
|
| 24 |
+
"strict_tweet_presence_filter_counts": {
|
| 25 |
+
"train": 14187,
|
| 26 |
+
"dev": 1871,
|
| 27 |
+
"test": 2632
|
| 28 |
+
},
|
| 29 |
+
"strict_tweet_presence_filter_total": 18690,
|
| 30 |
+
"strict_tweet_presence_matches_paper_counts": false,
|
| 31 |
+
"strict_tweet_presence_drop_count": 7924,
|
| 32 |
+
"source_snapshot_commit": "330708b5ddc359961078bef469f43f48992fd6e4",
|
| 33 |
+
"stocks_in_price_release": 88,
|
| 34 |
+
"stocks_in_tweet_release": 87,
|
| 35 |
+
"stocks_with_reconstructed_samples": 87,
|
| 36 |
+
"per_stock_sample_counts": {
|
| 37 |
+
"AAPL": 336,
|
| 38 |
+
"ABB": 307,
|
| 39 |
+
"ABBV": 351,
|
| 40 |
+
"AEP": 306,
|
| 41 |
+
"AGFS": 147,
|
| 42 |
+
"AMGN": 354,
|
| 43 |
+
"AMZN": 348,
|
| 44 |
+
"BA": 322,
|
| 45 |
+
"BABA": 237,
|
| 46 |
+
"BAC": 336,
|
| 47 |
+
"BBL": 382,
|
| 48 |
+
"BCH": 313,
|
| 49 |
+
"BHP": 379,
|
| 50 |
+
"BP": 315,
|
| 51 |
+
"BRK-A": 253,
|
| 52 |
+
"BSAC": 341,
|
| 53 |
+
"BUD": 317,
|
| 54 |
+
"C": 335,
|
| 55 |
+
"CAT": 334,
|
| 56 |
+
"CELG": 377,
|
| 57 |
+
"CHL": 330,
|
| 58 |
+
"CHTR": 337,
|
| 59 |
+
"CMCSA": 310,
|
| 60 |
+
"CODI": 306,
|
| 61 |
+
"CSCO": 310,
|
| 62 |
+
"CVX": 312,
|
| 63 |
+
"D": 296,
|
| 64 |
+
"DHR": 273,
|
| 65 |
+
"DIS": 299,
|
| 66 |
+
"DUK": 283,
|
| 67 |
+
"EXC": 323,
|
| 68 |
+
"FB": 365,
|
| 69 |
+
"GD": 297,
|
| 70 |
+
"GE": 296,
|
| 71 |
+
"GOOG": 320,
|
| 72 |
+
"HD": 284,
|
| 73 |
+
"HON": 274,
|
| 74 |
+
"HRG": 333,
|
| 75 |
+
"HSBC": 296,
|
| 76 |
+
"IEP": 332,
|
| 77 |
+
"INTC": 326,
|
| 78 |
+
"JNJ": 263,
|
| 79 |
+
"JPM": 306,
|
| 80 |
+
"KO": 239,
|
| 81 |
+
"LMT": 295,
|
| 82 |
+
"MA": 315,
|
| 83 |
+
"MCD": 254,
|
| 84 |
+
"MDT": 299,
|
| 85 |
+
"MMM": 257,
|
| 86 |
+
"MO": 273,
|
| 87 |
+
"MRK": 310,
|
| 88 |
+
"MSFT": 327,
|
| 89 |
+
"NEE": 301,
|
| 90 |
+
"NGG": 280,
|
| 91 |
+
"NVS": 280,
|
| 92 |
+
"ORCL": 305,
|
| 93 |
+
"PCG": 317,
|
| 94 |
+
"PCLN": 345,
|
| 95 |
+
"PEP": 258,
|
| 96 |
+
"PFE": 279,
|
| 97 |
+
"PG": 230,
|
| 98 |
+
"PICO": 371,
|
| 99 |
+
"PM": 264,
|
| 100 |
+
"PPL": 321,
|
| 101 |
+
"PTR": 371,
|
| 102 |
+
"RDS-B": 323,
|
| 103 |
+
"REX": 404,
|
| 104 |
+
"SLB": 324,
|
| 105 |
+
"SNP": 364,
|
| 106 |
+
"SNY": 326,
|
| 107 |
+
"SO": 269,
|
| 108 |
+
"SPLP": 239,
|
| 109 |
+
"SRE": 289,
|
| 110 |
+
"T": 266,
|
| 111 |
+
"TM": 292,
|
| 112 |
+
"TOT": 359,
|
| 113 |
+
"TSM": 351,
|
| 114 |
+
"UL": 280,
|
| 115 |
+
"UN": 297,
|
| 116 |
+
"UNH": 319,
|
| 117 |
+
"UPS": 256,
|
| 118 |
+
"UTX": 286,
|
| 119 |
+
"V": 309,
|
| 120 |
+
"VZ": 255,
|
| 121 |
+
"WFC": 290,
|
| 122 |
+
"WMT": 266,
|
| 123 |
+
"XOM": 298
|
| 124 |
+
},
|
| 125 |
+
"per_stock_no_tweet_counts": {
|
| 126 |
+
"AAPL": 3,
|
| 127 |
+
"ABB": 196,
|
| 128 |
+
"ABBV": 25,
|
| 129 |
+
"AEP": 143,
|
| 130 |
+
"AGFS": 141,
|
| 131 |
+
"AMGN": 20,
|
| 132 |
+
"AMZN": 5,
|
| 133 |
+
"BA": 9,
|
| 134 |
+
"BABA": 4,
|
| 135 |
+
"BAC": 1,
|
| 136 |
+
"BBL": 236,
|
| 137 |
+
"BCH": 300,
|
| 138 |
+
"BHP": 85,
|
| 139 |
+
"BP": 31,
|
| 140 |
+
"BRK-A": 235,
|
| 141 |
+
"BSAC": 309,
|
| 142 |
+
"BUD": 149,
|
| 143 |
+
"C": 2,
|
| 144 |
+
"CAT": 16,
|
| 145 |
+
"CELG": 16,
|
| 146 |
+
"CHL": 135,
|
| 147 |
+
"CHTR": 118,
|
| 148 |
+
"CMCSA": 31,
|
| 149 |
+
"CODI": 253,
|
| 150 |
+
"CSCO": 6,
|
| 151 |
+
"CVX": 21,
|
| 152 |
+
"D": 2,
|
| 153 |
+
"DHR": 134,
|
| 154 |
+
"DIS": 6,
|
| 155 |
+
"DUK": 108,
|
| 156 |
+
"EXC": 124,
|
| 157 |
+
"GD": 76,
|
| 158 |
+
"GE": 6,
|
| 159 |
+
"HD": 19,
|
| 160 |
+
"HON": 87,
|
| 161 |
+
"HRG": 273,
|
| 162 |
+
"HSBC": 162,
|
| 163 |
+
"IEP": 204,
|
| 164 |
+
"INTC": 7,
|
| 165 |
+
"JNJ": 8,
|
| 166 |
+
"JPM": 7,
|
| 167 |
+
"KO": 6,
|
| 168 |
+
"LMT": 43,
|
| 169 |
+
"MA": 23,
|
| 170 |
+
"MCD": 7,
|
| 171 |
+
"MDT": 69,
|
| 172 |
+
"MMM": 29,
|
| 173 |
+
"MO": 32,
|
| 174 |
+
"MRK": 13,
|
| 175 |
+
"MSFT": 3,
|
| 176 |
+
"NEE": 117,
|
| 177 |
+
"NGG": 219,
|
| 178 |
+
"NVS": 75,
|
| 179 |
+
"ORCL": 14,
|
| 180 |
+
"PCG": 131,
|
| 181 |
+
"PCLN": 7,
|
| 182 |
+
"PEP": 37,
|
| 183 |
+
"PFE": 7,
|
| 184 |
+
"PG": 15,
|
| 185 |
+
"PICO": 341,
|
| 186 |
+
"PM": 84,
|
| 187 |
+
"PPL": 144,
|
| 188 |
+
"PTR": 287,
|
| 189 |
+
"RDS-B": 315,
|
| 190 |
+
"REX": 265,
|
| 191 |
+
"SLB": 44,
|
| 192 |
+
"SNP": 296,
|
| 193 |
+
"SNY": 107,
|
| 194 |
+
"SO": 68,
|
| 195 |
+
"SPLP": 226,
|
| 196 |
+
"SRE": 171,
|
| 197 |
+
"T": 1,
|
| 198 |
+
"TM": 127,
|
| 199 |
+
"TOT": 164,
|
| 200 |
+
"TSM": 183,
|
| 201 |
+
"UL": 182,
|
| 202 |
+
"UN": 186,
|
| 203 |
+
"UNH": 35,
|
| 204 |
+
"UPS": 53,
|
| 205 |
+
"UTX": 50,
|
| 206 |
+
"V": 7,
|
| 207 |
+
"VZ": 7,
|
| 208 |
+
"WFC": 8,
|
| 209 |
+
"WMT": 6,
|
| 210 |
+
"XOM": 7
|
| 211 |
+
},
|
| 212 |
+
"aligned_trading_days_distribution": {
|
| 213 |
+
"2": 1557,
|
| 214 |
+
"3": 14846,
|
| 215 |
+
"4": 5518,
|
| 216 |
+
"5": 4693
|
| 217 |
+
},
|
| 218 |
+
"class_counts_by_split": {
|
| 219 |
+
"train": {
|
| 220 |
+
"Fall": 10021,
|
| 221 |
+
"Rise": 10318
|
| 222 |
+
},
|
| 223 |
+
"dev": {
|
| 224 |
+
"Fall": 1416,
|
| 225 |
+
"Rise": 1139
|
| 226 |
+
},
|
| 227 |
+
"test": {
|
| 228 |
+
"Fall": 1812,
|
| 229 |
+
"Rise": 1908
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"notes": [
|
| 233 |
+
"Canonical ST312 reconstruction preserves the paper's exact split boundaries, 5-day alignment semantics, and asymmetric thresholds.",
|
| 234 |
+
"Exact paper counts are reproducible from the official StockNet release when preserving the paper's split boundaries, 5-day alignment, and asymmetric thresholding. A stricter hard tweet-presence filter would drop the release to 18,695 samples across every official dataset snapshot, so ST312 treats that line in the paper as a documented source inconsistency rather than a canonical retention rule.",
|
| 235 |
+
"This is an inference from the official dataset release and reference code, because every official source snapshot reproduces the paper counts only without the extra hard tweet-presence filter."
|
| 236 |
+
]
|
| 237 |
+
}
|
tasks/stocknet_acl18_stockmove_v0/README.md
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# stocknet_acl18_stockmove_v0
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Canonical ACL18 StockNet stock movement prediction task over `stocknet_acl18_paper_v0`.
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## Formal task id
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`FC_STOCKMOVE_STOCKNET_ACL18_v0`
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## Task definition
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- canonical output is JSON with exactly one key: `label`
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- allowed labels are exactly `Rise` or `Fall`
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- canonical task is the paper-level binary stock movement forecasting problem from 5-day aligned tweet corpora plus historical stock prices
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- this is the original ACL18 task, not a copied FLARE prompt wrapper
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## Evaluation variants
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- `paper_default`: canonical Accuracy + MCC evaluation over the exact paper test split
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- `finben_acl18_optional`: compatibility parser/view that accepts canonical `label` outputs and optional wrapper-style `answer` outputs while still reporting Accuracy + MCC
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## Canonical metrics
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- benchmark metrics: `accuracy`, `mcc`
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- operational diagnostics: `format_valid_rate`, `completion_coverage`, `nonempty_label_rate`
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## Notes
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- reward helpers are exploratory and offline-only; canonical model comparison uses the cached evaluator, not the reward totals
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- the dataset README and reconstruction audit document a source inconsistency around tweet-presence filtering versus exact paper counts
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- Original source repository is MIT-licensed. The released corpus includes tweet-derived content collected under Twitter's official license and price data sourced from Yahoo Finance; downstream users should review applicable platform/source terms before reuse.
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## Output schema
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Return ONLY a JSON object of this form:
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```json
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{
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"label": "Rise"
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}
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```
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tasks/stocknet_acl18_stockmove_v0/requests/dev_requests.jsonl
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tasks/stocknet_acl18_stockmove_v0/requests/test_requests.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:69cb287592c9e0f7eac381f5bd8bb4f5b8e96cab8705e2c9c24d0fc5d2c3d90d
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size 11014881
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tasks/stocknet_acl18_stockmove_v0/requests/train_requests.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:127682313639058051b2151118434ae2b54902373dc5ab7bf38585f5531c11bd
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size 58472479
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